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-   -   Offensive Power Rankings for 2008 (http://www.chiefdelphi.com/forums/showthread.php?t=66388)

cziggy343 06-04-2008 17:49

Re: Offensive Power Rankings for 2008
 
Quote:

Originally Posted by MasterChief 573 (Post 731566)
GRR!!! Must have scouting information!

AMEN!!:D

Bongle 06-04-2008 18:00

Re: Offensive Power Rankings for 2008
 
I'm apparently missing 4 teams, which means that there is some regional that sent only 4 teams that I don't have in my data. I'm guessing the Israel one.

OPR of teams going to the championship event. Qualifying matches at all regionals.
Go check out Travis Hoffman's post a few down, he added position numbers to my more-raw post.

Beware that this post includes all of a team's matches all season. 1114's OPR steadily increased from MW to GTR, and ended up at 80+ at GTR. I'm sure most multi-regional teams did as well.

cziggy343 06-04-2008 18:04

Re: Offensive Power Rankings for 2008
 
sweet! we cracked the top 50!!

Travis Hoffman 06-04-2008 18:07

Re: Offensive Power Rankings for 2008
 
Code:

1 1114    68.5388
2 2056    53.7198
3 987    51.0249
4 233    50.3309
5 330    48.6782
6 39      44.2954
7 103    43.4295
8 1124    42.087
9 67      42.0777
10 525    41.482
11 175    40.3134
12 25      40.2684
13 217    40.0997
14 1024    39.8043
15 1086    37.4098
16 191    37.0664
17 20      36.9179
18 40      36.6407
19 1251    36.1213
20 368    35.623
21 121    35.5714
22 1625    35.182
23 968    35.1251
24 494    35.0843
25 1218    35.0123
26 1574    34.6153
27 141    34.1791
28 1126    33.9523
29 79      33.8184
30 469    33.2445
31 1717    32.6876
32 254    32.2835
33 126    32.1564
34 33      32.0724
35 365    31.1953
36 47      30.8582
37 1156    30.7724
38 16      30.6096
39 1065    30.3857
40 93      29.8324
41 195    29.8271
42 111    29.5598
43 1629    29.3968
44 1477    29.1358
45 100    28.9496
46 66      28.7585
47 359    28.6125
48 343    28.4788
49 1540    28.3682
50 1806    28.017
51 326    27.7706
52 357    27.5585
53 1511    27.4887
54 768    27.479
55 337    27.4018
56 148    27.1543
57 27      26.1802
58 88      26.1603
59 435    25.8861
60 2024    25.7909
61 107    25.7585
62 1598    25.7538
63 703    25.3443
64 692    25.1185
65 341    24.9718
66 1690    24.8488
67 816    24.5822
68 118    24.5244
69 70      24.4839
70 201    24.395
71 1649    24.3187
72 1736    24.3077
73 45      23.9324
74 1592    23.927
75 2575    23.7988
76 358    23.7116
77 501    23.6845
78 2468    23.6265
79 1261    23.1923
80 2550    23.1234
81 179    23.0887
82 1350    23.0551
83 384    22.8185
84 1662    22.7643
85 176    22.7506
86 1450    22.443
87 397    22.3709
88 573    22.2924
89 2016    22.2387
90 1418    22.1045
91 171    22.0562
92 2590    21.8837
93 237    21.8651
94 291    21.4215
95 65      21.4089
96 716    21.3507
97 932    21.2126
98 364    21.098
99 1      20.8269
100 894    20.5645
101 231    20.5528
102 375    20.4583
103 1388    20.4577
104 292    20.3743
105 2046    20.351
106 2062    20.2978
107 316    20.1529
108 2165    20.1297
109 71      19.9203
110 1746    19.9173
111 1503    19.8719
112 1816    19.8565
113 2487    19.5241
114 155    19.4973
115 488    19.2214
116 1987    19.1912
117 555    18.9225
118 180    18.8032
119 2377    18.6943
120 801    18.4733
121 2214    18.4471
122 2171    18.4382
123 1279    18.1647
124 401    17.9687
125 386    17.8205
126 2081    17.7391
127 312    17.6104
128 1094    17.5754
129 68      17.4752
130 84      17.4137
131 1983    17.37
132 1023    17.2405
133 2624    17.1421
134 2520    17.0806
135 48      16.9962
136 2122    16.9006
137 842    16.8603
138 60      16.8602
139 1756    16.8148
140 2472    16.6817
141 1528    16.2211
142 1089    16.1763
143 2668    15.944
144 2609    15.9218
145 486    15.8339
146 2638    15.8122
147 418    15.6866
148 2337    15.6245
149 1429    15.5738
150 177    15.5204
151 236    15.4948
152 2335    15.4937
153 223    15.4728
154 1319    15.2192
155 503    15.0032
156 425    14.9264
157 173    14.8737
158 2437    14.8604
159 57      14.8468
160 2549    14.7843
161 2474    14.7581
162 2455    14.6894
163 812    14.6871
164 1902    14.6679
165 612    14.484
166 288    14.2822
167 2048    14.1751
168 2564    14.1147
169 1386    14.0747
170 1366    14.0205
171 11      13.9983
172 949    13.9306
173 2630    13.9012
174 1699    13.8102
175 832    13.7996
176 2340    13.4792
177 1143    13.4064
178 271    13.3695
179 1108    13.2566
180 2483    13.072
181 686    13.0621
182 1802    13.0529
183 2430    12.9148
184 1305    12.8789
185 1245    12.8424
186 830    12.839
187 1318    12.8149
188 1727    12.7252
189 134    12.7215
190 701    12.6129
191 108    12.5031
192 587    12.3878
193 1939    12.3302
194 597    12.2551
195 138    12.1736
196 2166    12.1586
197 499    12.1446
198 476    12.0935
199 1025    11.9832
200 1646    11.9503
201 329    11.9081
202 1474    11.8134
203 548    11.7584
204 1676    11.7402
205 2352    11.7338
206 1311    11.6068
207 1747    11.513
208 980    11.4191
209 1323    11.4131
210 1014    11.3998
211 1566    11.322
212 207    11.2987
213 2237    11.1831
214 462    11.1008
215 234    10.9566
216 2518    10.8972
217 2053    10.8629
218 527    10.76
219 2556    10.7331
220 102    10.718
221 1165    10.6902
222 1038    10.6671
223 1296    10.6364
224 2449    10.5945
225 302    10.5687
226 120    10.5253
227 340    10.3906
228 294    10.3839
229 226    10.2614
230 2342    10.1489
231 135    10.1218
232 1834    10.0472
233 115    10.0331
234 1732    9.90292
235 1138    9.87211
236 190    9.86987
237 1379    9.66405
238 461    9.65801
239 1533    9.61417
240 2599    9.58294
241 159    9.49258
242 49      9.46218
243 2410    9.45451
244 1538    9.44163
245 1357    9.27256
246 610    9.26925
247 399    9.23661
248 1504    9.19934
249 1868    9.17257
250 128    9.14719
251 87      9.14665
252 122    9.12163
253 457    9.11227
254 85      8.93951
255 1714    8.79298
256 1885    8.78587
257 86      8.7464
258 1013    8.74368
259 2023    8.71529
260 2415    8.61229
261 2423    8.54472
262 2614    8.49272
263 1127    8.40032
264 322    8.36417
265 1502    8.34679
266 2338    8.23834
267 2041    8.03787
268 1033    7.93566
269 1212    7.89683
270 178    7.79773
271 440    7.63165
272 269    7.6034
273 228    7.55048
274 2038    7.53803
275 2591    7.51086
276 2115    7.45546
277 547    7.07262
278 1758    6.79622
279 2454    6.72194
280 433    6.52182
281 839    6.38954
282 1547    6.33932
283 967    6.14301
284 2424    6.04093
285 1102    5.74653
286 599    5.17608
287 1594    5.13978
288 900    5.08778
289 2543    5.05118
290 1398    4.58121
291 1522    4.5526
292 2629    4.38064
293 2354    4.32885
294 303    4.07829
295 1739    3.70054
296 903    3.62318
297 75      3.484
298 224    3.45148
299 1599    3.44745
300 1860    3.44376
301 2557    3.25748
302 151    3.13248
303 5      2.94194
304 1577    2.92397
305 4      2.75584
306 714    2.38724
307 1266    2.26307
308 1071    1.81412
309 2429    1.67518
310 1941    1.62344
311 395    1.37087
312 604    0.738426
313 296    0.647845
314 922    0.311379
315 1523    0.183719
316 1576    -0.647048
317 677    -0.803929
318 752    -0.994666
319 1795    -1.03144
320 868    -1.10528
321 241    -1.19695
322 1595    -1.58176
323 2621    -1.63888
324 203    -2.99325
325 422    -3.16979
326 509    -5.37317
327 468    -8.78458


MasterChief 573 06-04-2008 18:11

Re: Offensive Power Rankings for 2008
 
lol, cracked the top 90!

cziggy343 06-04-2008 18:15

Re: Offensive Power Rankings for 2008
 
i think we now know why its no wonder that whenever 1114 and 2056 got together, there were a lot of points scored:ahh:

BornaE 06-04-2008 18:16

Re: Offensive Power Rankings for 2008
 
Quote:

Originally Posted by Bongle (Post 731584)
I'm apparently missing 4 teams, which means that there is some regional that sent only 4 teams that I don't have in my data. I'm guessing the Israel one.

OPR of teams going to the championship event. Qualifying matches at all regionals.
Go check out Travis Hoffman's post a few down, he added position numbers to my more-raw post.

Beware that this post includes all of a team's matches all season. 1114's OPR steadily increased from MW to GTR, and ended up at 80+ at GTR. I'm sure most multi-regional teams did as well.

Since teams such as 1114 are not going to back down to their older OPR's can you post one that only includes the last regional of each team.
I know it could be challenging to set up the program, but it would be a great tool

Thank You

Bongle 06-04-2008 18:55

Re: Offensive Power Rankings for 2008
 
Quote:

Originally Posted by 0705920 (Post 731601)
Since teams such as 1114 are not going to back down to their older OPR's can you post one that only includes the last regional of each team.
I know it could be challenging to set up the program, but it would be a great tool

Thank You

Alright, I have thought of a way to do that without too much pain. I should have it done in an hour or so.

BornaE 06-04-2008 19:06

Re: Offensive Power Rankings for 2008
 
Thank You!

Joe Ross 06-04-2008 19:13

Re: Offensive Power Rankings for 2008
 
Quote:

Originally Posted by Bongle (Post 731584)
I'm apparently missing 4 teams, which means that there is some regional that sent only 4 teams that I don't have in my data. I'm guessing the Israel one.

You have the Israel teams.

It looks like you are missing 858, 1254, 2335, 2337, and 2604. Looks like 4 of them all went to West Michigan.

Bongle 06-04-2008 19:42

Re: Offensive Power Rankings for 2008
 
2 Attachment(s)
Quote:

Originally Posted by Joe Ross (Post 731618)
You have the Israel teams.

It looks like you are missing 858, 1254, 2335, 2337, and 2604. Looks like 4 of them all went to West Michigan.

West michigan has funnily-formatted results on usfirst.org, and I haven't adopted mine to run on TBA CSV dumps. That's my guess. It's in my list of regionals, but even these updated ones don't include those teams.

Anywho, find attached an XLS file detailing:
-A team's regional count* (I may have missed some regionals due to formatting funniness)
-A team's last OPR
-A team's last regional
-A team's best OPR (if it differed from their last, which didn't happen much)
-A team's best regional

Note that some regionals still don't have all their results up, so for those regionals (Peachtree and one other) the OPR will not be 'accurate'.

oprChamps has only teams attending championships.
oprAll has all teams.

Greg Marra 06-04-2008 19:44

Re: Offensive Power Rankings for 2008
 
Quote:

Originally Posted by Bongle (Post 731633)
West michigan has funnily-formatted results on usfirst.org, and I haven't adopted mine to run on TBA CSV dumps. That's my guess. It's in my list of regionals, but even these updated ones don't include those teams.

Even if you don't use TBA CSV dumps, the data on TBA is formatted very cleanly in HTML tables that ought to copy-paste well into Excel or what have you to turn into good data.

