(16) #59 Grit City (14-5)

1312.32 (153)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
47 Donuts Loss 5-9 -17 129 4.1% Counts Jul 8th Revolution 2023
113 Shipwreck Win 9-4 12.69 174 3.95% Counts (Why) Jul 8th Revolution 2023
172 Nebula Win 15-2 1.2 81 4.77% Counts (Why) Jul 8th Revolution 2023
88 Mango Loss 8-9 -14.72 57 4.51% Counts Jul 8th Revolution 2023
60 Cutthroat Win 12-10 11.83 38 4.77% Counts Jul 9th Revolution 2023
179 VU Win 12-6 -2.98 198 4.65% Counts (Why) Jul 9th Revolution 2023
91 Hive Win 12-6 18.04 171 4.65% Counts (Why) Jul 9th Revolution 2023
190 Drip** Win 11-4 0 137 0% Ignored (Why) Aug 12th Kleinman Eruption 2023
200 Surge** Win 11-3 0 30 0% Ignored (Why) Aug 12th Kleinman Eruption 2023
168 Choco Ghost House Win 9-7 -17.64 69 5.72% Counts Aug 12th Kleinman Eruption 2023
172 Nebula Win 10-4 1.38 81 5.44% Counts (Why) Aug 12th Kleinman Eruption 2023
79 Bullet Train Loss 5-8 -31.93 25 5.15% Counts Aug 13th Kleinman Eruption 2023
172 Nebula Win 13-7 -1.23 81 6.23% Counts (Why) Aug 13th Kleinman Eruption 2023
9 Red Flag Loss 9-13 17.6 5 7.71% Counts Sep 9th 2023 Mixed Washington Sectional Championship
77 Seattle Soft Serve Win 14-13 0.12 61 7.71% Counts Sep 9th 2023 Mixed Washington Sectional Championship
109 Garbage Win 15-6 26.2 199 7.71% Counts (Why) Sep 9th 2023 Mixed Washington Sectional Championship
125 TT Loss 10-12 -47.97 7.71% Counts Sep 9th 2023 Mixed Washington Sectional Championship
114 Squid Inc. Win 13-6 25.62 198 7.71% Counts (Why) Sep 10th 2023 Mixed Washington Sectional Championship
125 TT Win 12-6 19.75 7.51% Counts (Why) Sep 10th 2023 Mixed Washington 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.