() #177 ConSTLation (11-10)

566.98 (13)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
174 Point of No Return Loss 6-12 -22.82 14 3.91% Counts Jul 6th Heavyweights 2024
171 Toast! Win 12-7 24.21 11 4.02% Counts (Why) Jul 6th Heavyweights 2024
129 Spectre Loss 5-13 -11.53 13 4.02% Counts (Why) Jul 6th Heavyweights 2024
128 Mad Udderburn Loss 9-12 -0.82 13 4.02% Counts Jul 6th Heavyweights 2024
186 Stackcats Win 12-9 12.04 8 4.02% Counts Jul 7th Heavyweights 2024
215 Pixel Win 9-8 -5.4 12 3.8% Counts Jul 7th Heavyweights 2024
212 The Force Win 11-9 0.51 10 4.02% Counts Jul 7th Heavyweights 2024
125 Columbus Chaos Loss 7-11 -5.43 12 4.65% Counts Jul 27th Bid in the Bend 2024
186 Stackcats Win 13-9 18.1 8 4.78% Counts Jul 27th Bid in the Bend 2024
180 Indiana Pterodactyl Attack Win 10-9 5.49 13 4.78% Counts Jul 27th Bid in the Bend 2024
209 POW! Loss 10-12 -19.75 13 4.78% Counts Jul 27th Bid in the Bend 2024
146 Trex Mix Win 13-9 33.03 11 4.78% Counts Jul 28th Bid in the Bend 2024
153 Jabba Loss 10-11 4.2 38 4.78% Counts Jul 28th Bid in the Bend 2024
209 POW! Win 13-12 -1.52 13 4.78% Counts Jul 28th Bid in the Bend 2024
171 Toast! Win 13-6 33.01 11 4.78% Counts (Why) Jul 28th Bid in the Bend 2024
199 Boomtown Pandas Loss 11-12 -14.29 18 5.68% Counts Aug 17th Cooler Classic 35
171 Toast! Loss 9-13 -21.74 11 5.68% Counts Aug 17th Cooler Classic 35
186 Stackcats Loss 9-13 -28.7 8 5.68% Counts Aug 17th Cooler Classic 35
231 Mad City Vibes Win 15-8 5.31 6 5.68% Counts (Why) Aug 18th Cooler Classic 35
170 Pandamonium Loss 9-12 -17.07 7 5.68% Counts Aug 18th Cooler Classic 35
224 Mastodon Win 15-5 12.65 13 5.68% Counts (Why) Aug 18th Cooler Classic 35
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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.