(1) #91 Helots (13-6)

1294.88 (68)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
115 Bomb Squad Loss 9-11 -19.01 95 4.54% Counts Jul 8th MOB Open 2023
180 SUPA FC Win 11-7 -1.78 108 4.42% Counts Jul 8th MOB Open 2023
186 Town Hall Stars Win 10-8 -12.85 95 4.42% Counts Jul 8th MOB Open 2023
173 Crypt Win 8-7 -14.53 103 4.03% Counts Jul 8th MOB Open 2023
200 Rochester Open Club** Win 13-4 0 105 0% Ignored (Why) Aug 5th Philly Open 2023
186 Town Hall Stars Win 13-9 -7.26 95 5.62% Counts Aug 5th Philly Open 2023
121 John Doe Win 11-7 15.12 102 5.47% Counts Aug 5th Philly Open 2023
80 Rumspringa Loss 9-12 -16.35 247 5.62% Counts Aug 6th Philly Open 2023
133 BAG Win 10-5 16.46 115 4.99% Counts (Why) Aug 6th Philly Open 2023
115 Bomb Squad Win 9-8 -1.43 95 5.31% Counts Aug 6th Philly Open 2023
83 Red Wolves Win 13-9 33.29 80 6.59% Counts Aug 26th The Incident 2023
52 Oakgrove Boys Loss 9-12 -7.95 88 6.59% Counts Aug 26th The Incident 2023
94 Magma Bears Loss 5-11 -38.88 65 6.05% Counts (Why) Aug 26th The Incident 2023
82 Lantern Loss 10-12 -12.94 64 6.59% Counts Aug 26th The Incident 2023
235 Adelphos** Win 7-1 0 102 0% Ignored (Why) Sep 9th 2023 Mens Founders Sectional Championship
31 Garden State Ultimate Loss 10-12 11.33 101 7.34% Counts Sep 9th 2023 Mens Founders Sectional Championship
162 Delco Club Win 13-7 10.01 91 7.34% Counts (Why) Sep 9th 2023 Mens Founders Sectional Championship
160 Happy Valley Roofing and Mustache Supply Win 13-5 13.95 90 7.34% Counts (Why) Sep 9th 2023 Mens Founders Sectional Championship
84 Pittsburgh Stealers Win 15-11 34.71 158 7.74% Counts Sep 16th 2023 Mens Founders 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.