(1) #98 OC Crows (6-14)

879.12 (3)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
50 Streetgang Loss 8-12 -3.46 2 3.29% Counts Jun 25th San Diego Slammer 2022
79 Hazard Win 13-7 22.69 2 3.29% Counts (Why) Jun 25th San Diego Slammer 2022
159 Monsoon Win 11-8 -7.62 55 3.29% Counts Jun 25th San Diego Slammer 2022
109 Casino Ultimate Loss 11-12 -6.8 18 3.29% Counts Jun 26th San Diego Slammer 2022
109 Casino Ultimate Loss 8-9 -6.42 18 3.12% Counts Jun 26th San Diego Slammer 2022
46 OAT Loss 3-11 -7.43 1 3.02% Counts (Why) Jun 26th San Diego Slammer 2022
55 Drought Loss 9-15 -9.22 2 4.08% Counts Jul 23rd Angel City Shootout 2022
79 Hazard Loss 13-14 -0.69 2 4.08% Counts Jul 23rd Angel City Shootout 2022
89 Offshore Loss 11-14 -11.09 2 4.08% Counts Jul 23rd Angel City Shootout 2022
18 SoCal Condors Loss 7-15 10.88 1 5.92% Counts (Why) Sep 10th 2022 So Cal Mens Sectional Championship
120 Sonoran Dog Win 14-6 28.81 1 5.92% Counts (Why) Sep 10th 2022 So Cal Mens Sectional Championship
50 Streetgang Loss 11-13 6.96 2 5.92% Counts Sep 10th 2022 So Cal Mens Sectional Championship
109 Casino Ultimate Win 14-6 33.06 18 5.92% Counts (Why) Sep 10th 2022 So Cal Mens Sectional Championship
50 Streetgang Loss 6-15 -16.4 2 5.92% Counts (Why) Sep 11th 2022 So Cal Mens Sectional Championship
79 Hazard Win 14-8 40.58 2 5.92% Counts (Why) Sep 11th 2022 So Cal Mens Sectional Championship
18 SoCal Condors Loss 7-15 12.19 1 6.59% Counts (Why) Sep 24th 2022 Southwest Mens Regional Championship
79 Hazard Loss 7-15 -34.63 2 6.59% Counts (Why) Sep 24th 2022 Southwest Mens Regional Championship
89 Offshore Loss 9-13 -25.83 2 6.59% Counts Sep 24th 2022 Southwest Mens Regional Championship
120 Sonoran Dog Loss 11-13 -26.16 1 6.59% Counts Sep 25th 2022 Southwest Mens Regional Championship
159 Monsoon Win 13-6 0.76 55 6.59% Counts (Why) Sep 25th 2022 Southwest Mens Regional 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.