Bongle 06-04-2008 19:47

Re: Offensive Power Rankings for 2008
 
2 Attachment(s)
Quote:

Originally Posted by Greg Marra (Post 731637)
Even if you don't use TBA CSV dumps, the data on TBA is formatted very cleanly in HTML tables that ought to copy-paste well into Excel or what have you to turn into good data.

You make a good point.

Now includes western michigan regional. oprChamps now includes 333 teams, just like it should.

MasterChief 573 06-04-2008 20:01

Re: Offensive Power Rankings for 2008
 
Quote:

Originally Posted by Bongle (Post 731633)
West michigan has funnily-formatted results on usfirst.org, and I haven't adopted mine to run on TBA CSV dumps. That's my guess. It's in my list of regionals, but even these updated ones don't include those teams.

Anywho, find attached an XLS file detailing:
-A team's regional count* (I may have missed some regionals due to formatting funniness)
-A team's last OPR
-A team's last regional
-A team's best OPR (if it differed from their last, which didn't happen much)
-A team's best regional

Note that some regionals still don't have all their results up, so for those regionals (Peachtree and one other) the OPR will not be 'accurate'.

oprChamps has only teams attending championships.
oprAll has all teams.

There seems to be a massive discrepancy in the the championship OPR you posted early today and this one. For example, in the first on our team (573) had a OPR of 22.3 and ranked 88th. This one the OPR is 20.2 and we rank 125th. Would you care explaining this discrepancy to me?

Bongle 06-04-2008 20:02

Re: Offensive Power Rankings for 2008
 
Quote:

Originally Posted by MasterChief 573 (Post 731647)
There seems to be a massive discrepancy in the the championship OPR you posted early today and this one. For example, in the first on our team (573) had a OPR of 22.3 and ranked 88th. This one the OPR is 20.2 and we rank 125th. Would you care explaining this discrepancy to me?

Which regionals did you attend?

Edit: I have discovered you attended pittsburgh and glr, and here is my theory:
-The new listing only ranks you based on your performance per-regional. The old listing was based on a team's total performance over all of its matches throughout the season. Through the magic of mathematics, your team looked a little better when the overall performance of every team was factored in.

So just like teams like 1114 who improved massively regional to regional get a big boost in the new listing, other teams can actually suffer. Although keep in mind that according to the best OPR listing, you're 115th, because your performance at pittsburgh was better than that at GLR.

MasterChief 573 06-04-2008 20:07

Re: Offensive Power Rankings for 2008
 
Quote:

Originally Posted by Bongle (Post 731648)
Which regionals did you attend?

Pittsburgh and GLR. You did point out the difference in the two OPRs (Pitt was 21.6 and GLR was 20.2) But that still doesn't add up. And apparently while our numbers went down, other teams went up from what they were.

Bongle 06-04-2008 20:15

Re: Offensive Power Rankings for 2008
 
Quote:

Originally Posted by MasterChief 573 (Post 731654)
Pittsburgh and GLR. You did point out the difference in the two OPRs (Pitt was 21.6 and GLR was 20.2) But that still doesn't add up. And apparently while our numbers went down, other teams went up from what they were.

Yeah, teams going up is to be expected. Think of a team like 1114, who steadily (and massively) improved their performance from regional to regional. This most-recent listing is ranked by a team's last regional performance, which is very often their best regional performance. A team that did very well at their last competition but poorer earlier would have ranked below you in the earlier rankings (which were based on the whole field of robots at once), but would be ahead of you in these rankings, because these are ranked off of a team's last regional performance, like people requested.

waialua359 06-04-2008 20:24

Re: Offensive Power Rankings for 2008
 
I like the new OPR of the last regional attended, due to the fact that it is more indicative of a team after adjustments to driving, strategy and robot features were made after attending more than 1 regional.
Our biggest feature change was moving our pneumatic piston to our claw which pops balls over the overpass once our claw opens.
We sacrificed popping balls during hybrid and moved it to our claw instead.
With increased speed, hybrid adjustments, and improved driving, we went from doing 1 or no lines in hybrid to now being able to consistently doing 4, with much greater speed, and hurdling capability.
Its too bad it took 3 regionals to figure it out, but at least we will be much better prepared for CMP.
On another note, its funny how us and our favorite Hawaiian teammate are ranked next to each other, off by a few decimal points.:D

AndyB 06-04-2008 20:28

Re: Offensive Power Rankings for 2008
 
I just got an interesting idea.

I have scouting data for matches from Friday at the Wisconsin Regional for every team. However, the power rankings are for every match.

Could someone please figure out the power rankings using only Friday's Wisconsin matches for comparison?

Bongle 06-04-2008 20:50

Re: Offensive Power Rankings for 2008
 
Quote:

Originally Posted by AndyB (Post 731665)
I just got an interesting idea.

I have scouting data for matches from Friday at the Wisconsin Regional for every team. However, the power rankings are for every match.

Could someone please figure out the power rankings using only Friday's Wisconsin matches for comparison?

Code:

Team        One        Last OPR
1625        1        45.6544
141        1        37.3371
1730        1        31.3317
2169        1        27.3694
2062        1        25.2449
1736        1        20.5779
1816        1        19.864
1675        1        19.2832
2547        1        18.3416
2549        1        17.2544
93        1        17.011
171        1        16.9353
930        1        16.7177
2606        1        16.5577
2077        1        16.0525
2153        1        15.7331
1850        1        15.6312
1091        1        15.5336
2202        1        14.8521
2481        1        14.6515
2545        1        14.5534
2526        1        13.1104
2437        1        12.7125
1716        1        11.9898
537        1        11.9816
166        1        10.9945
2574        1        10.0294
904        1        9.62609
2039        1        9.34348
1259        1        9.1616
2506        1        8.72875
167        1        8.64531
2667        1        8.18725
2535        1        7.59668
2530        1        7.49738
269        1        7.30741
1714        1        7.01325
857        1        6.86925
2116        1        6.45649
1103        1        5.9275
1732        1        5.82385
1652        1        5.42679
2129        1        4.6678
74        1        3.92383
2143        1        3.64548
2538        1        2.9253
2136        1        2.26655
2220        1        1.04619
1306        1        0.442787
1739        1        0.0543406
1988        1        -0.00043864
1864        1        -0.086347
1984        1        -0.339205
2194        1        -0.386904
754        1        -1.22019
81        1        -1.43283
706        1        -1.65319
2586        1        -2.85733
1268        1        -6.65054
2561        1        -11.5318


MasterChief 573 06-04-2008 20:55

Re: Offensive Power Rankings for 2008
 
Quote:

Originally Posted by Bongle (Post 731659)
these are ranked off of a team's last regional performance, like people requested.

Oh thats it, so the first one was an overall OPR and the last one was based only on a teams last performances? Gotcha.

AndyB 06-04-2008 21:08

Re: Offensive Power Rankings for 2008
 
My data was determined using actual scouting. Scouting was done by 2194 and 171. I have the data for every team if you want me to compile it all. This is only for Friday at Milwaukee for comparison.

Kind of interesting to see the differences.

Power Rankings
Code:

1625        1        45.6544
141        1        37.3371
1730        1        31.3317
2169        1        27.3694
2062        1        25.2449
1736        1        20.5779
1816        1        19.864
1675        1        19.2832
2547        1        18.3416
2549        1        17.2544
93        1        17.011
171        1        16.9353
930        1        16.7177
2606        1        16.5577
2077        1        16.0525
2153        1        15.7331
1850        1        15.6312
1091        1        15.5336
2202        1        14.8521
2481        1        14.6515
2545        1        14.5534
2526        1        13.1104
2437        1        12.7125
1716        1        11.9898
537        1        11.9816
166        1        10.9945
2574        1        10.0294
904        1        9.62609
2039        1        9.34348
1259        1        9.1616
2506        1        8.72875
167        1        8.64531
2667        1        8.18725
2535        1        7.59668
2530        1        7.49738
269        1        7.30741
1714        1        7.01325
857        1        6.86925
2116        1        6.45649
1103        1        5.9275
1732        1        5.82385
1652        1        5.42679
2129        1        4.6678
74        1        3.92383
2143        1        3.64548
2538        1        2.9253
2136        1        2.26655
2220        1        1.04619
1306        1        0.442787
1739        1        0.0543406
1988        1        -0.00043864
1864        1        -0.086347
1984        1        -0.339205
2194        1        -0.386904
754        1        -1.22019
81        1        -1.43283
706        1        -1.65319
2586        1        -2.85733
1268        1        -6.65054
2561        1        -11.5318

Actual
Code:

Team      Avg Pts/Match
2062      35.67
171      35.67
93        32.67
1625      32.40
1730      29.00
141      28.67
2169      27.00
930      23.20
2545      23.00
1732      21.60
1816      21.33
2039      18.00
166      17.00
1736      15.67
1259      15.60
2481      15.00
1652      14.67
2606      14.40
2077      14.00
2530      14.00
2202      13.20
2129      12.80
2194      12.80


Joe Ross 06-04-2008 21:18

Re: Offensive Power Rankings for 2008
 
Can you post San Diego?

JB987 06-04-2008 21:18

Re: Offensive Power Rankings for 2008
 
Nice job on the stats all of you who have been working the numbers...a thought has occurred regarding use of last regional numbers to rank teams-a stated presumption of best performance then if multiple regionals were entered doesn't take into account factors like some regionals with a higher proportion of rookie teams (translating often into higher scores by veteran teams) which was seen in Hawaii last week and Okla and Minn. earlier. Also, increasing levels of defense have shown up in some of the latest regionals as the game evolves (watch footage from LVR). Seems like an average of all performances is more representative...and the likely data source my team will use for some assistance with early scouting.

Greg Marra 06-04-2008 21:21

Re: Offensive Power Rankings for 2008
 
Too bad FIRST doesn't report penalties. I wonder how those are affecting these results.

AndyB 06-04-2008 21:23

Re: Offensive Power Rankings for 2008
 
Well, the head ref records penatlies for each robot during the match on a sheet, but you never see it unless you go to the "Contest the score" box.

My data comes from Lines Crossed in Hybrid, Balls Removed in Hybrid, Laps, Herds, Hurdles, and Balls Placed at the End.

XaulZan11 06-04-2008 21:59

Re: Offensive Power Rankings for 2008
 
Like 171/2194, 1732 recorded the amount of points a team scored per match at Wisconsin. We kept track of lines and balls knocked down in hybrid, laps, hurdlers, herds and balls placed at the end.

I ran a correlation test to see how related the two sets of data are and see how good the OPR is at predicting how many points a team scores per match. There are some assumptions/problems. First, our scouting data isn't perfect so there is some error from that. Secondly, our scouting data doesn't include penalties, but the ORP does account for them. So, when doing a linear regression, I got an R value of .7841 and an R-squared value of .6149. (A perfect relationship would have an R value of -1 or 1 and no relationship would be 0). So, while it is not pefect (not surprising) the ORP is a fairly good predictor of a team's preformance.

AndyB 06-04-2008 22:17

Re: Offensive Power Rankings for 2008
 
Quote:

Originally Posted by XaulZan11 (Post 731729)
Like 171/2194, 1732 recorded the amount of points a team scored per match at Wisconsin. We kept track of lines and balls knocked down in hybrid, laps, hurdlers, herds and balls placed at the end.

I ran a correlation test to see how related the two sets of data are and see how good the OPR is at predicting how many points a team scores per match. There are some assumptions/problems. First, our scouting data isn't perfect so there is some error from that. Secondly, our scouting data doesn't include penalties, but the ORP does account for them. So, when doing a linear regression, I got an R value of .7841 and an R-squared value of .6149. (A perfect relationship would have an R value of -1 or 1 and no relationship would be 0). So, while it is not pefect (not surprising) the ORP is a fairly good predictor of a team's preformance.

I agree. The OPR does do a pretty good job. Of course, hard data is nice too, but I find it really awesome that you can figure this much out with just match scores.

John Wanninger 06-04-2008 22:39

Re: Offensive Power Rankings for 2008
 
Quote:

Originally Posted by AndyB (Post 731684)
My data was determined using actual scouting. Scouting was done by 2194 and 171. I have the data for every team if you want me to compile it all. This is only for Friday at Milwaukee for comparison.

Kind of interesting to see the differences.

One reason for Offensive Power Rankings not matching reality is due to the fact that OPR’s are based on the averages of partners’ OPRs rather than actual contributions. Any deviation of a team from its ‘average’ contribution in a given match will always erroneously drive their partners’ OPR up or down.

