(2) #53 BAG (10-10)

1182.26 (2)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
40 Lantern Loss 4-13 -20.57 3 4.1% Counts (Why) Jul 16th Boston Invite 2022
99 MKE Win 15-10 6.38 9 4.1% Counts Jul 16th Boston Invite 2022
77 Magma Bears Win 9-6 8.57 3 3.65% Counts Jul 16th Boston Invite 2022
29 Big Wrench Loss 6-9 -5.52 4 3.65% Counts Jul 16th Boston Invite 2022
44 Red Tide Loss 7-12 -19.2 3 4.1% Counts Jul 17th Boston Invite 2022
62 Iditarod Loss 10-11 -7.45 4 4.1% Counts Jul 17th Boston Invite 2022
73 Colt Win 13-4 23.56 0 4.81% Counts (Why) Aug 6th Philly Open 2022
145 Adelphos** Win 12-3 0 3 0% Ignored (Why) Aug 6th Philly Open 2022
102 Bomb Squad Win 9-8 -8.97 1 4.55% Counts Aug 6th Philly Open 2022
29 Big Wrench Win 9-5 34.57 4 4.13% Counts (Why) Aug 7th Philly Open 2022
38 Redwolves Loss 5-13 -24.05 3 4.81% Counts (Why) Aug 7th Philly Open 2022
51 Needham Squad Loss 8-13 -32.06 3 6.29% Counts Sep 10th 2022 East New England Mens Sectional Championship
9 DiG Loss 10-15 15.92 1 6.29% Counts Sep 10th 2022 East New England Mens Sectional Championship
134 MBTA Win 15-5 1.4 1 6.29% Counts (Why) Sep 10th 2022 East New England Mens Sectional Championship
29 Big Wrench Loss 11-14 -2.72 4 6.29% Counts Sep 10th 2022 East New England Mens Sectional Championship
122 TROUT Win 15-4 9.86 1 6.29% Counts (Why) Sep 11th 2022 East New England Mens Sectional Championship
62 Iditarod Win 15-13 11.06 4 6.29% Counts Sep 11th 2022 East New England Mens Sectional Championship
29 Big Wrench Loss 8-15 -19.59 4 6.29% Counts Sep 11th 2022 East New England Mens Sectional Championship
14 GOAT Loss 7-15 -2.08 2 6.99% Counts (Why) Sep 24th 2022 Northeast Mens Regional Championship
51 Needham Squad Win 14-10 31.34 3 6.99% Counts Sep 24th 2022 Northeast 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.