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OPR after Week Five Events
The OPR/CCWM numbers up to Week 5 events have been posted, please see
http://www.chiefdelphi.com/media/papers/2174 All events up to Week 5 are now included. I fixed a small bug for each event page in column T for "Record". The formula was wrong for rows beyond the first 37 teams. If you find any error or have any questions, please let me know. |
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Weeks 1 thru 5 OPR & CCWM correlation to actual match results. CCWM Column Headings & meaning: Code:
OPR Column Headings & meaning: Code:
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Once again, thank you Ed and Ether for posting this.
Summary of global OPR and CCWM match win/loss predictions: 81.72% and 82.47% respectively. Does anyone have an idea of the number of teams yet to compete in week 6? |
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http://www.chiefdelphi.com/forums/sh...53&postcount=1 |
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As a second-year non-engineering mentor, I was wondering all off-season what my role on the team would be now the the team was able to mostly sustain itself. I discovered OPR and related statistics this year and they have kept me busy with scouting every week.
Thank you for all the work you do correlating this data each week! It has made FRC so much more interesting for me this year! I love watching the webcasts of high-OPR teams like 1114, and it doesn't hurt that OPR has made my own team look pretty darn good this year, (4th and 2nd in OPR, respectively, in their two district events, even without a banner to show for it). So from a statistics geek from PA... thanks again! |
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It's bittersweet that we have the 5th highest OPR in the world and didn't qualify for Championship...
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Thanks for this. It was a pleasure to meet and win with you last Saturday.
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The reason Ether was questioning is because when we compare teams across different regionals/district, we use World OPR and takes all interactions of teams into account. However it ranks team higher if they have been consistently good at different events than teams that did relatively not as well in their early events and improve a lot in later events. Both ways are valid in considering how good a team is. My suggestion for 624 is to push for a district model in Texas. In the district model, you don't need to win an event to qualify. You just need to be consistently good. In fact it is possible for the 2nd round pick winning alliance team to not make it to State Championship or World Championship in the district model if they were just lucky in one event and do poorly in the other. |
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Here's a slightly different view of the data, FWIW. I computed World OPR rankings based on Week5 data only, Week4 data only, Week3 data only, Weeks3&4 data only, Weeks3,4,&5 data only, and Weeks4&5 data only. Results: Code:
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I guess the thing to note in the 624 discussion is that the OPR is a number which reflects past performance and does not predict future results. Every match is open to any alliance winning, whether through multiple miscellaneous technical fouls, superior play, random Murphyisms, or strategic miscellany. It sounds like 624, though playing strongly, has fallen victim to random chance.
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Thanks Ed & Ether for this great resource.
However I do need to quibble about how OPR/CCWM is being discussed, as exemplified by several earlier posts. Picking one of these: Quote:
It's analogous to (although not as extreme as) stating that final qualification ranking is a good predictor of the performance in earlier qualifying matches. Whereas obviously qualification ranking is a consequence of performance in earlier matches. Good practice would use disjoint training and testing sets. I'm sure this analysis has been performed in previous seasons but I didn't see it from a brief search of CD. Interestingly the simple baseline heuristic of "alliance with lower team numbers" has 59.1% predictive power for qualification matches this season. I'm assume that OPR and CCWM are better than that, but not as good as the ~82% claimed above. |
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I'm guessing the easiest place to track predictive power would be the Championship event. Quote:
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OPR and CCWM are calculated using only qualification match results, right?
So, one could test their predictive value using the elimination results of that event. |
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This is a pessimistic estimate, since data gathered during the Week5 events for already-played qual matches could be used to supplement the weeks 1 thru 4 data to predict future qual matches in the Week5 events. Based on the earlier post by efoote868, future qual matches at any given event are best predicted by OPR of already-played matches at that event, once a sufficient number of matches has been played. Forgot to mention: columns V thru AA list the teams for each match for which no week 1 thru 4 OPR data is available. |
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I suppose that what I am trying to lead to is that the OPR and CCWM numbers are very useful tools (we use them a lot), but they only indicate based on the assumption that nothing will change from previous matches. |
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So I was just toying with this spreadsheet out of interest.
I added a field to the OPR results page for each team's state/province, and filtered it based on that field, because I wanted to support my intuitive feeling that Ontario's second tier is much stronger because of the influence of 1114 and 2056. Calculating average OPR's for different regions gives me the following results: Avg Max OPR FIRST-Wide: 16.3 Avg Max OPR in Ontario: 23.3 Avg Max OPR in Michigan: 22.8 Avg Max OPR in Ontario (not including 1114 and 2056): 21.1 Avg Max OPR in New Jersey: 18.8 Avg Max OPR in Ohio: 18.6 Avg Max OPR in Pennsylvania: 18.5 Avg Max OPR in Indiana: 17.4 Avg Max OPR in New York: 16.8 Avg Max OPR in Quebec: 16.7 Avg Max OPR in Massachusetts: 16.1 Avg Max OPR in New Hampshire: 14.0 Avg Max OPR in California: 14.0 Avg Max OPR in Texas: 13.8 Avg Max OPR in Minnesota: 13.0 |
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Thanks for posting this information - I have fun with it. Also... congratulations on your team's win over the weekend.
