(15) #189 Rainbow (7-16)

497.47 (81)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
193 Lobster Disque Loss 9-11 -11.83 13 4.41% Counts Jun 29th Antlerlock 2024
182 Replay Win 10-9 7.9 3 4.41% Counts Jun 29th Antlerlock 2024
49 Zero Strategy** Loss 1-13 0 7 0% Ignored (Why) Jun 29th Antlerlock 2024
205 Buffalo Brain Freeze Win 11-10 2.72 9 4.41% Counts Jun 30th Antlerlock 2024
214 Taproot Win 11-10 -2.1 19 4.41% Counts Jun 30th Antlerlock 2024
145 Quahogs Loss 7-10 -3.26 31 4.18% Counts Jun 30th Antlerlock 2024
69 Deadweight** Loss 3-12 0 0 0% Ignored (Why) Jul 13th Boston Invite 2024
82 Heat Wave** Loss 4-11 0 11 0% Ignored (Why) Jul 13th Boston Invite 2024
79 Scarecrow Loss 6-12 6.11 2 4.82% Counts Jul 13th Boston Invite 2024
60 The Buoy Association Loss 6-13 10.88 13 4.96% Counts (Why) Jul 13th Boston Invite 2024
110 Axolotls Loss 10-15 2.09 12 4.96% Counts Jul 14th Boston Invite 2024
52 Grand Army** Loss 4-15 0 15 0% Ignored (Why) Jul 14th Boston Invite 2024
69 Deadweight** Loss 4-15 0 0 0% Ignored (Why) Aug 3rd Vacationland 2024
216 Hartford Current Win 15-11 11.63 10 5.89% Counts Aug 3rd Vacationland 2024
133 Red Fox Ultimate Loss 10-11 15.12 19 5.89% Counts Aug 3rd Vacationland 2024
60 The Buoy Association Loss 7-15 13.07 13 5.89% Counts (Why) Aug 3rd Vacationland 2024
193 Lobster Disque Loss 10-11 -8.26 13 5.89% Counts Aug 4th Vacationland 2024
185 UV Rays Win 9-8 8.15 10 5.57% Counts Aug 4th Vacationland 2024
176 Brooklyn Hive Loss 3-14 -38.84 39 7.01% Counts (Why) Aug 24th Chowdafest 2024
203 Hogs Co. Win 11-10 4.66 7.01% Counts Aug 24th Chowdafest 2024
126 Nice! Loss 6-11 -9.3 21 6.63% Counts Aug 24th Chowdafest 2024
182 Replay Loss 9-10 -5.96 3 7.01% Counts Aug 24th Chowdafest 2024
232 yEUTH-ANd-Age-SIA Win 10-7 -3.46 30 6.63% Counts Aug 24th Chowdafest 2024
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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.