These deviations can be large; it would not be unusual for a team to contribute 20 points in one match and then perhaps due to penalties, “contribute” -20 in the next. Given enough matches one might expect these errors to cancel each other out. However, when there is a limited number of matches (think: 8 coin tosses don’t always produce 4 heads and 4 tails) and the high degree of volatility, the error can be significant.

So while the OPR may be a good predictor, there's still no substitute for accurate, detailed scouting!

AndyB 06-04-2008 23:14

Re: Offensive Power Rankings for 2008
 
Quote:

Originally Posted by John Wanninger (Post 731757)
One reason for Offensive Power Rankings not matching reality is due to the fact that OPR’s are based on the averages of partners’ OPRs rather than actual contributions. Any deviation of a team from its ‘average’ contribution in a given match will always erroneously drive their partners’ OPR up or down.

These deviations can be large; it would not be unusual for a team to contribute 20 points in one match and then perhaps due to penalties, “contribute” -20 in the next. Given enough matches one might expect these errors to cancel each other out. However, when there is a limited number of matches (think: 8 coin tosses don’t always produce 4 heads and 4 tails) and the high degree of volatility, the error can be significant.

So while the OPR may be a good predictor, there's still no substitute for accurate, detailed scouting!

Spot on John. Congrats on the Woodie btw. You deserve it. Hope to catch up with you in Atlanta.

Eugene Fang 06-04-2008 23:33

Re: Offensive Power Rankings for 2008
 
I asked this question earlier, but no one replied to it:

if there was a normally very high scoring team that happened to malfunction in a match where they were in your alliance, or was defended a lot in your particular round, wouldn't your score be highly skewed?

-also-

if three very very good teams were in the same round on the same team at the same time, wouldnt it also get skewed?

thanks for any input, because the OPR isnt even close to our average point contribution to our allinace that i calculated by hand after watching our regional videos, and our team hopes that teams at ATL won't rely on the OPR greatly for scouting, as it may negatively influence their decisions for alliance parings with our team, as well as many others. once again, thanks!

Guy Davidson 07-04-2008 00:34

Re: Offensive Power Rankings for 2008
 
Of course that many things could skew the nubers. However, the law of large numbers still applies: the more and more samples you take, the more the number you're sampling appraoch its true value. So even if one matches is skewed, the average if your ten matches, or maybe more, will still be close to the expect numbers.

I think relying on any one tool too much to make a decision is a bad idea. Look, for example at what NFL teams do before they draft someone: watch game video, look at game statistics, look at the player during workouts, look at iq tests, personal intrviews, and more. Similarly, the best scouring teams in Atlanta will combine several different measurements and inputs to make their lists. I imagine they will go around talking to teams and getting an impression of their strategy, gameplanning, and experience. I bet they will have people recording matches and looking at what each team does, driver skill, performance, etc. I would guess they also watch some teams' recorded matches, especially from eliminations, to see how those teams fair when it's make-it or break-it time. A combination of these different tools is what will probably lead the eventual winning alliance captain to compile its alliance.

DRH2o 07-04-2008 08:54

Re: Offensive Power Rankings for 2008
 
Off subject a little--Is there a csv with all the teams and their addresses that I can get my hands on. I would love for my Geospatial Tech class to use the opr data and do some geocoding to look at trends.

Tom Bottiglieri 07-04-2008 09:10

Re: Offensive Power Rankings for 2008
 
Can someone post CT?

DRH2o 07-04-2008 09:15

Re: Offensive Power Rankings for 2008
 
I would like to see VCU

Bongle 07-04-2008 09:30

Re: Offensive Power Rankings for 2008
 
1 Attachment(s)
Here is every single regional. The ordering isn't sorted. The files are just txt files with funny names, just rename the .out extension.

Quote:

Off subject a little--Is there a csv with all the teams and their addresses that I can get my hands on. I would love for my Geospatial Tech class to use the opr data and do some geocoding to look at trends.
You can get their cities pretty easily off of usfirst.org, but I don't know about addresses.

petek 07-04-2008 10:54

Re: Offensive Power Rankings for 2008
 
From the "throw a monkey wrench and see what happens dept.":
Has anyone looked to see how much effect surrogate matches have on these rankings? If the number of matches per team determines the matrix size, is the calculation looking to see how many matches a given team actually played? For example, in Philly all teams played 11 matches, but 304 and 381 each played 12: 11 plus one extra surrogate match.

For those not familiar, surrogates are called for to "fill out" the schedule when the number of teams x the number of matches / 6 is not a whole number. Without surrogates there would be some matches with un-filled robot positions. Surrogate match results are not counted in FIRST's ranking scores, and are identified by a "1" next to the team # in the qualifying schedule. This year it is always the third match for a surrogate team.

Travis Hoffman 07-04-2008 13:24

Re: Offensive Power Rankings for 2008
 
Quote:

Originally Posted by Guy Davidson (Post 731839)
I think relying on any one tool too much to make a decision is a bad idea. Look, for example at what NFL teams do before they draft someone: watch game video, look at game statistics, look at the player during workouts, look at iq tests, personal intrviews, and more. Similarly, the best scouring teams in Atlanta will combine several different measurements and inputs to make their lists. I imagine they will go around talking to teams and getting an impression of their strategy, gameplanning, and experience. I bet they will have people recording matches and looking at what each team does, driver skill, performance, etc. I would guess they also watch some teams' recorded matches, especially from eliminations, to see how those teams fair when it's make-it or break-it time. A combination of these different tools is what will probably lead the eventual winning alliance captain to compile its alliance.

Another thing OPR can't predict is the effect installing any robot upgrades will have on a team's performance at the Championship. Only effective scouting can identify such teams who make any significant changes to their bots in Atlanta which improve their overall scoring output.

XaulZan11 07-04-2008 13:43

Re: Offensive Power Rankings for 2008
 
To build on what others have said about the shortcommings of the OPR, watching the actual matches is a ton better than just looking at the OPR. The OPR attempts to predict how well a team scores per match, and is just decent at it. Relying on only the OPR is like a weatherman predicting the weather simply looking at on the month's average weather, instead of actually looking at the weather patterns, air pressure and all the other stuff weather people look at when making the forcast. By looking at the averages I'll know tommorrow it will be fairly warm, but won't tell me if I should bring a jacket, umbrella or sunglasses. OPR is nice because it gives a rough or general idea about a team very quickly and easily, but to get a good idea about a team, you need to actually watch thier matches.

I would use it only in prescouting where there is no matchs online of the team. In this situation it is better than no information at all.

EDIT: One of the shortcommings is that the OPR attempts to predict something that can be found--the team's contribution to thier alliance--by watching the team's matches. It is nice that is very easy to find, but its not like it is predicting something that we cannot find.

Joe Ross 07-04-2008 14:26

Re: Offensive Power Rankings for 2008
 
Quote:

Originally Posted by XaulZan11 (Post 731729)
Like 171/2194, 1732 recorded the amount of points a team scored per match at Wisconsin. We kept track of lines and balls knocked down in hybrid, laps, hurdlers, herds and balls placed at the end.

I ran a correlation test to see how related the two sets of data are and see how good the OPR is at predicting how many points a team scores per match. There are some assumptions/problems. First, our scouting data isn't perfect so there is some error from that. Secondly, our scouting data doesn't include penalties, but the ORP does account for them. So, when doing a linear regression, I got an R value of .7841 and an R-squared value of .6149. (A perfect relationship would have an R value of -1 or 1 and no relationship would be 0). So, while it is not pefect (not surprising) the ORP is a fairly good predictor of a team's preformance.

I did the same with 330's scouting data for San Diego and LA. We do account for penalties.

For SD, the R value was .8852 and R-squared of .7836
For LA, the R value was .8490 and R-squared of .7200

When I removed penalties from the equation, the SD R value fell to .8620 and the LA R value fell to .8345

Greg Marra 07-04-2008 15:32

Re: Offensive Power Rankings for 2008
 
Quote:

Originally Posted by DRH2o (Post 731945)
Off subject a little--Is there a csv with all the teams and their addresses that I can get my hands on. I would love for my Geospatial Tech class to use the opr data and do some geocoding to look at trends.

http://www.thebluealliance.net/cdvid...4_07_teams.csv

Full DB dump of the interesting bits. Enjoy!

Madison 07-04-2008 15:38

Re: Offensive Power Rankings for 2008
 
Quote:

Originally Posted by XaulZan11 (Post 732096)
To build on what others have said about the shortcommings of the OPR, watching the actual matches is a ton better than just looking at the OPR. The OPR attempts to predict how well a team scores per match, and is just decent at it. Relying on only the OPR is like a weatherman predicting the weather simply looking at on the month's average weather, instead of actually looking at the weather patterns, air pressure and all the other stuff weather people look at when making the forcast. By looking at the averages I'll know tommorrow it will be fairly warm, but won't tell me if I should bring a jacket, umbrella or sunglasses. OPR is nice because it gives a rough or general idea about a team very quickly and easily, but to get a good idea about a team, you need to actually watch thier matches.

I would use it only in prescouting where there is no matchs online of the team. In this situation it is better than no information at all.

EDIT: One of the shortcommings is that the OPR attempts to predict something that can be found--the team's contribution to thier alliance--by watching the team's matches. It is nice that is very easy to find, but its not like it is predicting something that we cannot find.

Teams may interpret "scoring" differently in their scouting systems. If Team A cannot hurdle, but can place the ball on the overpass and Team B cannot place the ball, but can knock it down, together they can hurdle. Individually, their contributions, however, would not indicate that possibility and would reflect only points scored by receiving a bonus at the end of the match or by knocking balls down in hybrid mode.

fuzzy1718 07-04-2008 15:46

Re: Offensive Power Rankings for 2008
 
A little off topic, but how did our team drop points, when we havn't played a regional? From 37.472 to 32.54432471???:ahh: :confused: Our last regional was GLR ??????

Alan Anderson 07-04-2008 16:00

Re: Offensive Power Rankings for 2008
 
Quote:

Originally Posted by fuzzy1718 (Post 732176)
A little off topic, but how did our team drop points, when we havn't played a regional?

Do you understand the math behind the rankings? Your apparent drop can be explained easily if some of the teams you played with scored more points in later regionals. The algorithm doesn't account for different strengths at different times for the same team. It would tend to overcount an improving team's contribution to earlier matches, and thus undercount its partners' contribution.

MasterChief 573 07-04-2008 19:01

Re: Offensive Power Rankings for 2008
 
Quote:

Originally Posted by fuzzy1718 (Post 732176)
A little off topic, but how did our team drop points, when we havn't played a regional? From 37.472 to 32.54432471???:ahh: :confused: Our last regional was GLR ??????

Same thing happened to us too, that happens if you performed better at a previous regional as opposed to your last one.

Bongle 07-04-2008 20:02

Re: Offensive Power Rankings for 2008
 
4 Attachment(s)
Someone (don't know if he wants to be revealed) via PM requested the algorithm I've been using, which meant I had to clean my code, which means I'm not as embarrassed to post it.

