Galileo
86
192
199
368
386
492
498
587
662
701
1538
1817
2135
2152
2231
2333
2415
2486
2576
2630
3005
3045
3211
3303
3478
3507
3512
3574
3635
3959
3966
4010
4026
4080
4112
4201
4335
4355
4364
4388
4499
4516
4534
4537
4841
4904
5074
5109
5190
5411
5414
5437
5572
5654
5696
6061
6171
6191
6357
6404
6411
6445
6464
6474
6547
6579
6658
It is for sure going to be a good time and 701 is looking forward to seeing our friends who are also in Galileo!
Good luck and see y’all there
3512 is excited to be in Galileo with some old friends, and we are ready to make new ones.
Here are my “power rankings” for teams using the same metrics I’ve been using for FRCTop25 the past few weeks.
Note: Due to the bracketed scoring of rotors, gear contribution is generally underestimated (especially when gear power exceeds 4). Also, the “Combined Power” is clearly arbitrary and is just a baseline for comparing teams, so I use two metrics.
Combined power = (gearContribution / maxGearContribution) + (fuelContribution / maxFuelContribution)
Rank Team Combined Power Gear Power Fuel Power
1 3478 1.18928490373 0.749639046726 33.4611977917
2 1538 1.02727996285 3.39349984094 5.7023410513
3 4499 0.998844871578 3.96037418706 -0.0386519805905
4 492 0.995310121639 3.77052637071 1.44709507483
5 587 0.977087456218 3.78849126784 0.685557463913
6 3635 0.976665624721 3.88213530093 -0.119755871031
7 2630 0.896242979483 3.46034716621 0.75289364432
8 5074 0.889121159258 3.52077217914 0.00405813157438
9 4388 0.874492851016 3.37719209966 0.727685373023
10 2415 0.859996511094 3.41381720206 -0.0668249802309
11 4516 0.815302533169 3.24548351252 -0.140087830634
12 701 0.789384187001 2.97559654799 1.27292797196
13 5654 0.750440127006 2.8429477999 1.09056222585
14 3005 0.743688306405 2.89886959051 0.392155064866
15 2333 0.714951468241 2.82224159464 0.0780159044031
16 6579 0.705251961649 2.80228210458 -0.0779034913836
17 6547 0.687512177725 2.69634871869 0.223533167956
18 5414 0.653459666646 2.40781603809 1.52190770723
19 4534 0.645756289744 2.5538389697 0.0303958767905
20 2486 0.641185641937 2.42153729664 0.995273238116
21 4026 0.640308021072 2.48068546649 0.466164161183
22 86 0.593269490128 1.51512310026 7.05023409999
23 498 0.588892800188 2.54005564309 -1.75586928077
24 6445 0.579930018163 2.06006964589 1.99962653729
25 4537 0.558448121618 2.04167514702 1.4362316518
26 3211 0.545593526454 1.91357769512 2.08839675136
27 386 0.526653865586 1.976395603 0.923904568219
28 5190 0.5217450466 2.02429048404 0.354985800251
29 3512 0.51493869003 2.14946022138 -0.930322036572
30 2135 0.506832576051 2.03989217271 -0.275821979289
31 192 0.497681531055 1.74756537624 1.88784192325
32 2576 0.492815416754 1.96707893454 -0.129653938057
33 2231 0.458480758639 2.12819636454 -2.6398137393
34 4904 0.442030515033 1.7888710515 -0.32329934268
35 6171 0.438396905115 1.62841101112 0.910842447781
36 4364 0.430958972593 1.68526301638 0.181617777421
37 4112 0.399029355129 1.56285248534 0.147460993918
38 5437 0.39755433726 1.5931671668 -0.158023585928
39 3966 0.39481901617 1.61538436839 -0.437263821317
40 3303 0.39354624401 1.47053023614 0.744020125209
41 4201 0.388473368313 1.40557372617 1.12309311991
42 6411 0.386406026093 1.27812142169 2.13076177398
43 4010 0.382019657538 1.50316821947 0.0825684448203
44 6357 0.376132761176 1.49346500396 -0.0324316999406
45 6404 0.351515006104 1.56232965322 -1.43800862862
46 4080 0.348871195942 1.41057173772 -0.244271197648
47 368 0.341678716394 1.15626225326 1.66372041728
48 3574 0.340968550477 0.787956885488 4.75176912186
49 5109 0.321414846731 1.09428122874 1.50934468443
50 4355 0.317175225949 1.25285920853 0.0276566923989
