(1) #156 Ditto A (11-8)

745.75 (5)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
73 Swans Loss 7-13 -5.9 4 4.7% Counts Aug 3rd Heavyweights 2019
122 Satellite Loss 12-13 2.72 4 4.7% Counts Aug 3rd Heavyweights 2019
196 Carolina Sky Win 13-10 3.02 4 4.7% Counts Aug 3rd Heavyweights 2019
193 Midnight Meat Train Win 13-9 8.77 4 4.7% Counts Aug 4th Heavyweights 2019
178 Milwaukee Revival Loss 9-10 -12.9 4 4.7% Counts Aug 4th Heavyweights 2019
97 THE BODY Loss 9-13 -5.65 5 4.7% Counts Aug 4th Heavyweights 2019
231 Black Market III** Win 13-4 0 4 0% Ignored (Why) Aug 24th Indy Invite Club 2019
133 Kentucky Flying Circus Loss 8-11 -13.4 5 5.59% Counts Aug 24th Indy Invite Club 2019
135 Enigma Loss 7-13 -25.29 4 5.59% Counts Aug 24th Indy Invite Club 2019
231 Black Market III Win 15-9 -7.34 4 5.59% Counts Aug 25th Indy Invite Club 2019
227 Bird Patrol Win 15-6 5.21 4 5.59% Counts (Why) Aug 25th Indy Invite Club 2019
172 MomINtuM Win 13-12 1.16 4 5.59% Counts Aug 25th Indy Invite Club 2019
231 Black Market III Win 13-7 -5.48 4 6.27% Counts (Why) Sep 7th Central Plains Mens Club Sectional Championship 2019
21 Brickyard Loss 6-13 19.9 8 6.27% Counts (Why) Sep 7th Central Plains Mens Club Sectional Championship 2019
172 MomINtuM Loss 7-13 -44.35 4 6.27% Counts Sep 7th Central Plains Mens Club Sectional Championship 2019
122 Satellite Win 13-12 20.42 4 6.27% Counts Sep 7th Central Plains Mens Club Sectional Championship 2019
172 MomINtuM Win 15-11 18.44 4 6.27% Counts Sep 8th Central Plains Mens Club Sectional Championship 2019
226 Nasty Girls Win 15-8 3.56 4 6.27% Counts (Why) Sep 8th Central Plains Mens Club Sectional Championship 2019
122 Satellite Win 15-11 37.56 4 6.27% Counts Sep 8th Central Plains Mens 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.