So here it is:
Code:

// opr.cpp : Defines the entry point for the console application.
//

#include "stdafx.h" // if you're not using visual studio, you'll probably have to toast this line

#include <fstream>
#include <iostream>
#include <vector>
#include <set>
#include <map>
#include "jama/jama_lu.h"

using namespace std;

struct Match
{
        Match()
        {
                memset(this,0,sizeof(Match));
        }
        int blue[3];
        int red[3];
        int blueScore;
        int redScore;
};

// reads all the match data from files copy/pasted from usfirst.org into a list of Match structures
// note that week 1, 2008 files can't be read unmodified by this function
// what I've been doing is pre-processing them doing a find-replace on AM and PM and adding " X " so that they have the right number of tab-seperated values
void ReadTeamData(string strFile,vector<Match>& lstMatches,set<int>& setTeams)
{
        ifstream inFile;
        inFile.open(strFile.c_str());
       
        if(inFile.fail())
        {
                cout<<"Error opening file"<<endl;
                return;
        }

        //int iTheoryMatchNum = 0;
        while(!inFile.eof())
        {
                char buf[512];
                Match aNewMatch;

                inFile>>buf; // "9:20"
                inFile>>buf; // "AM/PM"
                inFile>>buf; // match number

               
                inFile>>buf; // red 1               
                aNewMatch.red[0] = atoi(buf);
                inFile>>buf; // red 2
                aNewMatch.red[1] = atoi(buf);
                inFile>>buf; // red 3
                aNewMatch.red[2] = atoi(buf);

                inFile>>buf; // blue 1
                aNewMatch.blue[0] = atoi(buf);
                inFile>>buf; // blue 2
                aNewMatch.blue[1] = atoi(buf);
                inFile>>buf; // blue 3
                aNewMatch.blue[2] = atoi(buf);

               

                inFile>>buf;
                aNewMatch.redScore = atoi(buf);
                inFile>>buf;
                aNewMatch.blueScore = atoi(buf);

                if(aNewMatch.redScore < 0 || aNewMatch.redScore > 168 || aNewMatch.blueScore < 0 || aNewMatch.blueScore > 168)
                {
                        cout<<"Warning.  Score of "<<aNewMatch.redScore<<" or of "<<aNewMatch.blueScore<<" is unexpectedly large or small.  The input file may be badly formatted"<<endl;
                }
                if(!setTeams.count(aNewMatch.red[0])) setTeams.insert(aNewMatch.red[0]);
                if(!setTeams.count(aNewMatch.red[1])) setTeams.insert(aNewMatch.red[1]);
                if(!setTeams.count(aNewMatch.red[2])) setTeams.insert(aNewMatch.red[2]);
                if(!setTeams.count(aNewMatch.blue[0])) setTeams.insert(aNewMatch.blue[0]);
                if(!setTeams.count(aNewMatch.blue[1])) setTeams.insert(aNewMatch.blue[1]);
                if(!setTeams.count(aNewMatch.blue[2])) setTeams.insert(aNewMatch.blue[2]);
               
                lstMatches.push_back(aNewMatch);
               
        }
}
// generates a mapping from team #s to row#s and the reverse
void GenerateTeamToRow(const set<int> setTeams,map<int,int>& mapTeamToRow,map<int,int>& mapRowToTeam)
{
        int iCounter = 0;
        for(set<int>::const_iterator i = setTeams.begin();i != setTeams.end();i++)
        {
                mapTeamToRow[*i] = iCounter;
                mapRowToTeam[iCounter] = *i;
                iCounter++;
        }
}
// increments the symmetric points in a matrix to indicate that a pair of teams played with each other
void IncMatrix(TNT::Array2D<double>& M,map<int,int> mapTeamToRow,int iTeam1,int iTeam2)
{
        int iRow1 = mapTeamToRow[iTeam1];
        int iRow2 = mapTeamToRow[iTeam2];

        M[iRow1][iRow2]++;
        if(iRow1 != iRow2)
        {
                M[iRow2][iRow1]++;
        }

}
// increments each team's score for all members of an alliance
void IncScore(TNT::Array1D<double>& S,map<int,int> mapTeamToRow,int aTeams[3],int iScore)
{
        for(int x = 0;x < 3;x++)
        {               
                int iRow = mapTeamToRow[aTeams[x]];
                S[iRow] += iScore;
        }
}
// generates our M and S data.  M is an NxN matrix where each cell(i,j) represents how many times team i played with team j
void GenerateBasicMatrix(const vector<Match>& lstMatches,const map<int,int> mapTeamToRow,TNT::Array2D<double>& M,TNT::Array1D<double>& S)
{
        // assertion: M should be fully zeroed at this point
        for(int x = 0;x < lstMatches.size();x++)
        {
                Match m = lstMatches[x];
               
                IncMatrix(M,mapTeamToRow,m.red[0],m.red[0]);
                IncMatrix(M,mapTeamToRow,m.red[1],m.red[1]);
                IncMatrix(M,mapTeamToRow,m.red[2],m.red[2]);

                IncMatrix(M,mapTeamToRow,m.red[0],m.red[1]);
                IncMatrix(M,mapTeamToRow,m.red[0],m.red[2]);
                IncMatrix(M,mapTeamToRow,m.red[1],m.red[2]);


                IncMatrix(M,mapTeamToRow,m.blue[0],m.blue[0]);
                IncMatrix(M,mapTeamToRow,m.blue[1],m.blue[1]); // teams play with themselves too!
                IncMatrix(M,mapTeamToRow,m.blue[2],m.blue[2]);

                IncMatrix(M,mapTeamToRow,m.blue[0],m.blue[1]);
                IncMatrix(M,mapTeamToRow,m.blue[0],m.blue[2]);
                IncMatrix(M,mapTeamToRow,m.blue[1],m.blue[2]);

                IncScore(S,mapTeamToRow,m.red,m.redScore);
                IncScore(S,mapTeamToRow,m.blue,m.blueScore);
        }
       
}
// zeroes out M
void InitMatrix(TNT::Array2D<double>& M)
{
        for(int x = 0;x < M.dim1();x++)
        {
                for(int y = 0;y < M.dim2();y++)
                {
                        M[x][y] = 0;
                }
        }
}
// zeroes out S
void InitS(TNT::Array1D<double>& S)
{
        for(int x = 0;x < S.dim1();x++)
        {
                S[x] = 0;
        }
}
// loads all the teams going to championships
void LoadCMPTeams(string strFile,set<int>& lstTeams)
{
        ifstream inF;
        inF.open(strFile.c_str());

        if(inF.fail())
        {
                cerr<<"Failure at opening "<<strFile<<endl;
        }
        while(!inF.eof())
        {
                int iTeam;
                inF>>iTeam;               
                lstTeams.insert(iTeam);
        }
       
}
// reads in the list of regional files that we need to process
void ReadFileList(string strInput,vector <string>& lstFiles)
{
        ifstream inF;
        inF.open(strInput.c_str());
        while(!inF.eof())
        {
                string str;
                inF>>str;
                lstFiles.push_back(str);
        }
}
// writes the power ratings to <strFile>.out
void WritePowerRatings(string strFile,map<int,int> mapRowToTeam,Array1D<double> PowerRatings)
{
        ofstream outF;
        string strOutFile = strFile + ".out";
        outF.open(strOutFile.c_str());

        for(int x = 0;x < PowerRatings.dim();x++)
        {
                int iTeam = mapRowToTeam[x];
                outF<<iTeam<<"\t"<<PowerRatings[x]<<endl;
        }
        outF.close();
}
int main(int argc, char* argv[])
{
        if(argc != 2)
        {
                cout<<"Wrong number of arguments for scripted running, defaulting to using reglist.txt"<<endl;
                argv[1] = "reglist.txt";
        }
       
        vector <string> lstFiles; // all the regional text files to process
        map<int,double> mapTeamToTopScore;
        map<int,double> mapTeamToLastScore;
        map<int,string> mapTeamToBestReg;
        map<int,string> mapTeamToLastReg;
        map<int,bool> mapTeamToBestSet;
        map<int,int> mapTeamToRegCount;
       
        set<int> setAllTeams; // all teams
        set <int> lstChamps; // teams going to champs
        ReadFileList(argv[1],lstFiles);

        LoadCMPTeams("c:\\cmpTeams.txt",lstChamps); // list of teams going to championships.  If this vector has more than zero entries, then we only print out data for teams going to champs

        for(int x = 0;x < lstFiles.size();x++)
        {               
                set<int> setTeams;               
                map<int,int> mapTeamToRow;
                map<int,int> mapRowToTeam;
               
                vector<Match > lstMatches;
               
                string strFile;               
                strFile = lstFiles[x];
               
                ReadTeamData(strFile,lstMatches,setTeams);                                        // reads match data
               
                GenerateTeamToRow(setTeams,mapTeamToRow,mapRowToTeam);                // maps each team to a number between 0 and N-1
                               
                TNT::Array2D<double> M(setTeams.size(),setTeams.size());        // M
                TNT::Array1D<double> S(setTeams.size());                                        // S

                InitMatrix(M);
                InitS(S);

                GenerateBasicMatrix(lstMatches,mapTeamToRow,M,S); // makes M from the match list data               

                JAMA::LU<double> aMatrixSolver(M);
                Array1D<double> PowerRatings = aMatrixSolver.solve(S); // solves MO = S.  PowerRatings = solved O

           
                WritePowerRatings(strFile,mapRowToTeam,PowerRatings); // writes the output for this regional to <strFile>.out

                // records a team's last and best power ratings
                for(int x = 0;x < PowerRatings.dim();x++)
                {
                        if(lstChamps.size() == 0 || lstChamps.count(mapRowToTeam[x]))
                        {
                               
                                double dPwr = PowerRatings[x];
                                int iTeam = mapRowToTeam[x];
                                if(setAllTeams.count(iTeam) == 0) // if this team hasn't made it into our list of all teams, add it
                                {                                       
                                        setAllTeams.insert(iTeam);
                                }
                                mapTeamToRegCount[iTeam]++;
                                if(dPwr > mapTeamToTopScore[iTeam] || mapTeamToBestSet[iTeam] == false)
                                {
                                        mapTeamToTopScore[iTeam] = dPwr;
                                        mapTeamToBestReg[iTeam] = strFile;
                                        mapTeamToBestSet[iTeam]  =true;
                                }
                                mapTeamToLastScore[iTeam] = dPwr;
                                mapTeamToLastReg[iTeam] = strFile;
                        }
                }
        } // end of file loop
       
        // this prints out a team's last OPR and where it occurred.  If a team's best OPR occurred elsewhere, it prints that out
        cout<<"Team\tRegional Count\tLast OPR\tLast Regional\tBest OPR\tBest Regional"<<endl;
        for(set<int>::iterator i = setAllTeams.begin();i != setAllTeams.end();i++)
        {
                int iTeam = *i;

                cout<<iTeam<<"\t"<<mapTeamToRegCount[iTeam]<<"\t"<<mapTeamToLastScore[iTeam]<<"\t"<<mapTeamToLastReg[iTeam];
               
                cout<<"\t"<<mapTeamToTopScore[iTeam]<<"\t"<<mapTeamToBestReg[iTeam];                       
               
                cout<<endl;
        }

        return 0;
}

Required files:
-Reglist.txt - a list of regional data to be processed. One file per line. Note that it will output a file for each file in this list, and that will be the OPR for that regional
-cmpteams.txt - A list of teams that you're interested in (for example, a list of teams going to championships). One team per line.
-the JAMA math library (see attached file). This is from the NIST, it should be ok to redistribute. You can get the actual file here: http://math.nist.gov/tnt/download.html

------------
Licensing: None, do whatever you want with it. Feel free to give me credit or something though (but you don't have to, if it'd cramp your style).

Greg Marra 08-04-2008 00:45

Re: Offensive Power Rankings for 2008
 
http://www.thebluealliance.net/cdvid...08_matches.csv

Match dump including New York City regional. Includes column with event name and event week. Provides column with competition level (to filter out elims, if you want) and match number (probably not useful). Filters out matches with incomplete information.

Guy Davidson 08-04-2008 02:49

Re: Offensive Power Rankings for 2008
 
1 Attachment(s)
With Greg's new dump, I'm proud to present: my complete OPR rankings. These include every match in the TBA system, including eliminations, broken down as follows: one sheet overall, one sheet for each week, two combined sheets (combining the weekly and overall rankings): one normal, and one with repeats in the top 50 or so color labeled.

Note: the following includes teams' overall performances as well as their weekly ones. If you wish to disregard the overall ones, subtract one from all numbers :P

1114 have the top 3 and 4 out of the top 10 performances overall. 233 have 2 out of the top 10, as do 2056. 330, 987, and 2056 also all have 3 in the top 20, with 39 having 2. Other notable repeats include 217 (3 performances in the 21-42 range), 67 (same), 525 (same), 1124 (2 in 21-41), 40 (same), 1625 (2 in top 50), 103 (same, including the 13th best).

