() #45 Wild Card (11-9)

1475.61 (13)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
110 Axolotls Win 13-4 5.27 12 4.36% Counts (Why) Jul 13th Boston Invite 2024
56 Buffalo Lake Effect Loss 7-10 -22.38 16 4.12% Counts Jul 13th Boston Invite 2024
38 Funk Loss 8-10 -8.05 15 4.24% Counts Jul 13th Boston Invite 2024
126 Nice! Win 11-7 -4.23 21 4.24% Counts Jul 13th Boston Invite 2024
69 Deadweight Win 14-8 14.34 0 4.36% Counts (Why) Jul 14th Boston Invite 2024
59 League of Shadows Win 13-9 11.61 15 4.36% Counts Jul 14th Boston Invite 2024
79 Scarecrow Win 13-4 14.66 2 4.36% Counts (Why) Jul 14th Boston Invite 2024
51 Chicago Parlay Win 11-9 8.64 15 4.89% Counts Jul 27th TCT Select Flight Invite East 2024
128 Mad Udderburn Win 15-6 0.88 13 4.89% Counts (Why) Jul 27th TCT Select Flight Invite East 2024
40 Pittsburgh Port Authority Loss 6-13 -27.32 14 4.89% Counts (Why) Jul 27th TCT Select Flight Invite East 2024
25 Revival Loss 7-11 -12.62 14 4.76% Counts Jul 28th TCT Select Flight Invite East 2024
76 Steamboat Win 14-9 10.68 15 4.89% Counts Jul 28th TCT Select Flight Invite East 2024
11 Toro Loss 7-12 -8.59 15 4.89% Counts Jul 28th TCT Select Flight Invite East 2024
54 Lights Out Win 13-10 13.41 9 5.82% Counts Aug 17th Northwest Fruit Bowl 2024
13 MOONDOG Loss 8-13 -9.98 13 5.82% Counts Aug 17th Northwest Fruit Bowl 2024
35 Sunshine Loss 10-13 -14.44 13 5.82% Counts Aug 17th Northwest Fruit Bowl 2024
34 Polar Bears Loss 7-13 -28.26 13 5.82% Counts Aug 17th Northwest Fruit Bowl 2024
1 BFG Loss 9-13 14.31 14 5.82% Counts Aug 18th Northwest Fruit Bowl 2024
44 Flight Club Win 13-2 38.04 14 5.82% Counts (Why) Aug 18th Northwest Fruit Bowl 2024
88 RAMP Win 13-9 4.22 14 5.82% Counts Aug 18th Northwest Fruit Bowl 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.