(13) #89 Offshore (6-13)

929.15 (41)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
56 Drought Loss 9-15 -10.66 100 3.86% Counts Jul 23rd Angel City Shootout 2022
80 Hazard Loss 13-15 -6.17 3 3.86% Counts Jul 23rd Angel City Shootout 2022
99 OC Crows Win 14-11 10.45 151 3.86% Counts Jul 23rd Angel City Shootout 2022
58 ISO Atmo Loss 10-11 5.75 0 4.78% Counts Aug 20th Ski Town Classic 2022
56 Drought Loss 5-13 -17.56 100 4.78% Counts (Why) Aug 20th Ski Town Classic 2022
49 Switchback Loss 3-13 -15.25 18 4.78% Counts (Why) Aug 20th Ski Town Classic 2022
73 Utah Hatu Loss 8-13 -18.29 42 4.78% Counts Aug 20th Ski Town Classic 2022
133 Seven Out Loss 8-12 -36.57 5 4.78% Counts Aug 21st Ski Town Classic 2022
133 Seven Out Win 15-10 9.87 5 5.61% Counts Sep 10th 2022 So Cal Mens Sectional Championship
18 SoCal Condors Loss 9-15 12.27 29 5.61% Counts Sep 10th 2022 So Cal Mens Sectional Championship
50 Streetgang Loss 7-15 -18.56 60 5.61% Counts (Why) Sep 10th 2022 So Cal Mens Sectional Championship
162 Monsoon Win 15-7 -5.61 148 5.61% Counts (Why) Sep 10th 2022 So Cal Mens Sectional Championship
50 Streetgang Loss 9-15 -13.54 60 5.61% Counts Sep 11th 2022 So Cal Mens Sectional Championship
80 Hazard Win 15-5 39.25 3 5.61% Counts (Why) Sep 11th 2022 So Cal Mens Sectional Championship
56 Drought Loss 10-11 8.33 100 6.24% Counts Sep 24th 2022 Southwest Mens Regional Championship
119 Sonoran Dog Win 11-6 22.32 61 5.9% Counts (Why) Sep 24th 2022 Southwest Mens Regional Championship
99 OC Crows Win 13-9 24.31 151 6.24% Counts Sep 24th 2022 Southwest Mens Regional Championship
12 Revolver Loss 7-15 15.17 47 6.24% Counts (Why) Sep 24th 2022 Southwest Mens Regional Championship
80 Hazard Loss 14-15 -4.29 3 6.24% Counts 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.