(1) #133 Seven Out (7-13)

641.68 (5)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
119 Sonoran Dog Loss 9-15 -20.85 61 4.74% Counts Aug 6th Coconino Classic
56 Drought Loss 7-15 -3.11 100 4.74% Counts (Why) Aug 6th Coconino Classic
162 Monsoon Win 14-13 -14.03 148 4.74% Counts Aug 6th Coconino Classic
37 Sawtooth Loss 7-13 6.23 25 5.27% Counts Aug 20th Ski Town Classic 2022
107 PowderHogs Win 13-12 17.08 35 5.27% Counts Aug 20th Ski Town Classic 2022
35 Fungi** Loss 1-13 0 13 0% Ignored (Why) Aug 20th Ski Town Classic 2022
40 Zyzzyva** Loss 3-13 0 4 0% Ignored (Why) Aug 20th Ski Town Classic 2022
89 Offshore Win 12-8 40.57 41 5.27% Counts Aug 21st Ski Town Classic 2022
58 ISO Atmo Loss 7-13 -1.7 0 5.27% Counts Aug 21st Ski Town Classic 2022
- Kirkland Signature Win 13-7 16.11 162 6.19% Counts (Why) Sep 10th 2022 So Cal Mens Sectional Championship
56 Drought Loss 5-15 -4.12 100 6.19% Counts (Why) Sep 10th 2022 So Cal Mens Sectional Championship
80 Hazard Loss 3-15 -16.62 3 6.19% Counts (Why) Sep 10th 2022 So Cal Mens Sectional Championship
89 Offshore Loss 10-15 -10.96 41 6.19% Counts Sep 10th 2022 So Cal Mens Sectional Championship
- Jam It In Win 11-10 6.76 37 6.19% Counts Sep 11th 2022 So Cal Mens Sectional Championship
119 Sonoran Dog Loss 5-15 -33.21 61 6.19% Counts (Why) Sep 11th 2022 So Cal Mens Sectional Championship
50 Streetgang Loss 4-15 -1.84 60 6.89% Counts (Why) Sep 24th 2022 Southwest Mens Regional Championship
162 Monsoon Win 15-7 14.27 148 6.89% Counts (Why) Sep 24th 2022 Southwest Mens Regional Championship
56 Drought Loss 11-13 22.83 100 6.89% Counts Sep 24th 2022 Southwest Mens Regional Championship
113 Battery Loss 11-15 -17.29 1 6.89% Counts Sep 25th 2022 Southwest Mens Regional Championship
- Bonsoon** Win 15-2 0 439 0% Ignored (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.