(23) #279 Identity Theft (4-13)

209.93 (122)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
294 MUTT Win 13-11 -16.31 55 6.42% Counts Jul 20th Minnesota Ultimate Disc Invitational
288 Ope! Win 10-7 16.22 43 6.07% Counts Jul 21st Minnesota Ultimate Disc Invitational
244 Madison United Mixed Ultimate Loss 8-12 -12.99 1 6.42% Counts Jul 21st Minnesota Ultimate Disc Invitational
218 Great Minnesota Get Together Loss 5-11 -12.37 190 5.89% Counts (Why) Jul 21st Minnesota Ultimate Disc Invitational
147 Point of No Return** Loss 4-13 0 28 0% Ignored (Why) Jul 21st Minnesota Ultimate Disc Invitational
156 ELevate** Loss 4-13 0 41 0% Ignored (Why) Aug 3rd Heavyweights 2019
169 Wildstyle** Loss 5-13 0 49 0% Ignored (Why) Aug 3rd Heavyweights 2019
289 Taco Cat Win 13-8 19.49 51 7.14% Counts Aug 3rd Heavyweights 2019
192 Jabba Loss 7-13 -4.55 63 7.14% Counts Aug 4th Heavyweights 2019
171 Mousetrap Loss 4-13 -0.8 69 7.14% Counts (Why) Aug 4th Heavyweights 2019
251 Mishigami Loss 8-13 -22.3 2 7.14% Counts Aug 4th Heavyweights 2019
244 Madison United Mixed Ultimate Loss 12-13 13.05 1 9.32% Counts Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
51 Minnesota Star Power** Loss 2-13 0 18 0% Ignored (Why) Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
147 Point of No Return Loss 8-13 23.31 28 9.32% Counts Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
171 Mousetrap Loss 4-13 -1.07 69 9.32% Counts (Why) Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
248 Dinosaur Fancy Loss 10-13 -10.85 88 9.32% Counts Sep 8th Northwest Plains Mixed Club Sectional Championship 2019
295 Fox Valley Forge Win 13-4 10.18 92 9.32% 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.