(1) #83 PS (14-6)

1165.73 (16)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
110 Axolotls Win 10-8 3.88 12 4.22% Counts Jun 29th LVU’s Disc Days of Summer 2024
173 Crucible Win 12-6 0.35 14 4.22% Counts (Why) Jun 29th LVU’s Disc Days of Summer 2024
213 Voltage** Win 15-3 0 16 0% Ignored (Why) Jun 29th LVU’s Disc Days of Summer 2024
124 District Cocktails Win 14-12 -1.01 18 4.34% Counts Jun 30th LVU’s Disc Days of Summer 2024
136 Garbage Pla Win 15-7 13.1 17 4.34% Counts (Why) Jun 30th LVU’s Disc Days of Summer 2024
71 Jughandle Win 11-9 15.02 16 4.34% Counts Jun 30th LVU’s Disc Days of Summer 2024
68 Jumbo Slice Win 9-8 12.45 16 5.48% Counts Aug 3rd Philly Open 2024
149 NY Swipes Loss 9-10 -30.62 16 5.79% Counts Aug 3rd Philly Open 2024
197 Spice** Win 13-5 0 14 0% Ignored (Why) Aug 3rd Philly Open 2024
87 Ant Madness Loss 8-11 -24.3 16 5.79% Counts Aug 4th Philly Open 2024
77 Malice in Wonderland Win 11-10 10.2 17 5.79% Counts Aug 4th Philly Open 2024
149 NY Swipes Win 10-5 10.88 16 5.14% Counts (Why) Aug 4th Philly Open 2024
32 Anthem Loss 3-11 -11.81 15 5.96% Counts (Why) Aug 17th Philly Invite
178 ColorBomb Win 11-5 -0.57 19 5.96% Counts (Why) Aug 17th Philly Invite
161 Espionage Win 11-6 6.17 18 6.15% Counts (Why) Aug 17th Philly Invite
95 Farm Show Win 11-9 10.19 15 6.5% Counts Aug 17th Philly Invite
71 Jughandle Loss 9-11 -11.6 16 6.5% Counts Aug 17th Philly Invite
87 Ant Madness Win 15-8 37.18 16 6.5% Counts (Why) Aug 18th Philly Invite
32 Anthem Loss 3-15 -12.94 15 6.5% Counts (Why) Aug 18th Philly Invite
71 Jughandle Loss 9-14 -27.22 16 6.5% Counts Aug 18th Philly Invite
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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.