() #143 STL Moonar (9-12)

966.77 (67)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
130 Diesel Loss 6-13 -19.74 151 3.62% Counts (Why) Jul 8th Heavyweights 2023
73 Knights of Ni Loss 6-13 -6.79 81 3.62% Counts (Why) Jul 8th Heavyweights 2023
191 DCVIII Win 12-11 -3.99 78 3.62% Counts Jul 8th Heavyweights 2023
135 Trident II Loss 9-13 -13.57 100 3.62% Counts Jul 8th Heavyweights 2023
131 NOx Loss 7-13 -18.23 74 3.62% Counts Jul 9th Heavyweights 2023
117 Chimney Loss 6-13 -16.78 51 3.62% Counts (Why) Jul 9th Heavyweights 2023
194 UFO Win 13-8 9.21 64 3.62% Counts Jul 9th Heavyweights 2023
131 NOx Win 9-7 16.82 74 4.57% Counts Aug 19th Cooler Classic 34
159 Choice City Hops Win 13-10 12.9 75 4.98% Counts Aug 19th Cooler Classic 34
219 THE BODY Win 10-8 -8.79 76 4.85% Counts Aug 19th Cooler Classic 34
76 Haymaker Loss 2-13 -9.94 0 4.98% Counts (Why) Aug 19th Cooler Classic 34
170 Rubicon Rapids Win 13-10 10.04 77 4.98% Counts Aug 20th Cooler Classic 34
106 MKE Loss 6-13 -20.15 61 4.98% Counts (Why) Aug 20th Cooler Classic 34
127 Nomads Loss 6-9 -15.48 73 4.43% Counts Aug 20th Cooler Classic 34
17 STL Lounar Loss 8-13 27.71 57 5.84% Counts Sep 9th 2023 Mens West Plains Sectional Shampionship
103 Scythe Loss 8-13 -16.13 61 5.84% Counts Sep 9th 2023 Mens West Plains Sectional Shampionship
204 Loaded Panda Win 13-8 10.66 71 5.84% Counts Sep 9th 2023 Mens West Plains Sectional Shampionship
46 DeMo Loss 14-15 29.29 54 5.84% Counts Sep 9th 2023 Mens West Plains Sectional Shampionship
214 Meadowlark Win 15-4 11.3 45 5.84% Counts (Why) Sep 10th 2023 Mens West Plains Sectional Shampionship
131 NOx Win 15-8 39.52 74 5.84% Counts (Why) Sep 10th 2023 Mens West Plains Sectional Shampionship
103 Scythe Loss 8-13 -16.13 61 5.84% Counts Sep 10th 2023 Mens West Plains Sectional Shampionship
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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.