(8) #71 PowderHogs (12-11)

1055.74 (11)

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# Opponent Result Effect % of Ranking Status Date Event
116 KC SmokeStack Win 15-10 4.19 2.71% Jun 17th Fort Collins Summer Solstice 2017
106 Syndicate Loss 8-9 -8.84 2.71% Jun 17th Fort Collins Summer Solstice 2017
- Johnny Encore Win 14-13 5.38 2.71% Jun 17th Fort Collins Summer Solstice 2017
25 Inception Loss 9-15 -0.99 2.71% Jun 18th Fort Collins Summer Solstice 2017
89 Scythe Win 15-7 13.7 2.71% Jun 18th Fort Collins Summer Solstice 2017
91 Rip City Ultimate Loss 11-13 -15.6 4.39% Aug 19th Ski Town Classic 2017
126 ISO Atmo Win 12-11 -11.51 4.39% Aug 19th Ski Town Classic 2017
169 Gridlock Win 13-6 -19.26 4.39% Aug 19th Ski Town Classic 2017
106 Syndicate Loss 11-12 -14.53 4.39% Aug 19th Ski Town Classic 2017
123 DTH Win 12-6 11.77 4.39% Aug 20th Ski Town Classic 2017
113 Thundersnow Win 11-8 5.12 4.39% Aug 20th Ski Town Classic 2017
69 Sawtooth Win 13-11 13.76 5.15% Sep 9th 2017 Big Sky Mens Sectionals
79 The Killjoys Loss 12-14 -14.34 5.15% Sep 9th 2017 Big Sky Mens Sectionals
- Madd Dogg Win 15-11 -5.29 5.15% Sep 9th 2017 Big Sky Mens Sectionals
69 Sawtooth Loss 10-15 -23.28 5.15% Sep 10th 2017 Big Sky Mens Sectionals
79 The Killjoys Win 15-11 18.34 5.15% Sep 10th 2017 Big Sky Mens Sectionals
34 Dark Star Loss 6-13 -13.5 5.73% Sep 23rd Northwest Mens Regionals 2017
91 Rip City Ultimate Win 13-7 27.11 5.73% Sep 23rd Northwest Mens Regionals 2017
36 Voodoo Loss 7-13 -11.5 5.73% Sep 23rd Northwest Mens Regionals 2017
21 Furious George Loss 7-13 0.34 5.73% Sep 23rd Northwest Mens Regionals 2017
2 Sockeye** Loss 2-15 0 0% Ignored Sep 24th Northwest Mens Regionals 2017
69 Sawtooth Win 14-9 30.29 5.73% Sep 24th Northwest Mens Regionals 2017
36 Voodoo Loss 12-14 8.95 5.73% Sep 24th Northwest Mens Regionals 2017
**Blowout Eligible

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.