() #279 Identity Theft (4-13)

155.32 (6)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
294 MUTT Win 13-11 -14.69 6 5.89% Counts Jul 20th Minnesota Ultimate Disc Invitational
219 Great Minnesota Get Together Loss 5-11 -11.37 3 5.41% Counts (Why) Jul 21st Minnesota Ultimate Disc Invitational
241 Madison United Mixed Ultimate Loss 8-12 -11.12 21 5.89% Counts Jul 21st Minnesota Ultimate Disc Invitational
141 Point of No Return** Loss 4-13 0 2 0% Ignored (Why) Jul 21st Minnesota Ultimate Disc Invitational
287 Ope! Win 10-7 15.23 6 5.57% Counts Jul 21st Minnesota Ultimate Disc Invitational
168 ELevate** Loss 4-13 0 2 0% Ignored (Why) Aug 3rd Heavyweights 2019
183 Wildstyle Loss 5-13 -3.04 7 6.62% Counts (Why) Aug 3rd Heavyweights 2019
290 Taco Cat Win 13-8 17.9 2 6.62% Counts Aug 3rd Heavyweights 2019
199 Jabba Loss 7-13 -5.39 2 6.62% Counts Aug 4th Heavyweights 2019
176 Mousetrap Loss 4-13 -1.62 3 6.62% Counts (Why) Aug 4th Heavyweights 2019
250 Mishigami Loss 8-13 -20.41 2 6.62% Counts Aug 4th Heavyweights 2019
241 Madison United Mixed Ultimate Loss 12-13 13.43 21 8.83% Counts Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
38 Minnesota Star Power** Loss 2-13 0 3 0% Ignored (Why) Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
141 Point of No Return Loss 8-13 23.94 2 8.83% Counts Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
176 Mousetrap Loss 4-13 -2.22 3 8.83% Counts (Why) Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
245 Dinosaur Fancy Loss 10-13 -9.32 3 8.83% Counts Sep 8th Northwest Plains Mixed Club Sectional Championship 2019
295 Fox Valley Forge Win 13-4 9.71 3 8.83% Counts (Why) Sep 8th Northwest Plains Mixed Club Sectional Championship 2019
**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.