(8) #126 Barefoot (11-10)

967.13 (80)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
- SpaceX Win 11-10 8.53 33 3.68% Counts Jun 24th Huntsville Huckfest
218 Hairy Otter Win 11-6 -1.11 72 3.48% Counts (Why) Jun 24th Huntsville Huckfest
- Forcey Loss 6-11 -8.37 94 3.48% Counts Jun 24th Huntsville Huckfest
150 Memphis STAX Loss 8-11 -19.32 86 3.68% Counts Jun 24th Huntsville Huckfest
53 Roma Ultima Loss 10-11 10.97 55 4.1% Counts Jul 8th Club Terminus 2023
81 B-Unit Loss 9-13 -8.94 77 4.1% Counts Jul 8th Club Terminus 2023
169 Happy Hour Win 13-8 11.52 48 4.1% Counts Jul 8th Club Terminus 2023
73 m'kay Ultimate Loss 3-13 -14.24 30 4.1% Counts (Why) Jul 9th Club Terminus 2023
169 Happy Hour Win 13-6 15.95 48 4.1% Counts (Why) Jul 9th Club Terminus 2023
238 Victrix** Win 13-3 0 80 0% Ignored (Why) Jul 9th Club Terminus 2023
34 Dirty Bird Loss 7-15 0.9 42 5.35% Counts (Why) Aug 12th HoDown Showdown 2023
195 MoonPi Win 12-9 -3.04 117 5.35% Counts Aug 12th HoDown Showdown 2023
96 Bear Jordan Loss 5-15 -27.75 14 5.35% Counts (Why) Aug 12th HoDown Showdown 2023
150 Memphis STAX Win 15-11 13.64 86 5.35% Counts Aug 13th HoDown Showdown 2023
160 Moontower Win 15-11 12.13 60 5.35% Counts Aug 13th HoDown Showdown 2023
122 Magnanimouse Loss 9-11 -13.28 102 5.35% Counts Aug 13th HoDown Showdown 2023
123 Amber Win 11-9 18.67 21 6.62% Counts Sep 9th 2023 Mixed Gulf Coast Sectional Championship
150 Memphis STAX Loss 11-12 -18.76 86 6.62% Counts Sep 9th 2023 Mixed Gulf Coast Sectional Championship
204 New Orleans Boil Win 15-8 8.59 80 6.62% Counts (Why) Sep 9th 2023 Mixed Gulf Coast Sectional Championship
123 Amber Loss 12-13 -7.86 21 6.62% Counts Sep 10th 2023 Mixed Gulf Coast Sectional Championship
150 Memphis STAX Win 15-10 22.25 86 6.62% Counts Sep 10th 2023 Mixed Gulf Coast Sectional 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.