(2) #73 Knights of Ni (16-5)

1385.85 (81)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
147 DINGWOP Win 13-7 5.16 73 4.41% Counts (Why) Jun 24th Spirit of the Plains
233 BeMo** Win 13-2 0 75 0% Ignored (Why) Jun 24th Spirit of the Plains
192 Minnesota Superior B Win 13-6 -2.66 75 4.41% Counts (Why) Jun 24th Spirit of the Plains
103 Scythe Win 13-9 10.88 61 4.41% Counts Jun 24th Spirit of the Plains
148 Minnesota Superior A Win 10-5 4.8 78 3.92% Counts (Why) Jun 25th Spirit of the Plains
204 Loaded Panda Win 13-8 -11.42 71 4.41% Counts Jun 25th Spirit of the Plains
46 DeMo Loss 9-12 -7.73 54 4.41% Counts Jun 25th Spirit of the Plains
130 Diesel Win 13-9 3.79 151 4.91% Counts Jul 8th Heavyweights 2023
143 STL Moonar Win 13-6 9.34 67 4.91% Counts (Why) Jul 8th Heavyweights 2023
135 Trident II Win 13-5 12.28 100 4.91% Counts (Why) Jul 8th Heavyweights 2023
191 DCVIII Win 13-6 -2.59 78 4.91% Counts (Why) Jul 8th Heavyweights 2023
98 Riverside Win 12-11 0.92 103 4.91% Counts Jul 9th Heavyweights 2023
17 STL Lounar Loss 5-13 -3.95 57 4.91% Counts (Why) Jul 9th Heavyweights 2023
90 HouSE Loss 9-13 -26.22 64 4.91% Counts Jul 9th Heavyweights 2023
245 Milwaukee Revival** Win 13-2 0 78 0% Ignored (Why) Sep 9th 2023 Mens Northwest Plains Sectional Championship
127 Nomads Win 13-8 13.9 73 7.93% Counts Sep 9th 2023 Mens Northwest Plains Sectional Championship
191 DCVIII** Win 13-5 0 78 0% Ignored (Why) Sep 9th 2023 Mens Northwest Plains Sectional Championship
175 Dinkytown Doughboys Win 15-10 -9.65 77 7.93% Counts Sep 10th 2023 Mens Northwest Plains Sectional Championship
19 Sub Zero Loss 6-15 -10.36 111 7.93% Counts (Why) Sep 10th 2023 Mens Northwest Plains Sectional Championship
29 Mallard Loss 11-13 9.78 75 7.93% Counts Sep 10th 2023 Mens Northwest Plains Sectional Championship
127 Nomads Win 15-11 3.99 73 7.93% Counts Sep 10th 2023 Mens Northwest Plains Sectional Championship
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FAQ

The results on this page ("USAU") are the results of an implementation of the USA Ultimate Top 20 algorithm, which is used to allocate post season bids to both colleg and club ultimate teams. The data was obtained by scraping USAU's score reporting website. Learn more about the algorithm here. TL;DR, here is the rating function. Every game a team plays gets a rating equal to the opponents rating +/- the score value. With all these data points, we iterate team ratings until convergence. There is also a rule for discounting blowout games (see next FAQ)
For reference, here is handy table with frequent game scrores and the resulting game value:
"...if a team is rated more than 600 points higher than its opponent, and wins with a score that is more than twice the losing score plus one, the game is ignored for ratings purposes. However, this is only done if the winning team has at least N other results that are not being ignored, where N=5."

Translation: if a team plays a game where even earning the max point win would hurt them, they can have the game ignored provided they win by enough and have suffficient unignored results.