(28) #251 Mishigami (4-15)

416.19 (2)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
213 Mastodon Loss 8-9 4.98 33 4.56% Counts Aug 3rd Heavyweights 2019
214 Stackcats Loss 9-11 -1.42 21 4.82% Counts Aug 3rd Heavyweights 2019
154 Melt Loss 10-13 8.58 1 4.82% Counts Aug 3rd Heavyweights 2019
279 Identity Theft Win 13-8 14.67 122 4.82% Counts Aug 4th Heavyweights 2019
192 Jabba Win 13-9 35.97 63 4.82% Counts Aug 4th Heavyweights 2019
171 Mousetrap Win 11-7 41.82 69 4.69% Counts Aug 4th Heavyweights 2019
73 Petey's Pirates Loss 6-13 15.49 48 5.65% Counts (Why) Aug 24th Indy Invite Club 2019
263 SlipStream Loss 8-12 -31.26 103 5.65% Counts Aug 24th Indy Invite Club 2019
170 Thunderpants the Magic Dragon Loss 4-13 -12.52 105 5.65% Counts (Why) Aug 24th Indy Invite Club 2019
132 Liquid Hustle Loss 7-13 3 54 5.65% Counts Aug 25th Indy Invite Club 2019
187 Pixel Loss 6-12 -14.82 56 5.5% Counts Aug 25th Indy Invite Club 2019
263 SlipStream Loss 9-12 -25.52 103 5.65% Counts Aug 25th Indy Invite Club 2019
73 Petey's Pirates** Loss 4-13 0 48 0% Ignored (Why) Sep 7th East Plains Mixed Club Sectional Championship 2019
249 Second Wind Win 13-10 22.46 172 6.29% Counts Sep 7th East Plains Mixed Club Sectional Championship 2019
228 Midwestern Mediocrity Loss 9-13 -20.72 85 6.29% Counts Sep 7th East Plains Mixed Club Sectional Championship 2019
175 Moonshine Loss 8-13 -8.76 69 6.29% Counts Sep 7th East Plains Mixed Club Sectional Championship 2019
205 Pi+ Loss 12-15 -2.72 6.29% Counts Sep 8th East Plains Mixed Club Sectional Championship 2019
182 Rocket LawnChair Loss 13-15 9.35 65 6.29% Counts Sep 8th East Plains Mixed Club Sectional Championship 2019
249 Second Wind Loss 6-13 -39.82 172 6.29% Counts (Why) Sep 8th East 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.