(1) #90 HouSE (10-9)

1296.54 (64)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
17 STL Lounar Loss 6-13 0.57 57 4.29% Counts (Why) Jul 8th Heavyweights 2023
156 NOMAD Win 13-10 -3.52 75 4.29% Counts Jul 8th Heavyweights 2023
45 Kenji's BBB Win 13-12 18.51 43 4.29% Counts Jul 8th Heavyweights 2023
117 Chimney Win 12-11 -2.33 51 4.29% Counts Jul 8th Heavyweights 2023
127 Nomads Win 13-9 7.75 73 4.29% Counts Jul 9th Heavyweights 2023
63 I-69 Loss 7-11 -13.69 171 4.17% Counts Jul 9th Heavyweights 2023
73 Knights of Ni Win 13-9 22.76 81 4.29% Counts Jul 9th Heavyweights 2023
96 Bux Loss 10-11 -8.33 61 5.91% Counts Aug 19th Cooler Classic 34
36 Kansas City Smokestack Loss 5-13 -15.98 68 5.91% Counts (Why) Aug 19th Cooler Classic 34
29 Mallard Loss 8-13 -4.04 75 5.91% Counts Aug 19th Cooler Classic 34
135 Trident II Win 13-12 -9.28 100 5.91% Counts Aug 19th Cooler Classic 34
47 Beacon Loss 8-15 -18.71 43 5.91% Counts Aug 20th Cooler Classic 34
17 STL Lounar** Loss 6-15 0 57 0% Ignored (Why) Aug 20th Cooler Classic 34
76 Haymaker Win 15-11 28.99 0 5.91% Counts Aug 20th Cooler Classic 34
179 Timber Win 15-8 5.87 73 6.93% Counts (Why) Sep 9th 2023 Mens Northwest Plains Sectional Championship
106 MKE Win 15-12 13.88 61 6.93% Counts Sep 9th 2023 Mens Northwest Plains Sectional Championship
194 UFO Win 15-10 -9.44 64 6.93% Counts Sep 9th 2023 Mens Northwest Plains Sectional Championship
96 Bux Loss 13-15 -16.52 61 6.93% Counts Sep 10th 2023 Mens Northwest Plains Sectional Championship
16 General Strike Loss 7-15 2.98 109 6.93% Counts (Why) Sep 10th 2023 Mens Northwest Plains Sectional Championship
**Blowout Eligible. Learn more about how this works here.

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.