Here are the top 50 performances, be them weekly or overall:
Code:

1114        78.07555206        5
1114        71.72841092        4
1114        66.08610526        All
233        54.83482914        5
2056        54.18143261        All
40        52.36761871        5
39        52.02981858        5
233        51.19444477        All
2056        50.85653031        5
1114        49.80987076        1
330        49.67085518        4
987        49.49921146        2
103        49.17875705        5
330        48.61508348        All
987        48.54535978        5
987        48.4036174        All
2056        48.14940049        4
39        48.05951704        All
330        47.6733788        2
525        47.50920616        5
217        47.21258553        3
79        46.85564663        3
1731        46.67751354        4
217        46.39477357        5
525        45.53997317        All
254        45.22118025        5
2171        44.91825888        4
1024        44.74816411        4
67        44.18768501        All
175        43.88978378        3
1124        43.87787986        3
27        43.73318232        5
1625        42.9666571        5
1731        42.93375969        All
67        42.26870256        5
217        42.11651285        All
1124        41.9143175        All
1717        41.6884957        4
67        41.29809056        2
25        41.18181687        5
40        40.80843761        All
525        40.68607417        1
1625        40.49393267        3
494        40.49077186        5
103        40.01593827        All
93        39.93271964        5
968        39.86958078        2
233        39.20154265        3
175        39.16106424        All
469        39.06852953        3

Attached in a zip file is my complete excel spreadsheet.

Enjoy :)

rsilverstein 08-04-2008 07:03

Re: Offensive Power Rankings for 2008
 
Great data... you can definitely see an improvement among teams over the weeks.

Travis Hoffman 08-04-2008 14:12

Re: Offensive Power Rankings for 2008
 
Here's a theoretical and completely meaningless divisional breakdown for Championships based solely on Bongle's final OPR's and the current 339-team list (sort all teams by OPR, then go (A, C, G, N), (A, C, G, N), etc.

Even if FIRST went with this off the wall sorting system, the addition of the final few teams would skew the arrangement.

Code:


330  Newton
67  Newton
103  Newton
469  Newton
1024  Newton
368  Newton
1625  Newton
93  Newton
16  Newton
1629  Newton
71  Newton
1156  Newton
45  Newton
703  Newton
1592  Newton
237  Newton
501  Newton
816  Newton
100  Newton
176  Newton
222  Newton
384  Newton
1350  Newton
364  Newton
2165  Newton
316  Newton
1  Newton
1528  Newton
1598  Newton
488  Newton
1756  Newton
2455  Newton
461  Newton
1983  Newton
116  Newton
57  Newton
503  Newton
177  Newton
107  Newton
418  Newton
312  Newton
401  Newton
2483  Newton
801  Newton
2520  Newton
1939  Newton
476  Newton
1023  Newton
499  Newton
1646  Newton
2340  Newton
120  Newton
1143  Newton
1296  Newton
701  Newton
2352  Newton
1594  Newton
302  Newton
2454  Newton
2557  Newton
2591  Newton
207  Newton
1212  Newton
1732  Newton
2237  Newton
2023  Newton
2038  Newton
2556  Newton
2410  Newton
2424  Newton
2575  Newton
1071  Newton
2354  Newton
433  Newton
228  Newton
900  Newton
599  Newton
1599  Newton
1266  Newton
752  Newton
296  Newton
677  Newton
1595  Newton
1795  Newton
233  Galileo
525  Galileo
40  Galileo
20  Galileo
1717  Galileo
968  Galileo
365  Galileo
47  Galileo
1806  Galileo
195  Galileo
27  Galileo
1065  Galileo
1574  Galileo
111  Galileo
357  Galileo
70  Galileo
2337  Galileo
179  Galileo
234  Galileo
2046  Galileo
692  Galileo
358  Galileo
1989  Galileo
2024  Galileo
2604  Galileo
292  Galileo
435  Galileo
2468  Galileo
201  Galileo
932  Galileo
1261  Galileo
1429  Galileo
1388  Galileo
236  Galileo
231  Galileo
1474  Galileo
2624  Galileo
612  Galileo
192  Galileo
2122  Galileo
180  Galileo
2638  Galileo
1902  Galileo
1503  Galileo
1094  Galileo
2518  Galileo
2335  Galileo
2668  Galileo
2344  Galileo
329  Galileo
2377  Galileo
1138  Galileo
2474  Galileo
597  Galileo
1165  Galileo
1014  Galileo
115  Galileo
1013  Galileo
1566  Galileo
1533  Galileo
1366  Galileo
548  Galileo
1323  Galileo
547  Galileo
527  Galileo
462  Galileo
122  Galileo
1868  Galileo
340  Galileo
2053  Galileo
75  Galileo
1254  Galileo
269  Galileo
457  Galileo
1033  Galileo
1398  Galileo
2543  Galileo
1739  Galileo
1577  Galileo
1522  Galileo
922  Galileo
86  Galileo
2621  Galileo
422  Galileo
509  Galileo
2056  Curie
39  Curie
1124  Curie
191  Curie
141  Curie
1126  Curie
2171  Curie
254  Curie
1477  Curie
343  Curie
41  Curie
148  Curie
121  Curie
1662  Curie
768  Curie
1540  Curie
2016  Curie
2062  Curie
341  Curie
2549  Curie
2590  Curie
555  Curie
88  Curie
386  Curie
716  Curie
375  Curie
573  Curie
288  Curie
1319  Curie
1802  Curie
2472  Curie
66  Curie
949  Curie
48  Curie
68  Curie
84  Curie
155  Curie
108  Curie
2081  Curie
65  Curie
271  Curie
1504  Curie
2609  Curie
2550  Curie
812  Curie
686  Curie
1357  Curie
425  Curie
294  Curie
1318  Curie
1699  Curie
2342  Curie
1860  Curie
1245  Curie
1305  Curie
2415  Curie
1108  Curie
1386  Curie
135  Curie
128  Curie
2564  Curie
1747  Curie
8  Curie
2614  Curie
2599  Curie
1538  Curie
587  Curie
1758  Curie
1311  Curie
1834  Curie
159  Curie
1102  Curie
2115  Curie
1941  Curie
1547  Curie
2338  Curie
226  Curie
858  Curie
4  Curie
1523  Curie
303  Curie
2429  Curie
5  Curie
203  Curie
468  Curie
1114  Archimedes
987  Archimedes
217  Archimedes
175  Archimedes
79  Archimedes
1086  Archimedes
494  Archimedes
25  Archimedes
1251  Archimedes
33  Archimedes
1418  Archimedes
171  Archimedes
126  Archimedes
1218  Archimedes
326  Archimedes
118  Archimedes
337  Archimedes
395  Archimedes
1511  Archimedes
2487  Archimedes
359  Archimedes
291  Archimedes
397  Archimedes
694  Archimedes
1736  Archimedes
1649  Archimedes
1279  Archimedes
1746  Archimedes
1987  Archimedes
1690  Archimedes
894  Archimedes
1089  Archimedes
138  Archimedes
223  Archimedes
2214  Archimedes
842  Archimedes
1816  Archimedes
1025  Archimedes
60  Archimedes
11  Archimedes
830  Archimedes
1450  Archimedes
134  Archimedes
2449  Archimedes
102  Archimedes
85  Archimedes
980  Archimedes
2630  Archimedes
832  Archimedes
486  Archimedes
2166  Archimedes
2048  Archimedes
2437  Archimedes
440  Archimedes
1714  Archimedes
173  Archimedes
1038  Archimedes
1676  Archimedes
190  Archimedes
903  Archimedes
1727  Archimedes
1379  Archimedes
614  Archimedes
1885  Archimedes
399  Archimedes
49  Archimedes
322  Archimedes
2423  Archimedes
610  Archimedes
2430  Archimedes
178  Archimedes
224  Archimedes
1502  Archimedes
839  Archimedes
1127  Archimedes
967  Archimedes
87  Archimedes
2629  Archimedes
151  Archimedes
714  Archimedes
241  Archimedes
604  Archimedes
2041  Archimedes
868  Archimedes
1576  Archimedes


Jacob Plicque 08-04-2008 16:47

Re: Offensive Power Rankings for 2008
 
Quote:

Originally Posted by AndyB (Post 731699)
Well, the head ref records penatlies for each robot during the match on a sheet, but you never see it unless you go to the "Contest the score" box.

My data comes from Lines Crossed in Hybrid, Balls Removed in Hybrid, Laps, Herds, Hurdles, and Balls Placed at the End.

Is the "contest the score box" online data?

Bongle 09-04-2008 15:41

Re: Offensive Power Rankings for 2008
 
By anticipated popular demand, OPRs by division.
Column order is
Team#, # of regionals, last OPR, last regional, best OPR, best regional

Stats that I found interesting:
Code:

Total OPR:
Galileo:        1707
Archimedes:        1622
Curie:                1521
Newton:        1514

OPR of top 24:
Galileo:        892 (figures, with 1114 in there)
Newton:        851
Curie:                806
Archimedes:        798

% of total OPR that the top 24 take up (a measure of depth, I suppose)
Archimedes:        49.2%
Galileo:        52.2%
Curie:                52.9%
Newton:        56.2%

Archimedes
Code:

987        2        49.3643        lv        53.1822        sd
1024        3        49.0029        buck        49.0029        buck
1124        1        47.9453        ct        47.9453        ct
525        2        46.4897        mn        46.4897        mn
27        2        41.5673        glr        41.5673        glr
93        2        40.3215        mn        40.3215        mn
365        2        37.1666        phil        37.1666        phil
1218        1        35.6348        ches        35.6348        ches
357        2        34.7581        phil        34.7581        phil
71        2        34.647        wm        34.647        wm
337        2        33.5239        hi        33.5239        hi
41        2        31.2988        ny        31.2988        ny
1065        1        30.4807        fl        30.4807        fl
201        2        29.9324        glr        29.9324        glr
2024        2        27.7007        hi        27.7007        hi
1        2        27.6828        det        27.6828        det
1598        1        27.0323        vcu        27.0323        vcu
116        2        26.4095        ny        26.4095        ny
555        4        26.0896        ny        28.6788        bay
1261        2        25.5961        palm        25.5961        palm
1690        1        24.8488        is        24.8488        is
2166        2        24.0923        gtr        24.0923        gtr
2550        1        23.621        or        23.621        or
842        3        23.3982        lv        23.3982        lv
292        2        23.0619        boil        23.0619        boil
11        2        22.9507        ches        22.9507        ches
222        1        22.724        pitts        22.724        pitts
816        2        22.6902        phil        29.4389        nj
386        2        22.5882        palm        22.5882        palm
107        2        21.8664        glr        21.8664        glr
1987        1        21.4701        mn        21.4701        mn
1504        2        21.4204        wm        21.4204        wm
85        2        21.2389        wm        21.2389        wm
2081        2        20.6428        boil        20.6428        boil
1094        1        20.5252        stl        20.5252        stl
171        1        20.006        wi        20.006        wi
66        2        20.0018        glr        20.0018        glr
614        1        18.7356        ches        18.7356        ches
2048        2        18.6977        buck        18.6977        buck
1746        2        18.6837        palm        18.6837        palm
401        1        18.6136        vcu        18.6136        vcu
1528        1        18.5772        det        18.5772        det
2377        1        18.2489        ches        18.2489        ches
190        2        18.0702        svr        18.0702        svr
499        2        17.6879        bay        17.6879        bay
1727        2        17.5064        phil        17.5064        phil
2472        1        16.8751        mn        16.8751        mn
2335        1        16.7533        gkr        16.7533        gkr
1323        2        16.5556        davis        16.5556        davis
1305        2        15.8986        gtr        15.8986        gtr
177        1        15.4353        ct        15.4353        ct
1834        2        14.9705        hi        14.9705        hi
2668        1        14.4941        phil        14.4941        phil
2624        1        13.4544        gtr        13.4544        gtr
949        1        13.3528        seat        13.3528        seat
1547        2        12.9788        gtr        12.9788        gtr
236        1        12.5966        ct        12.5966        ct
2449        1        12.261        ar        12.261        ar
1143        1        11.9864        phil        11.9864        phil
476        2        11.8943        ok        12.9425        gkr
2518        1        11.743        mn        11.743        mn
1646        2        11.4519        glr        11.4519        glr
1474        1        10.7638        bos        10.7638        bos
2342        1        10.522        bae        10.522        bae
599        2        10.2908        la        10.2908        la
1902        2        10.2798        bay        21.5419        fl
135        2        10.1138        boil        14.1674        stl
2604        1        9.16108        wm        9.16108        wm
1379        2        9.08873        bay        11.5536        peach
2575        1        9.08777        br        9.08777        br
701        2        8.54408        davis        15.0851        sd
1398        2        8.26199        palm        8.26199        palm
122        1        7.81042        vcu        7.81042        vcu
49        2        7.79258        bay        9.5169        det
303        1        7.528        nj        7.528        nj
2424        1        6.33004        ok        6.33004        ok
228        1        6.02626        ct        6.02626        ct
151        1        4.74671        bae        4.74671        bae
269        1        4.51404        wi        4.51404        wi
752        1        3.66353        nj        3.66353        nj
322        1        3.07761        glr        3.07761        glr
433        1        3.01739        phil        3.01739        phil
1577        1        2.92397        is        2.92397        is
900        2        2.86289        palm        4.02724        vcu
1795        1        0.12213        peach        0.12213        peach
461        2        -0.978711        glr        14.5376        boil