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What about Delaware? 27.8 Avg Max OPR. Of course, it's not as though we have enough teams to form a full alliance, much less a full match, but still... |
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Of the states/provinces/areas that can field their own matches, Mississippi, Hawaii, and Ontario are 1-2-3. *sigh* One day, maybe we'll grow up to be a bigger state... |
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Trend implies some sort of change over time, so really none of them are trends. They're all just statistical distributions.
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And of those 3, only Ontario has had enough to hold a regional. |
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Texas and Minnesota both have a HUGE number of teams - most of which are very young. This could provide an explanation for the low scores.
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The other interesting thing, is how low CA is ranked by this metric. Below the FIRST-wide average, and yet CA is seen as one of the stronger regions.
I think this is an artifact of the sheer number of CA teams. Yes, they have 254, 330, 973, and more, but there are just so many of the weaker teams in CA that it skews their average. |
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Sorry, I'm new to this page and thought it very interesting. I'm not sure how to open the reports? *wince
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Well, considering that I don't even know the difference right now...both? XD
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If so, what version is it? If not, what OS are you using? |
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Oh, I know how to download a file and use Excel. I just don't know which one to download out of the many, many files on his link.
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OHHHHHHHHH. Wow. Now I feel a little stupid. wow. wow. Anyway, thanks Ether and Carr!
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Curious me is wondering how to actually predict the outcomes of a match using OPR? I have a bit of AP Stat background, but not much in matrix math. Is there a simple, easy method (Ie totaling OPR for the Red and Blue alliance and the higher is the winner?) Or, if I've managed to miss the thread in my filtering that describes this, could someone direct me to it?
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That's what I figured. I just wasn't sure if it was more advanced than that.
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...Which is why OPR sucked as a metric of team performance in 2011.
OPR in 2013: pretty good until you get to really high scores where multiple teams on an alliance could drain the alliance station of discs on their own. |
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Still waiting for the rest of the Qual Match data from Bridgewater, but in the meantime here's an interesting look at the OPR and CCWM based on Week6 events. |
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Crossroads OPR from Friday matches were 16 for 25 in predicting outcomes, which is much worse than Boilermaker's 20 for 24.
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64 65 70 72 73 76 78 84 ... what's the 9th one? |
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While we're waiting for Ed to update his superb scouting spreadsheet... OPR & CCWM World Rankings based on Weeks 1 thru 6 Qual Match data |
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Unless there's a confidence interval, I'm not exactly sure how to treat a tie statistically. And labeling a match "too close to call" isn't any fun. :p |
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hypothetically if OPR prediction said the match would be 50.001-49.999, and there was a tie 50-50, should the OPR prediction be considered wrong and not excused as a tie? :-) Maybe we should start publishing the residual vector (or the covariance matrix?) along with the OPR :-) |
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I'm sure that integer rounding can be excused. :D
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FWIW, I calculated OPR using all qual data for weeks 1 thru 5 PLUS week6 Friday, and used that to predict Saturday Qual matches at Crossroads. It got Matches 65 and 84 right, but got Match 80 wrong. 64 70 72 73 76 78 80 |
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I'm wondering if OPR predictions at the Championship event will be similar; Crossroads had a fairly deep field with an average OPR of about 27.6.
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Max Event OPR achieved by each of the 2,490 teams |
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What is the match with an OPR residual of 280+?
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I found an equals sign where there should have been a minus sign in one of my AWK scripts. Here's a corrected version. |
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If you look carefully, you'll see that the average CCWM is zero only for those events where the schedule had each team playing the same number of times. When you do World CCWM, this effect is exaggerated. The CCWM residuals, however, will always sum to zero, regardless of schedule. |
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Although this data sheet is now slightly old news...what is this black magic that puts my team's OPR above 341, 365, 233, and 379? :ahh: Last time I checked, 3941 was ranked 262...quite frankly, I am astonished by this considering our current regional ranking. What factors go into OPR that could produce such a result?
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http://www.chiefdelphi.com/forums/sh...0&postcount=36 and here: http://www.chiefdelphi.com/forums/sh...0&postcount=11 and here: http://www.chiefdelphi.com/forums/sh...86&postcount=9 and here: http://www.chiefdelphi.com/media/papers/download/3321 |
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Aha. Makes better sense now. Thanks Ether.
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The randomness of scheduling can boost OPR if you are partnered with relatively low scoring teams in a high scoring match. |
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