(16) #124 Bird (7-8)

954.47 (3)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
12 NOISE Loss 8-13 13.35 14 6.32% Counts (Why) Aug 14th Cooler Classic 32 Redux
95 EMU Loss 10-11 3 9 6.32% Counts Aug 14th Cooler Classic 32 Redux
47 Stripes Loss 3-13 -9.36 150 6.32% Counts (Why) Aug 14th Cooler Classic 32 Redux
39 Northern Comfort Loss 5-13 -3.91 0 6.32% Counts (Why) Aug 14th Cooler Classic 32 Redux
86 Mad Udderburn Loss 6-15 -28.4 11 6.69% Counts (Why) Aug 15th Cooler Classic 32 Redux
159 Jabba Win 13-10 30.1 16 6.69% Counts (Why) Aug 15th Cooler Classic 32 Redux
140 Mousetrap Loss 10-14 -49.47 22 6.69% Counts (Why) Aug 15th Cooler Classic 32 Redux
212 Townsville Ice Cream Social Win 13-7 5.59 24 7.96% Counts (Why) Sep 11th Northwest Plains Mixed Club Sectional Championship 2021
140 Mousetrap Win 12-7 44.16 22 7.96% Counts (Why) Sep 11th Northwest Plains Mixed Club Sectional Championship 2021
237 Boomtown Pandas Win 12-6 -14.89 27 7.75% Counts (Why) Sep 11th Northwest Plains Mixed Club Sectional Championship 2021
3 Drag'n Thrust** Loss 3-13 0 5 0% Ignored (Why) Sep 11th Northwest Plains Mixed Club Sectional Championship 2021
59 Minnesota Star Power Loss 4-13 -23.22 4 8.43% Counts (Why) Sep 12th Northwest Plains Mixed Club Sectional Championship 2021
125 Point of No Return Win 12-11 9 7 8.43% Counts Sep 12th Northwest Plains Mixed Club Sectional Championship 2021
150 Pandamonium Win 9-8 -2.26 13 7.98% Counts Sep 12th Northwest Plains Mixed Club Sectional Championship 2021
86 Mad Udderburn Win 6-4 26.34 11 6.12% Counts (Why) Sep 12th Northwest Plains Mixed Club Sectional Championship 2021
**Blowout Eligible. Learn more about how this works here.

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.