Quote:
Originally Posted by Ether
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Thanks for the awesome data, Ether!
Here are the results for the Waterloo tournament:
mpt = matches per team (so the last row is for the whole tournament and earlier rows are for the tournament through 4 matches per team, through 5, etc.)
varM = variance of the match scores
stdevM = standard deviation of the match scores
varR and stdevR are the same for the match prediction residual
so varR/varM is the fraction of the match variance that can't be predicted by the OPR linear prediction model.
/sqrt(mpt) = the standard deviation of the OPRs we would have if we were simply averaging a teams match score to estimate their OPR, which is just stdevR/sqrt(mpt)
StdErrO = the standard error of the OPRs using my complicated model derivation.
stdevO = the standard deviation of the StdErrO values taken across all teams, which is big if some teams have more standard error on their OPR values than other teams do.
Code:
mpt varM stdevM varR stdevR /sqrt(mpt) StdErrO stdevO
4 3912.31 62.55 206.90 14.38 7.19 12.22 1.60
5 4263.97 65.30 290.28 17.04 7.62 10.44 0.71
6 3818.40 61.79 346.49 18.61 7.60 9.44 0.43
7 3611.50 60.10 379.83 19.49 7.37 8.64 0.30
8 3617.25 60.14 429.42 20.72 7.33 8.28 0.17
9 3592.06 59.93 469.44 21.67 7.22 8.00 0.11
10 3623.44 60.20 539.33 23.22 7.34 8.01 0.10
11 3530.91 59.42 548.08 23.41 7.06 7.58 0.08
12 3440.36 58.65 578.65 24.06 6.94 7.38 0.07
13 3356.17 57.93 645.25 25.40 7.05 7.42 0.06
And for comparison, here's the same data for the Archimedes division results:
Code:
mpt varM stdevM varR stdevR /sqrt(mpt) StdErrO stdevO
4 1989.58 44.60 389.80 19.74 9.87 16.51 1.28
5 2000.09 44.72 714.81 26.74 11.96 16.31 0.57
6 2157.47 46.45 863.88 29.39 12.00 15.17 0.37
7 2225.99 47.18 916.16 30.27 11.44 13.64 0.29
8 2204.03 46.95 985.63 31.39 11.10 12.77 0.24
9 2235.14 47.28 1053.26 32.45 10.82 12.21 0.10
10 2209.46 47.00 1056.14 32.50 10.28 11.37 0.12
The OPR seems to do a much better job of predicting the match results in the Waterloo tournament (removing 80% of the match variance vs. 50% in Archmedes), and the standard deviation of the OPR estimates themselves is less (7.42 in Waterloo vs. 11.37 in Archimedes).