Curie
Code:

1126        2        42.8778        buck        42.8778        buck
2171        2        42.5333        wm        42.5333        wm
67        2        40.5394        glr        43.2951        flr
368        2        39.5571        hi        39.5571        hi
33        3        38.5823        glr        38.5823        glr
395        2        38.4891        ny        38.4891        ny
16        2        38.313        bay        38.313        bay
100        2        37.5837        svr        37.5837        svr
2337        2        37.2119        wm        37.2119        wm
126        2        37.134        ct        37.134        ct
191        2        35.8837        buck        39.0776        flr
1511        2        35.0501        phil        35.0501        phil
1477        2        34.4194        bay        34.4194        bay
358        2        33.2138        spbli        33.2138        spbli
703        2        33.0321        gtr        33.0321        gtr
237        2        31.8253        phil        31.8253        phil
326        2        31.1764        glr        31.1764        glr
501        2        31.0184        lone        31.0184        lone
768        2        30.8543        ches        30.8543        ches
1592        2        30.3363        co        30.3363        co
2590        1        27.1592        nj        27.1592        nj
45        2        27.1463        boil        27.1463        boil
1418        1        26.2306        ches        26.2306        ches
435        1        24.7734        vcu        24.7734        vcu
1649        1        24.1985        fl        24.1985        fl
2344        2        21.8188        ny        21.8188        ny
1350        1        21.6921        bos        21.6921        bos
294        2        21.0882        la        21.0882        la
57        2        20.7083        lone        20.7083        lone
573        2        20.1932        glr        21.5527        pitts
231        1        19.3323        lone        19.3323        lone
223        1        18.6501        nj        18.6501        nj
108        2        18.3036        fl        18.3036        fl
2609        1        18.099        wat        18.099        wat
903        2        18.0734        wm        18.0734        wm
1732        2        17.8759        glr        17.8759        glr
1747        2        17.6147        glr        17.6147        glr
155        1        16.9729        bos        16.9729        bos
486        2        16.6277        phil        16.6277        phil
1386        1        16.4528        buck        16.4528        buck
173        2        15.9452        bos        15.9452        bos
118        2        15.3893        bay        31.3232        lone
2520        1        15.2241        lv        15.2241        lv
138        1        15.0914        bae        15.0914        bae
1989        1        15.0827        ny        15.0827        ny
75        2        14.9254        ches        14.9254        ches
178        1        14.5708        ct        14.5708        ct
1802        1        13.9393        gkr        13.9393        gkr
418        1        13.6205        lone        13.6205        lone
1025        1        13.46        det        13.46        det
271        2        13.4145        ny        13.4145        ny
2474        1        13.1963        boil        13.1963        boil
1013        2        13.1038        lv        13.1038        lv
1699        1        12.7678        bos        12.7678        bos
2053        1        12.629        flr        12.629        flr
1860        1        12.5214        br        12.5214        br
340        1        12.2471        flr        12.2471        flr
1939        1        12.1341        gkr        12.1341        gkr
1566        1        12.0738        sd        12.0738        sd
967        1        11.7833        stl        11.7833        stl
1245        1        11.1402        co        11.1402        co
527        1        10.6705        spbli        10.6705        spbli
2410        2        10.5735        gkr        10.5735        gkr
2556        1        10.5214        bay        10.5214        bay
462        1        10.4146        bay        10.4146        bay
304        1        10.1755        phil        10.1755        phil
1311        1        10.0732        peach        10.0732        peach
1533        1        9.89596        peach        9.89596        peach
2038        1        9.09497        peach        9.09497        peach
86        1        8.56691        fl        8.56691        fl
1102        2        8.01401        palm        8.01401        palm
830        2        7.30086        glr        14.877        stl
2115        1        6.9709        mw        6.9709        mw
1156        1        6.54232        br        6.54232        br
858        1        6.19068        wm        6.19068        wm
1071        1        5.97234        ct        5.97234        ct
1266        2        5.88688        lv        5.88688        lv
2629        1        5.77631        svr        5.77631        svr
1599        1        3.42647        vcu        3.42647        vcu
2454        1        3.33634        hi        3.33634        hi
4        2        2.8721        lv        2.8721        lv
604        1        1.99006        svr        1.99006        svr
2429        1        0.38431        la        0.38431        la
203        1        -1.3286        ches        -1.3286        ches
677        1        -5.87753        bos        -5.87753        bos

Galileo
Code:

1114        3        85.1523        gtr        85.1523        gtr
103        3        55.0129        phil        55.0129        phil
217        3        50.7032        glr        50.7032        glr
40        2        49.7452        bos        49.7452        bos
330        2        46.3083        la        51.5438        sd
254        2        44.5277        hi        44.5277        hi
494        3        42.5188        glr        42.5188        glr
25        2        42.1758        hi        42.1758        hi
1717        2        38.8717        la        38.8717        la
121        1        36.7586        bae        36.7586        bae
1629        2        35.6228        buck        35.6228        buck
234        2        34.9821        wm        34.9821        wm
469        2        34.469        glr        36.1295        det
343        2        29.7443        palm        29.7443        palm
65        2        29.6645        glr        29.6645        glr
176        2        28.9639        gtr        28.9639        gtr
195        1        28.8298        ct        28.8298        ct
1540        2        28.4674        lv        28.9083        or
88        2        28.0692        bos        28.0692        bos
291        2        24.9495        glr        24.9495        glr
1450        1        24.3531        flr        24.3531        flr
2468        1        24.1073        lone        24.1073        lone
70        3        24.0254        glr        27.176        stl
2062        2        24.019        wi        24.019        wi
716        1        23.9309        ct        23.9309        ct
1503        2        23.5493        gtr        23.5493        gtr
1816        2        22.8742        mn        22.8742        mn
932        2        22.6811        ok        22.6811        ok
48        3        22.5494        buck        22.5494        buck
384        1        22.352        vcu        22.352        vcu
694        2        22.2311        ny        22.2311        ny
148        2        22.1501        bay        32.2765        stl
1089        2        22.0812        ct        22.0812        ct
316        2        20.0927        phil        20.0927        phil
548        2        20.0728        glr        20.0728        glr
2165        1        20.0665        ok        20.0665        ok
1676        2        19.7986        gtr        19.7986        gtr
364        1        19.3686        bay        19.3686        bay
84        2        19.2057        phil        19.2057        phil
1366        1        19.0103        nj        19.0103        nj
134        2        18.5866        ches        18.5866        ches
1023        1        18.233        glr        18.233        glr
2487        1        17.9854        spbli        17.9854        spbli
180        1        17.4385        fl        17.4385        fl
812        1        17.435        sd        17.435        sd
2237        2        16.7312        palm        16.7312        palm
2638        1        16.7157        spbli        16.7157        spbli
425        1        16.4547        fl        16.4547        fl
2340        1        16.3891        flr        16.3891        flr
894        1        16.1329        glr        16.1329        glr
1319        2        16.0827        palm        16.0827        palm
2046        2        15.6193        seat        29.4435        or
2549        1        15.4527        wi        15.4527        wi
2564        1        14.6666        fl        14.6666        fl
980        2        14.3034        la        14.3034        la
612        2        13.5524        buck        15.1939        vcu
1038        1        13.3602        mw        13.3602        mw
1983        2        13.2864        seat        20.1201        or
8        3        13.101        lv        13.101        lv
302        2        12.9585        wm        12.9585        wm
457        1        12.2723        fl        12.2723        fl
1739        2        11.8769        wi        11.8769        wi
1758        2        11.297        palm        11.297        palm
597        2        11.2872        hi        14.4516        sd
2599        1        11.2497        sd        11.2497        sd
2023        1        11.1125        fl        11.1125        fl
2437        2        9.80826        hi        13.5781        wi
399        2        9.67775        la        11.861        sd
1296        1        9.23699        co        9.23699        co
1212        1        9.22365        ar        9.22365        ar
1138        2        8.48742        hi        12.1488        sd
2423        1        8.05239        bos        8.05239        bos
1390        1        7.99435        fl        7.99435        fl
226        2        7.03603        glr        7.03603        glr
1885        2        6.41505        phil        10.7223        vcu
168        1        5.60546        fl        5.60546        fl
2354        1        4.46069        ok        4.46069        ok
1254        1        4.39064        wm        4.39064        wm
115        2        4.20432        davis        10.905        svr
839        2        2.64941        bos        7.2402        ct
1523        1        1.93133        fl        1.93133        fl
2621        1        0.116815        ct        0.116815        ct
1576        1        -0.647048        is        -0.647048        is
509        1        -3.26759        bae        -3.26759        bae
1595        1        -5.93147        or        -5.93147        or

Newton
Code:

2056        2        59.334        gtr        59.334        gtr
233        2        55.609        hi        55.609        hi
39        2        52.6717        lv        52.6717        lv
175        2        47.1574        ct        47.1574        ct
1625        3        44.1421        co        49.8168        wi
141        2        42.6529        wm        42.6529        wm
359        3        39.5435        hi        39.5435        hi
1086        1        37.2707        vcu        37.2707        vcu
47        2        36.6663        glr        36.6663        glr
1806        2        35.2555        ok        35.2555        ok
968        2        34.9029        hi        35.1886        sd
20        2        34.6227        bos        40.235        flr
1574        1        34.6153        is        34.6153        is
1251        2        34.1576        palm        36.9569        fl
192        2        31.8033        svr        31.8033        svr
288        2        30.668        wm        30.668        wm
111        2        29.3402        boil        29.3402        boil
692        2        25.7874        davis        25.7874        davis
1736        1        25.5406        wi        25.5406        wi
1279        2        24.6228        bay        24.6228        bay
179        1        24.5431        fl        24.5431        fl
1594        2        23.9915        ny        23.9915        ny
397        2        23.5141        wm        25.7875        det
79        2        23.3832        bay        47.2358        fl
68        3        23.0027        glr        23.0027        glr
1662        1        22.8678        davis        22.8678        davis
1388        2        22.7622        davis        22.7622        davis
488        2        21.8286        seat        21.8286        seat
2122        2        21.7512        davis        21.7512        davis
1318        2        21.288        seat        21.288        seat
801        1        20.9428        fl        20.9428        fl
341        2        20.7585        phil        22.0585        ches
312        1        19.624        fl        19.624        fl
1429        2        18.971        lone        18.971        lone
375        3        18.6259        ny        24.7563        pitts
2214        1        18.4471        is        18.4471        is
1756        1        17.8439        mn        17.8439        mn
102        2        17.3692        spbli        17.3692        spbli
2483        2        16.524        palm        16.524        palm
503        2        16.2864        glr        17.8147        mw
2016        2        16.0195        ches        27.2495        nj
1165        1        14.3534        ar        14.3534        ar
2630        1        13.9012        is        13.9012        is
329        2        13.4912        spbli        13.4912        spbli
2430        1        12.8461        palm        12.8461        palm
2352        1        12.4272        ok        12.4272        ok
1868        1        12.3273        svr        12.3273        svr
587        1        12.3214        vcu        12.3214        vcu
1108        2        11.8804        lone        15.665        gkr
2338        1        11.471        mw        11.471        mw
440        2        11.3609        bay        11.3609        bay
832        2        11.3028        bay        16.531        peach
1714        2        11.249        buck        11.249        buck
2591        1        10.9547        glr        10.9547        glr
207        2        10.853        la        13.9768        ar
224        2        10.8517        ches        10.8517        ches
87        1        10.7999        nj        10.7999        nj
2455        1        10.7198        hi        10.7198        hi
128        1        10.4523        pitts        10.4523        pitts
1357        1        10.2145        co        10.2145        co
60        2        10.1602        lv        22.0938        ar
1014        1        10.022        buck        10.022        buck
2415        1        9.7428        peach        9.7428        peach
159        1        9.40661        co        9.40661        co
610        2        9.13372        gtr        11.0441        sd
2614        1        8.05032        pitts        8.05032        pitts
2543        2        7.97485        co        7.97485        co
868        2        7.82689        boil        7.82689        boil
1127        1        7.30454        peach        7.30454        peach
1033        1        7.02428        vcu        7.02428        vcu
1538        2        6.88265        la        9.84046        sd
547        1        6.79991        peach        6.79991        peach
2041        1        5.87738        mw        5.87738        mw
1522        1        5.56067        vcu        5.56067        vcu
5        1        3.63177        det        3.63177        det
1941        2        2.84981        glr        8.57622        wm
2557        1        0.903917        seat        0.903917        seat
120        2        0.741635        buck        17.8092        pitts
714        1        0.34217        nj        0.34217        nj
1502        2        -0.382598        buck        16.9048        stl
422        1        -0.500982        vcu        -0.500982        vcu
241        1        -0.749577        bae        -0.749577        bae
922        1        -1.32254        lone        -1.32254        lone
296        1        -5.98088        gtr        -5.98088        gtr
468        1        -7.71247        mw        -7.71247        mw


MasterChief 573 09-04-2008 15:46

Re: Offensive Power Rankings for 2008
 
Can we get an OPR for divisions based on overall performance instead of individual regionals?

cziggy343 09-04-2008 15:51

Re: Offensive Power Rankings for 2008
 
does the makes us the 14th highest scoring robot in Galileo (based on our last regional)?

