(15) #231 POW! (4-15)

280.91 (164)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
129 Bandwagon** Loss 3-13 0 35 0% Ignored (Why) Jul 8th Heavyweights 2023
92 Mad Udderburn** Loss 4-13 0 7 0% Ignored (Why) Jul 8th Heavyweights 2023
174 Boomtown Pandas Loss 7-13 -6.31 217 4.79% Counts Jul 8th Heavyweights 2023
191 2Fly2Furious Loss 5-13 -14.44 165 4.79% Counts (Why) Jul 8th Heavyweights 2023
240 PanIC Win 12-7 19.18 122 4.79% Counts (Why) Jul 9th Heavyweights 2023
209 Mastodon Loss 11-12 2.87 167 4.79% Counts Jul 9th Heavyweights 2023
212 ELevate Loss 4-8 -22.29 117 5.24% Counts Aug 19th Motown Throwdown 2023
201 Pixel Loss 7-11 -14.32 110 6.42% Counts Aug 19th Motown Throwdown 2023
100 Columbus Chaos Loss 4-9 10.33 144 5.45% Counts (Why) Aug 19th Motown Throwdown 2023
212 ELevate Win 9-7 28.42 117 6.05% Counts Aug 20th Motown Throwdown 2023
146 Indiana Pterodactyl Attack Loss 6-11 0.75 133 6.24% Counts Aug 20th Motown Throwdown 2023
193 Thunderpants the Magic Dragon Loss 1-12 -20.25 64 6.33% Counts (Why) Aug 20th Motown Throwdown 2023
186 Crucible Loss 7-11 -9.05 66 6.42% Counts Aug 20th Motown Throwdown 2023
50 Steamboat** Loss 3-15 0 61 0% Ignored (Why) Sep 9th 2023 Mixed East Plains Sectional Championship
193 Thunderpants the Magic Dragon Win 10-9 35.67 64 7.74% Counts Sep 9th 2023 Mixed East Plains Sectional Championship
136 Toast! Loss 6-15 -0.13 113 7.74% Counts (Why) Sep 9th 2023 Mixed East Plains Sectional Championship
201 Pixel Loss 8-11 -9.01 110 7.74% Counts Sep 10th 2023 Mixed East Plains Sectional Championship
191 2Fly2Furious Loss 10-12 6.27 165 7.74% Counts Sep 10th 2023 Mixed East Plains Sectional Championship
246 Lightning Win 11-10 -7.33 7.74% Counts Sep 10th 2023 Mixed East Plains Sectional Championship
**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.