51 5572 0.31132510787 1.25812078672 -0.212550334916
52 6191 0.307206625347 0.938089176207 2.35358708379
53 3507 0.297498840463 0.893815375375 2.40282227537
54 6061 0.29313112899 0.658797584913 4.24233850906
55 1817 0.286566657221 1.05101450348 0.708843043705
56 5411 0.229558151686 0.938502007175 -0.248111860064
57 4335 0.216120320938 0.717069562353 1.17312474599
58 3959 0.213684765645 0.159571327481 5.8019302121
59 6474 0.18968530558 0.594136412052 1.32723954007
60 2152 0.188603907813 0.700597712165 0.391563250686
61 662 0.187415336304 0.778276256101 -0.304513720533
62 4841 0.17382409653 0.714877393451 -0.223635951765
63 6658 0.169671924439 0.764676636135 -0.783326358101
64 199 0.153336981417 0.637482188662 -0.25524735008
65 5696 0.151982656859 0.60833839763 -0.054328808888
66 3045 0.149290783953 0.690371635664 -0.837500851843
67 6464 0.0737745136814 0.271594020935 0.173885966149
Combined power = (gearContribution * 10) + fuelContribution
Rank Team Combined Power Gear Power Fuel Power
1 3478 40.957588259 0.749639046726 33.4611977917
2 1538 39.6373394607 3.39349984094 5.7023410513
3 4499 39.56508989 3.96037418706 -0.0386519805905
4 492 39.1523587819 3.77052637071 1.44709507483
5 3635 38.7015971383 3.88213530093 -0.119755871031
6 587 38.5704701423 3.78849126784 0.685557463913
7 2630 35.3563653065 3.46034716621 0.75289364432
8 5074 35.211779923 3.52077217914 0.00405813157438
9 4388 34.4996063696 3.37719209966 0.727685373023
10 2415 34.0713470404 3.41381720206 -0.0668249802309
11 4516 32.3147472946 3.24548351252 -0.140087830634
12 701 31.0288934519 2.97559654799 1.27292797196
13 5654 29.5200402249 2.8429477999 1.09056222585
14 3005 29.38085097 2.89886959051 0.392155064866
15 2333 28.3004318508 2.82224159464 0.0780159044031
16 6579 27.9449175544 2.80228210458 -0.0779034913836
17 6547 27.1870203549 2.69634871869 0.223533167956
18 5414 25.6000680881 2.40781603809 1.52190770723
19 4534 25.5687855738 2.5538389697 0.0303958767905
20 4026 25.2730188261 2.48068546649 0.466164161183
21 2486 25.2106462045 2.42153729664 0.995273238116
22 498 23.6446871502 2.54005564309 -1.75586928077
23 6445 22.6003229962 2.06006964589 1.99962653729
24 86 22.2014651026 1.51512310026 7.05023409999
25 4537 21.852983122 2.04167514702 1.4362316518
26 3211 21.2241737026 1.91357769512 2.08839675136
27 386 20.6878605982 1.976395603 0.923904568219
28 5190 20.5978906406 2.02429048404 0.354985800251
29 3512 20.5642801772 2.14946022138 -0.930322036572
30 2135 20.1230997478 2.03989217271 -0.275821979289
31 2576 19.5411354074 1.96707893454 -0.129653938057
32 192 19.3634956856 1.74756537624 1.88784192325
33 2231 18.6421499061 2.12819636454 -2.6398137393
34 4904 17.5654111723 1.7888710515 -0.32329934268
35 6171 17.194952559 1.62841101112 0.910842447781
36 4364 17.0342479412 1.68526301638 0.181617777421
37 4112 15.7759858474 1.56285248534 0.147460993918
38 5437 15.7736480821 1.5931671668 -0.158023585928
39 3966 15.7165798626 1.61538436839 -0.437263821317
40 3303 15.4493224866 1.47053023614 0.744020125209
41 4201 15.1788303816 1.40557372617 1.12309311991
42 4010 15.1142506395 1.50316821947 0.0825684448203
43 6411 14.9119759909 1.27812142169 2.13076177398
44 6357 14.9022183397 1.49346500396 -0.0324316999406
45 6404 14.1852879036 1.56232965322 -1.43800862862
46 4080 13.8614461795 1.41057173772 -0.244271197648
47 368 13.2263429498 1.15626225326 1.66372041728
48 3574 12.6313379767 0.787956885488 4.75176912186
49 4355 12.5562487777 1.25285920853 0.0276566923989
50 5109 12.4521569719 1.09428122874 1.50934468443
51 5572 12.3686575323 1.25812078672 -0.212550334916
