(49) #117 DR (7-12)

754.36 (312)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
31 BW Ultimate Loss 5-11 5.99 312 4.76% Counts (Why) Jun 11th Bay Area Ultimate Classic
45 Mango Loss 5-14 -1.81 312 5.19% Counts (Why) Jun 11th Bay Area Ultimate Classic
116 VU Win 10-6 25 313 4.76% Counts (Why) Jun 11th Bay Area Ultimate Classic
45 Mango Loss 5-15 -1.81 312 5.19% Counts (Why) Jun 12th Bay Area Ultimate Classic
52 Firefly Loss 4-13 -4.03 312 5.19% Counts (Why) Jun 12th Bay Area Ultimate Classic
116 VU Win 15-4 33.04 313 5.19% Counts (Why) Jun 12th Bay Area Ultimate Classic
70 Cutthroat Loss 2-13 -13.33 312 5.77% Counts (Why) Jun 25th Truckee River Ultimate Cooldown TRUC
48 Hive Loss 5-13 -3.09 312 5.77% Counts (Why) Jun 25th Truckee River Ultimate Cooldown TRUC
43 Sacramento Tower Ultimate Loss 5-13 -0.04 312 5.77% Counts (Why) Jun 25th Truckee River Ultimate Cooldown TRUC
26 LIT Ultimate** Loss 5-13 0 312 0% Ignored (Why) Jun 26th Truckee River Ultimate Cooldown TRUC
164 Quails Win 9-4 1.82 308 4.77% Counts (Why) Jun 26th Truckee River Ultimate Cooldown TRUC
150 Garage Sale Win 9-5 12.94 311 4.95% Counts (Why) Jun 26th Truckee River Ultimate Cooldown TRUC
104 Octonauts Loss 7-9 -11.25 312 5.89% Counts Jul 9th Revolution
148 Calamity Win 12-4 23.9 313 6.16% Counts (Why) Jul 9th Revolution
64 Robot Loss 5-11 -10.35 312 5.89% Counts (Why) Jul 9th Revolution
121 Birds of Paradise Loss 6-8 -18.73 312 5.51% Counts Jul 9th Revolution
141 Davis Heatwave Win 11-10 -5.16 319 6.42% Counts Jul 10th Revolution
148 Calamity Win 11-9 0.91 313 6.42% Counts Jul 10th Revolution
105 Family Style Loss 5-14 -34.77 312 6.42% Counts (Why) Jul 10th Revolution
**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.