(1) #186 Stackcats (9-11)

509.19 (8)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
128 Mad Udderburn Loss 8-11 0.85 13 4.51% Counts Jul 6th Heavyweights 2024
129 Spectre Loss 5-13 -10.29 13 4.51% Counts (Why) Jul 6th Heavyweights 2024
174 Point of No Return Win 10-9 9.52 14 4.51% Counts Jul 6th Heavyweights 2024
171 Toast! Win 12-7 30.07 11 4.51% Counts (Why) Jul 6th Heavyweights 2024
177 ConSTLation Loss 9-12 -13.6 13 4.51% Counts Jul 7th Heavyweights 2024
183 Madison United Mixed Ultimate Win 12-6 27.88 30 4.39% Counts (Why) Jul 7th Heavyweights 2024
163 Mousetrap Loss 7-10 -9.56 12 4.27% Counts Jul 7th Heavyweights 2024
125 Columbus Chaos Loss 4-13 -10.59 12 5.37% Counts (Why) Jul 27th Bid in the Bend 2024
177 ConSTLation Loss 9-13 -20.47 13 5.37% Counts Jul 27th Bid in the Bend 2024
180 Indiana Pterodactyl Attack Loss 6-11 -26.99 13 5.08% Counts Jul 27th Bid in the Bend 2024
209 POW! Win 10-6 20.65 13 4.93% Counts (Why) Jul 27th Bid in the Bend 2024
233 Columbus Cohesion Loss 9-10 -33.21 12 5.37% Counts Jul 28th Bid in the Bend 2024
226 Frostbite Win 13-7 11.81 11 5.37% Counts (Why) Jul 28th Bid in the Bend 2024
221 Thunderpants the Magic Dragon Loss 10-11 -24.32 15 5.37% Counts Jul 28th Bid in the Bend 2024
177 ConSTLation Win 13-9 32.48 13 6.38% Counts Aug 17th Cooler Classic 35
234 I-70 United Win 15-7 7.87 10 6.38% Counts (Why) Aug 17th Cooler Classic 35
238 Lake Superior Disc** Win 15-6 0 12 0% Ignored (Why) Aug 17th Cooler Classic 35
199 Boomtown Pandas Win 14-8 32.84 18 6.38% Counts (Why) Aug 18th Cooler Classic 35
183 Madison United Mixed Ultimate Loss 8-12 -28.21 30 6.38% Counts Aug 18th Cooler Classic 35
163 Mousetrap Loss 11-12 3.43 12 6.38% Counts Aug 18th Cooler Classic 35
**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.