() #76 Pittsburgh Stealers (13-8)

1005.26 (1)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
91 Beacon Win 13-10 9.1 72 3.49% Counts Jun 25th SCINNY
105 Black Lung Loss 8-13 -24.19 53 3.49% Counts Jun 25th SCINNY
- AGE Against the Machine GGM** Win 13-3 0 40 0% Ignored (Why) Jun 25th SCINNY
105 Black Lung Win 11-9 2.77 53 3.49% Counts Jun 26th SCINNY
97 Hazard Win 15-9 14.15 5 3.49% Counts Jun 26th SCINNY
- Flying Pig Win 13-7 -6.87 2 3.49% Counts (Why) Jun 26th SCINNY
170 Deepfake** Win 13-2 0 1 0% Ignored (Why) Aug 6th Philly Open 2022
121 Ballston Booya Win 13-10 2.73 0 4.81% Counts Aug 6th Philly Open 2022
90 John Doe Win 13-6 26.51 23 4.81% Counts (Why) Aug 6th Philly Open 2022
54 Brickhouse Win 5-4 10.28 8 3.31% Counts Aug 7th Philly Open 2022
48 Oakgrove Boys Loss 10-13 -5.37 3 4.81% Counts Aug 7th Philly Open 2022
44 Red Tide Loss 9-12 -4.88 3 4.81% Counts Aug 7th Philly Open 2022
42 Rumspringa Win 15-14 27.18 4 6.28% Counts Sep 10th 2022 Founders Mens Sectional Championship
145 Adelphos Win 12-11 -25.78 3 6.28% Counts Sep 10th 2022 Founders Mens Sectional Championship
28 Garden State Ultimate Loss 9-15 -4.1 2 6.28% Counts Sep 10th 2022 Founders Mens Sectional Championship
11 Pittsburgh Temper Loss 7-15 11.48 3 6.28% Counts (Why) Sep 10th 2022 Founders Mens Sectional Championship
52 CITYWIDE Special Loss 9-15 -24.09 2 6.98% Counts Sep 24th 2022 Mid Atlantic Mens Regional Championship
130 SUPA FC Win 15-8 17.56 1 6.98% Counts (Why) Sep 24th 2022 Mid Atlantic Mens Regional Championship
38 Redwolves Loss 10-15 -11.41 3 6.98% Counts Sep 24th 2022 Mid Atlantic Mens Regional Championship
102 Bomb Squad Win 13-11 6.97 1 6.98% Counts Sep 25th 2022 Mid Atlantic Mens Regional Championship
66 Helots Loss 10-14 -22.77 1 6.98% Counts Sep 25th 2022 Mid Atlantic 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.