Bongle 09-04-2008 16:02

Re: Offensive Power Rankings for 2008
 
Quote:

does the makes us the 14th highest scoring robot in Galileo (based on our last regional)?
It means that you have the 14th highest OPR :). That is all it means. OPR correlates strongly with scoring ability, but it also correlates with other things such as teamwork (teams that get in the way of their alliance partners would have lower OPRs) and rule-abiding (see those negative numbers? those teams tended to take penalties). Someone who has scouting data on every single team in FIRST might be able to tell you if you're literally the 14th-highest scoring robot in Galileo. However, since I don't think anyone actually has that much data, this is a nice stand-in. It is certainly something to be proud of.

Quote:

Originally Posted by MasterChief 573 (Post 733576)
Can we get an OPR for divisions based on overall performance instead of individual regionals?

Overall OPR: Accuracy is directly proportional to a team's consistency over the course of their regionals.

Code:

DIVISION Archimedes       
987        51.019
525        41.6417
1124        40.8123
1024        39.5312
1218        34.8327
365        31.3377
1065        29.7045
93        29.6847
357        27.7146
41        27.6033
71        27.5385
337        27.4501
27        26.3468
2024        25.8596
1598        25.4333
1690        24.8488
201        24.5064
816        23.9692
2575        23.7964
1261        23.1945
222        23.1573
2550        23.0673
171        21.9414
555        21.2763
66        20.4658
1        20.2903
1746        19.9551
107        19.5672
1987        19.2164
292        19.0851
2377        18.916
386        18.0085
1094        17.371
2624        17.2509
401        16.9756
842        16.9502
116        16.9407
2472        16.7278
2081        16.613
2668        15.8868
1528        15.7027
2335        15.5526
177        15.5282
1504        15.51
85        15.0574
614        15.0475
1902        14.6906
949        13.9314
11        13.7692
2048        13.7644
236        13.5819
1143        13.3837
1305        13.0689
1727        12.8284
701        12.6087
2166        12.1423
499        12.0759
476        12.0487
1474        11.9805
2604        11.8988
1646        11.8752
1323        11.4047
2518        10.8855
2449        10.8716
135        10.7748
461        10.2657
1834        10.076
2342        10.0724
190        9.92706
1379        9.74611
122        9.31586
322        9.06697
49        8.83094
269        7.55734
228        7.43488
1547        6.6488
433        6.43184
2424        6.02979
900        5.22459
599        5.16972
1398        4.73357
303        3.99989
151        3.53961
1577        2.92397
752        -0.5685
1795        -1.06975

Code:

DIVISION Curie       
67        43.4969
191        36.8639
368        35.6446
33        34.8674
1126        34.0836
126        31.7883
1156        30.7684
16        30.4445
2171        29.2048
1477        29.0948
100        28.9546
326        27.8608
1511        27.3043
768        27.016
1649        25.2292
435        25.2239
703        24.9523
2337        24.7343
118        24.5567
1592        24.3233
501        23.7284
45        23.6296
1350        23.041
358        22.9799
573        22.6403
237        22.4558
1418        22.3514
2590        21.7718
395        20.5786
231        20.5403
155        19.6723
1989        18.0971
2520        17.0888
223        16.0801
2609        15.9879
486        15.7825
418        15.6633
173        15.1487
57        14.9705
271        14.7283
2474        14.5278
1386        14.2628
1699        13.8221
1802        13.0795
830        13.028
108        12.9329
1245        12.8222
138        12.4111
1939        12.3322
1311        11.6342
2344        11.4982
1747        11.3411
1566        11.3223
903        11.2957
527        11.2424
1025        11.227
462        11.2191
2053        10.5242
2556        10.4971
304        10.4408
294        10.3778
340        9.8499
1732        9.80434
1533        9.59762
1013        8.82684
2410        8.58155
2115        7.70206
2038        7.54205
967        6.97196
178        6.81536
2454        6.72034
86        6.52571
1102        5.72384
858        5.61987
2629        4.37071
75        3.97127
1860        3.44524
1599        3.19584
1071        2.87368
4        2.78029
1266        2.25798
2429        1.69903
604        0.72305
677        -0.8247
203        -3.1758

Code:

DIVISION Galileo       
1114        68.2768
330        48.6731
103        42.7726
217        39.6146
25        39.2088
40        36.7399
494        35.8872
121        35.6617
469        33.1259
1717        32.6803
254        32.2266
195        29.5645
343        28.5426
1629        28.4807
1540        28.3651
148        26.7634
70        26.6412
88        25.5715
2468        23.6247
234        23.3023
176        22.9377
384        22.7696
1450        22.0209
291        21.7519
65        21.6693
932        21.2843
364        20.9701
316        20.4409
2046        20.357
716        20.1283
2165        20.1283
2062        19.9514
894        19.905
180        19.7554
1503        19.556
1816        19.5513
2487        18.8446
1023        18.4076
1089        17.4138
1983        17.4012
84        17.3274
694        17.1061
48        16.8149
2638        15.5348
2549        15.4257
1319        15.177
2437        15.1399
812        14.7013
612        14.3585
425        13.7583
2340        13.2112
1366        12.7707
597        12.2728
134        12.1221
302        12.0411
548        11.4201
980        11.4169
2237        10.9598
2564        10.8055
1296        10.6061
8        10.5598
1038        10.2052
1676        10.0692
115        10.0361
1138        9.90502
2599        9.57715
399        9.24283
1885        9.05314
2423        8.50531
1254        8.20877
457        7.99797
2023        7.5684
1212        7.44153
1390        7.4258
1758        6.75003
839        6.32888
226        5.2471
2354        4.33936
1739        3.21296
168        0.70237
1523        0.25661
1576        -0.647
1595        -1.6056
2621        -2.1082
509        -5.2435

Code:

DIVISION Newton       
2056        53.8927
233        50.9844
39        44.3005
175        39.5251
141        37.9473
1086        37.4814
20        36.9751
1251        36.8961
968        35.1509
1625        35.0787
79        34.8553
1574        34.6153
47        30.8913
111        28.7166
359        28.2419
1806        28.0158
341        25.2499
692        25.1171
179        24.1943
288        23.0485
1662        22.7656
1736        22.4684
397        22.3247
2016        21.736
192        21.6076
375        21.1323
1388        20.4556
488        19.2197
2214        18.4471
1279        18.3019
68        17.1798
2122        16.8979
60        16.8806
1756        16.8379
503        15.9745
1429        15.5409
801        15.3759
312        15.2619
2455        14.5993
2630        13.9012
832        13.7808
1594        13.4057
2483        13.3354
1108        13.2547
2430        12.9953
1318        12.8126
329        12.127
2352        11.7462
1014        11.6403
207        11.3265
1165        10.8877
587        10.834
102        10.4933
120        10.4564
2591        9.50392
159        9.46525
1538        9.44737
128        9.26673
610        9.26187
1357        9.24339
1868        9.1569
1714        8.83824
2614        8.69098
2415        8.63608
2338        8.5209
1127        8.42351
1502        8.25353
1033        7.87484
2041        7.37036
547        7.05956
440        6.74309
1941        6.64743
87        5.88571
2543        5.07453
224        4.18051
1522        3.30679
2557        3.26342
714        3.16513
5        1.21677
296        1.06856
922        0.27762
241        -1.0851
868        -1.3509
422        -3.2074
468        -10.173


Spider-Man 09-04-2008 17:01

Re: Offensive Power Rankings for 2008
 
How about some statistics on the individual divisions like mean, median, standard deviation, and whatever else might be interesting. I'd like to throw some fuel on the best division debate by seeing how they stack up against each other in OPR.

Bongle 09-04-2008 17:29

Re: Offensive Power Rankings for 2008
 
Code:

A        C        G        N
1622.8        1564.3        1707.0        1514.0        Sum
798.6        824.9        892.0        851.7        Sum Top 24
49.2        52.7        52.2        56.2        Top 24 % of total
19.1        18.4        20.0        17.8        Mean
18.2        15.2        17.9        13.9        Median
11.3        11.6        14.3        13.8        Stdev


nikeairmancurry 09-04-2008 17:49

Re: Offensive Power Rankings for 2008
 
This might be immpossible but our team wants to know the rankings for the best hyrid teams in the country..

Bongle 09-04-2008 18:01

Re: Offensive Power Rankings for 2008
 
Quote:

Originally Posted by nikeairmancurry (Post 733699)
This might be immpossible but our team wants to know the rankings for the best hyrid teams in the country..

Not possible from these stats, you'd need to consult teams that do lots of scouting.

Jay Lundy 09-04-2008 19:18

Re: Offensive Power Rankings for 2008
 
I noticed some people were requesting DPR scores. While the meaning of a DPR number isn't as straightforward as OPR, I think we may be able to improve the OPR calculation by taking it into account. If a team tends to play heavy defense, the teams they play against shouldn't have their OPR reduced when they play below average. Plus I love linear algebra so this gave me an excuse to use it.

<complex math warning>

So here's the equation:

Code:

( M -N ) ( p ) = ( s_t )
( N -M ) ( d ) = ( s_o )

Where (n = total # of teams):
M = n x n matrix with M(ij) = # of times i played with j. M(ii) = # of times i played. (same as M from before)
N = n x n matrix with N(ij) = # of times i played against j. N(ii) = 0.
p = n x 1 column vector of OPRs. p(i) = OPR for team i. (same as p from before)
d = n x 1 column vector of DPRs. d(i) = DPR for team i.
s_t = n x 1 column vector of total scores. s_t(i) = Sum of all of team i's match scores. (same as s from before)
s_o = n x 1 column vector of total opponent scores. s_o(i) = Sum of all of team i's opponents' match scores.

In other words, the first n equations add all the offense played by team i's allies, subtracts all the defense played by team i's opponents, and equates that with team i's total score. The second n equations sums all the offense played by team i's opponents, subtracts all the defense played by team i's allies, and equates it with team i's opponents' total score.

We can rewrite the equation as Ax = y where A = (M -N; N -M), x = (p; d), and y = (s_t; s_o).

In the data set I used, there are 2 isolated sets of teams that played no matches with teams outside their set: the Israeli and non-Israeli teams. We can separate these sets and write an equation for each one, and I think it's easier if we do:

Code:

A_1 * x_1 = y_1
A_2 * x_2 = y_2

We can solve each equation completely independently, so I'm just going to focus on one equation and call it Ax = y. A has a null space of dimension 1 so it's not invertible. We can increase all the OPRs and DPRs by the same amount without having any effect on the scores, so the null space is the span of x = (1 1 1 ... 1). We can get a unique solution by adding one more equation. I (somewhat arbitrarily) chose the equation by saying: if there was no defense, scores would be 25% higher. In equation form that is:

Code:

M(11)*p(1) + M(22)*p(2) + ... + M(nn)*p(n) = 1.25 * (sum(s_t) / 3)
or
Code:

( E 0 ) ( p ) = 1.25 * (sum(s_t) / 3)
        ( d )

E = ( M(11) M(22) ... M(nn) )

You can tack the last equation onto the end of A like so:
Code:

A = ( M -N )
    ( N -M )
    ( E  0 )

And just ask Matlab to solve Ax = y for you. Or replace a random row in A with ( E 0 ) so A becomes invertible and solve x = A_inv * y.

