(2) #40 Hayride (14-8)

1077.74 (33)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
26 Vengeance Loss 7-8 8.39 4 3.5% Counts Jun 24th Texas 2 Finger 2023
101 Inferno** Win 15-1 0 256 0% Ignored (Why) Jun 24th Texas 2 Finger 2023
32 Crush City Loss 3-12 -14.32 21 3.78% Counts (Why) Jun 25th Texas 2 Finger 2023
64 TWISTED Win 11-2 7.96 89 3.62% Counts (Why) Jun 25th Texas 2 Finger 2023
46 San Antonio Problems Win 9-8 0.25 38 3.73% Counts Jun 25th Texas 2 Finger 2023
17 Ozone Loss 8-15 2.13 50 4.63% Counts Jul 15th TCT Pro Elite Challenge East 2023
14 Parcha** Loss 5-15 0 20 0% Ignored (Why) Jul 15th TCT Pro Elite Challenge East 2023
31 Rival Loss 4-15 -15.1 3 4.63% Counts (Why) Jul 15th TCT Pro Elite Challenge East 2023
26 Vengeance Loss 6-14 -11.82 4 4.63% Counts (Why) Jul 16th TCT Pro Elite Challenge East 2023
60 Wicked Win 7-2 11.88 24 4.62% Counts (Why) Aug 26th Ragna Rock 2023
66 Banshee Win 9-6 -1.99 19 5.66% Counts Aug 26th Ragna Rock 2023
35 Huntsville Laika Win 8-7 13.19 35 5.66% Counts Aug 26th Ragna Rock 2023
60 Wicked Win 10-7 2.23 24 6.02% Counts Aug 27th Ragna Rock 2023
64 TWISTED Win 8-6 -5.06 89 5.47% Counts Aug 27th Ragna Rock 2023
64 TWISTED Win 9-5 8.16 89 5.47% Counts (Why) Aug 27th Ragna Rock 2023
- Fayetteswill Win 7-3 0 5.14% Counts (Why) Sep 9th 2023 Womens Ozark Sectional Championship
82 Venom** Win 12-1 0 269 0% Ignored (Why) Sep 23rd 2023 South Central Womens Regional
32 Crush City Loss 5-12 -29.82 21 7.57% Counts (Why) Sep 23rd 2023 South Central Womens Regional
71 Jackwagon Win 6-4 -13.01 152 5.72% Counts (Why) Sep 23rd 2023 South Central Womens Regional
26 Vengeance Loss 5-8 -6.79 4 6.52% Counts Sep 24th 2023 South Central Womens Regional
64 TWISTED Win 10-4 15.68 89 6.89% Counts (Why) Sep 24th 2023 South Central Womens Regional
49 Trainwreck Win 9-5 27.97 26 6.77% Counts (Why) Sep 24th 2023 South Central Womens Regional
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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.