52 6191 11.7344788459 0.938089176207 2.35358708379
53 3507 11.3409760291 0.893815375375 2.40282227537
54 1817 11.2189880785 1.05101450348 0.708843043705
55 6061 10.8303143582 0.658797584913 4.24233850906
56 5411 9.13690821169 0.938502007175 -0.248111860064
57 4335 8.34382036952 0.717069562353 1.17312474599
58 662 7.47824884048 0.778276256101 -0.304513720533
59 3959 7.39764348691 0.159571327481 5.8019302121
60 2152 7.39754037234 0.700597712165 0.391563250686
61 6474 7.26860366059 0.594136412052 1.32723954007
62 4841 6.92513798274 0.714877393451 -0.223635951765
63 6658 6.86344000325 0.764676636135 -0.783326358101
64 199 6.11957453654 0.637482188662 -0.25524735008
65 3045 6.06621550479 0.690371635664 -0.837500851843
66 5696 6.02905516741 0.60833839763 -0.054328808888
67 6464 2.8898261755 0.271594020935 0.173885966149
So is everyone else getting the impression that this is a very laid back division. What big changes is everyone bringing to Champs.
Who wants to fill in information about your own team? Do your best at giving an honest/reasonable estimate on some things, but I’ve got some columns to fill in your more optimistic hopes and dreams from changes you’ve been working on too.
I created this google sheet with all the teams in Galileo with all relevant info:
Team Number, Name, City, TBA Link, Ranks, Win, Lose, Tie, Regional Wins, Regional Finalist, Chairmans /RAS, Engineering Ins, # Regionals and WLT Ratio
It is currently ranked based on a Win-Lose-Tie ratio=(w*3+t)/(w+l+t) So a win gives you 3 points a tie 1 and a lose 0 and you get the average,
Top 5 teams are
3005 2,333333333
1538 2,222222222
3478 2,217391304
662 2,172413793
6061 2,166666667
Maybe include a column for links to photos of your robot? I don’t know about other teams but part of what my team does in get photos of every robot in our division and it would speed up the process to have some provided.
4499 is significantly better than their WLT indicates, if they don’t make playoffs I will eat a hat.
4388 is super excited to be in the Galileo division as this is our first year that we have qualified and attended the Championship. We are also glad to see some friends from Colorado in the division!
As for info on our robot it can be found here https://docs.google.com/spreadsheets/d/1aBMA2hbI6R74k5Z-_8JmAOtqYJtyBwwaYRXrjKxzyQE/edit#gid=0
and feel free to enter in your own info!
See you at the Championship!
Completely agree - I’m sure your cap will remain intact. We teamed up with them at Colorado Regional this year and they have a really nice machine and their drive team is really sharp. They’ll definitely make some noise in the division.
Thank you all for the positive sentiments, and we are ecstatic to compete in this great division. We hope to start spooling up our shooter at championship! We are excited to see our friends on 4388, 3005 and 1538 and make some new ones while competing.
See you all in Houston!
Defense matters … we’ve proven it.
BTW … I’ll be your LRI this year.
Some changes to the original team list for Galileo:
Removed 4026
Added 6739
Where’s that info from?
Based on the listing here: https://my.usfirst.org/myarea/index.lasso?page=teamlist&event_type=FRC&sort_teams=number&year=2017&event=cmptx
Does anyone know how Spyder does match score predictions we wanna run the preliminary match schedule to get a feeling of how everything would pan out. It obviously wouldn’t probably be close to the real results but can help with scouting.
I generated some rough predictions on my site: https://frc.divisions.co/r/south/d/Galileo/matches
It’s not exactly the same method Spyder uses, but it’s pretty similar.
Thank you