</complex math warning>

I ran this against the first csv Greg posted and here are the results (top 50, ordered by OPR):

Code:

Team  OPR      DPR      OPR + DPR
1114  71.6377  0.9474  72.5852
1124  53.2773  15.2694  68.5467
2056  51.7991  6.8767  58.6759
217    51.6703  13.4995  65.1698
233    51.5346  11.4470  62.9816
39    51.0832  4.8484  55.9316
330    50.1059  0.1292  50.2351
525    50.0129  1.2725  51.2855
175    47.6712  11.6710  59.3422
40    46.3240  10.1761  56.5001
1731  46.1172  -0.0044  46.1128
987    45.9656  7.0006  52.9662
103    45.0985  10.9291  56.0276
191    44.6783  12.1649  56.8432
79    44.1938  6.1087  50.3025
1024  43.9389  5.5522  49.4911
16    43.2490  6.0931  49.3421
67    43.2308  11.1761  54.4070
20    42.3096  6.3370  48.6466
469    41.9469  -5.4304  36.5165
494    41.2950  -1.9009  39.3941
1806  40.8038  5.2194  46.0232
365    40.6742  2.5704  43.2446
47    40.3067  -1.6335  38.6732
148    39.3002  9.0662  48.3663
1493  39.0307  -0.9984  38.0323
383    38.9932  5.5749  44.5681
1625  38.8912  5.1900  44.0813
1519  38.8147  6.3316  45.1463
1126  38.6616  0.8032  39.4648
141    38.6570  7.6568  46.3137
1718  38.4372  3.7425  42.1797
663    38.2419  14.4349  52.6767
126    37.8160  6.3778  44.1938
121    37.7131  12.7949  50.5080
195    37.7043  -1.5850  36.1192
1477  37.4595  10.8694  48.3289
368    37.1072  -2.7458  34.3614
25    37.0417  -3.1295  33.9121
1717  36.5859  6.3136  42.8995
71    36.1253  8.4642  44.5895
836    35.9330  6.4528  42.3859
93    35.5093  1.6895  37.1989
69    35.3987  2.3330  37.7317
61    35.3566  5.7965  41.1532
968    34.7835  4.2148  38.9984
2345  34.6020  1.6196  36.2216
1086  34.5104  10.6218  45.1321
58    34.4129  6.7595  41.1725
935    34.3941  7.7033  42.0974

Compare this with Guy's results from the same dataset. The results are fairly similar, but there's definitely some movement in the rankings. Make of it what you will.

Personally, I don't think it tells you a whole lot to know a team's DPR. The two OPRs tell you slightly different things about a team. The old OPR tries to tell you how much a team actually scored each match. The new OPR tries to tell you how much a team could have scored each match if there was no defense. They are both potentially useful numbers.

Finally, knowing both OPR and DPR does allow you to better predict the score of a match. If you define error as:
Code:

error = actual_red_score - ( p(red1) + p(red2) + p(red3) - d(blue1) - d(blue2) - d(blue3) )
then both methods are the least squares solution for their respective vector spaces, but method #2 has a lower MSE (mean square error) and ME (mean (abs) error) because it has a bigger vector space (less information loss).

Method #1 MSE = 245.0446, ME = 12.306
Method #2 MSE = 180.8867, ME = 10.514

So it's better at predicting past scores. Is it better at predicting future scores? I guess we'll see.

Guy Davidson 09-04-2008 19:49

Re: Offensive Power Rankings for 2008
 
Jay, this is some very inpressive Linear Algebra. This is pretty awesome!

Two thoughts: Would it be possible for you, at some point, to post all DPR rankings from the overall data set? Also, maybe something more interesting for the results, could you try and solve for which correction factor (in the arbitrarily chosen equation) makes for the lowest ME? Maybe that can make it even more vaulble of a tool. I'll also shoot you a PM with another idea I have to make OPR (and probably DPR) even more meaningful.

BornaE 10-04-2008 01:00

Re: Offensive Power Rankings for 2008
 
Quote:

Originally Posted by Jay Lundy (Post 733759)
I noticed some people were requesting DPR scores. While the meaning of a DPR number isn't as straightforward as OPR, I think we may be able to improve the OPR calculation by taking it into account. If a team tends to play heavy defense, the teams they play against shouldn't have their OPR reduced when they play below average. Plus I love linear algebra so this gave me an excuse to use it.

<complex math warning>

So here's the equation:

Code:

( M -N ) ( p ) = ( s_t )
( N -M ) ( d ) = ( s_o )

Where (n = total # of teams):
M = n x n matrix with M(ij) = # of times i played with j. M(ii) = # of times i played. (same as M from before)
N = n x n matrix with N(ij) = # of times i played against j. N(ii) = 0.
p = n x 1 column vector of OPRs. p(i) = OPR for team i. (same as p from before)
d = n x 1 column vector of DPRs. d(i) = DPR for team i.
s_t = n x 1 column vector of total scores. s_t(i) = Sum of all of team i's match scores. (same as s from before)
s_o = n x 1 column vector of total opponent scores. s_o(i) = Sum of all of team i's opponents' match scores.

In other words, the first n equations add all the offense played by team i's allies, subtracts all the defense played by team i's opponents, and equates that with team i's total score. The second n equations sums all the offense played by team i's opponents, subtracts all the defense played by team i's allies, and equates it with team i's opponents' total score.

We can rewrite the equation as Ax = y where A = (M -N; N -M), x = (p; d), and y = (s_t; s_o).

In the data set I used, there are 2 isolated sets of teams that played no matches with teams outside their set: the Israeli and non-Israeli teams. We can separate these sets and write an equation for each one, and I think it's easier if we do:

Code:

A_1 * x_1 = y_1
A_2 * x_2 = y_2

We can solve each equation completely independently, so I'm just going to focus on one equation and call it Ax = y. A has a null space of dimension 1 so it's not invertible. We can increase all the OPRs and DPRs by the same amount without having any effect on the scores, so the null space is the span of x = (1 1 1 ... 1). We can get a unique solution by adding one more equation. I (somewhat arbitrarily) chose the equation by saying: if there was no defense, scores would be 25% higher. In equation form that is:

Code:

M(11)*p(1) + M(22)*p(2) + ... + M(nn)*p(n) = 1.25 * (sum(s_t) / 3)
or
Code:

( E 0 ) ( p ) = 1.25 * (sum(s_t) / 3)
        ( d )

E = ( M(11) M(22) ... M(nn) )

You can tack the last equation onto the end of A like so:
Code:

A = ( M -N )
    ( N -M )
    ( E  0 )

And just ask Matlab to solve Ax = y for you. Or replace a random row in A with ( E 0 ) so A becomes invertible and solve x = A_inv * y.

</complex math warning>

I ran this against the first csv Greg posted and here are the results (top 50, ordered by OPR):

Code:

Team  OPR      DPR      OPR + DPR
1114  71.6377  0.9474  72.5852
1124  53.2773  15.2694  68.5467
2056  51.7991  6.8767  58.6759
217    51.6703  13.4995  65.1698
233    51.5346  11.4470  62.9816
39    51.0832  4.8484  55.9316
330    50.1059  0.1292  50.2351
525    50.0129  1.2725  51.2855
175    47.6712  11.6710  59.3422
40    46.3240  10.1761  56.5001
1731  46.1172  -0.0044  46.1128
987    45.9656  7.0006  52.9662
103    45.0985  10.9291  56.0276
191    44.6783  12.1649  56.8432
79    44.1938  6.1087  50.3025
1024  43.9389  5.5522  49.4911
16    43.2490  6.0931  49.3421
67    43.2308  11.1761  54.4070
20    42.3096  6.3370  48.6466
469    41.9469  -5.4304  36.5165
494    41.2950  -1.9009  39.3941
1806  40.8038  5.2194  46.0232
365    40.6742  2.5704  43.2446
47    40.3067  -1.6335  38.6732
148    39.3002  9.0662  48.3663
1493  39.0307  -0.9984  38.0323
383    38.9932  5.5749  44.5681
1625  38.8912  5.1900  44.0813
1519  38.8147  6.3316  45.1463
1126  38.6616  0.8032  39.4648
141    38.6570  7.6568  46.3137
1718  38.4372  3.7425  42.1797
663    38.2419  14.4349  52.6767
126    37.8160  6.3778  44.1938
121    37.7131  12.7949  50.5080
195    37.7043  -1.5850  36.1192
1477  37.4595  10.8694  48.3289
368    37.1072  -2.7458  34.3614
25    37.0417  -3.1295  33.9121
1717  36.5859  6.3136  42.8995
71    36.1253  8.4642  44.5895
836    35.9330  6.4528  42.3859
93    35.5093  1.6895  37.1989
69    35.3987  2.3330  37.7317
61    35.3566  5.7965  41.1532
968    34.7835  4.2148  38.9984
2345  34.6020  1.6196  36.2216
1086  34.5104  10.6218  45.1321
58    34.4129  6.7595  41.1725
935    34.3941  7.7033  42.0974

Compare this with Guy's results from the same dataset. The results are fairly similar, but there's definitely some movement in the rankings. Make of it what you will.

Personally, I don't think it tells you a whole lot to know a team's DPR. The two OPRs tell you slightly different things about a team. The old OPR tries to tell you how much a team actually scored each match. The new OPR tries to tell you how much a team could have scored each match if there was no defense. They are both potentially useful numbers.

Finally, knowing both OPR and DPR does allow you to better predict the score of a match. If you define error as:
Code:

error = actual_red_score - ( p(red1) + p(red2) + p(red3) - d(blue1) - d(blue2) - d(blue3) )
then both methods are the least squares solution for their respective vector spaces, but method #2 has a lower MSE (mean square error) and ME (mean (abs) error) because it has a bigger vector space (less information loss).

Method #1 MSE = 245.0446, ME = 12.306
Method #2 MSE = 180.8867, ME = 10.514

So it's better at predicting past scores. Is it better at predicting future scores? I guess we'll see.

I knew it was possible, finally somebody looked at it.
Thank You!

Karthik1 22-04-2008 16:31

Re: Offensive Power Rankings for 2008
 
Now that its all over, would anyone like to post OPR based on just matches at nationals (separately for each division). I am interested in observing how teams did at an individual regional compared to nationals.

DRH2o 22-04-2008 16:59

Re: Offensive Power Rankings for 2008
 
I would like to say -- I love numbers and data. I predicted the scores of all our qualification matches and ( other than the first match that had two of our robots quit ) the scores were within 10% most of the time -- very close !!! We also had the 15th highest OPR in Archimedes -- we ended up the 17th seed -- again very close. Based on the numbers, I said we would go 6-1 -- we were 5-2.

Team 1598

65_Xero_Huskie 22-04-2008 20:56

Re: Offensive Power Rankings for 2008
 
Quote:

Originally Posted by DRH2o (Post 741257)
I would like to say -- I love numbers and data. I predicted the scores of all our qualification matches and ( other than the first match that had two of our robots quit ) the scores were within 10% most of the time -- very close !!! We also had the 15th highest OPR in Archimedes -- we ended up the 17th seed -- again very close. Based on the numbers, I said we would go 6-1 -- we were 5-2.

Team 1598

I Dont think this has a good idea on what actually counts as reliable data.
We were 15th in Galileo in OPR, however, we dont have a hurdler. All of our points are in auto/laps/assists.
We thought we would go 5-2, but our matches didnt go as planned so we went 3-4.
I like the details of this and i really appreciate it, i have been looking for something this detailed. :)

Eugene Fang 27-04-2008 23:25

Re: Offensive Power Rankings for 2008
 
does anyone have OPRs for the Championship Event? Thanks in advance!

IKE 18-05-2008 15:05

Re: Offensive Power Rankings for 2008
 
Can we get the OPR rankings for the IRI. Abra ca iri dadbra......


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