(4) #90 The Roofing Co. (16-10)

946.39 (78)

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# Opponent Result Effect % of Ranking Status Date Event
140 Blade Win 13-5 6.07 3.01% Jun 24th SCINNY 2017
136 Low Five Win 13-10 -0.98 3.01% Jun 24th SCINNY 2017
- Cincinnati Flying Piglet** Win 13-4 0 0% Ignored Jun 24th SCINNY 2017
- Flying Pig Win 13-10 14.35 3.01% Jun 24th SCINNY 2017
74 Schweingeist Win 14-13 6.51 3.01% Jun 25th SCINNY 2017
- Flying Pig Loss 10-13 -6.01 3.01% Jun 25th SCINNY 2017
76 Enigma Win 13-6 20.94 3.01% Jun 25th SCINNY 2017
88 Wisconsin Hops Loss 10-13 -12.54 3.72% Jul 22nd Heavyweights 2017
67 Four Loss 8-13 -13.64 3.72% Jul 22nd Heavyweights 2017
133 Auxiliary Win 13-8 6.82 3.72% Jul 22nd Heavyweights 2017
- Kettering** Win 13-5 0 0% Ignored Jul 23rd Heavyweights 2017
124 DeMo Loss 11-12 -13.28 3.72% Jul 23rd Heavyweights 2017
159 Black Market II** Win 13-3 0 0% Ignored Jul 23rd Heavyweights 2017
139 Solar Eclipse Win 13-7 7.97 4.86% Aug 26th Indy Invite Club 2017
74 Schweingeist Loss 9-13 -17.06 4.86% Aug 26th Indy Invite Club 2017
86 Mango Tree Loss 10-12 -11.29 4.86% Aug 26th Indy Invite Club 2017
40 Black Market Loss 4-13 -9.31 4.86% Aug 26th Indy Invite Club 2017
136 Low Five Win 15-6 12.28 4.86% Aug 27th Indy Invite Club 2017
93 Black Lung Loss 10-13 -17.23 4.86% Aug 27th Indy Invite Club 2017
40 Black Market Loss 11-13 10.82 5.41% Sep 9th 2017 Central Plains Mens Sectionals
117 Satellite Win 11-10 -3.98 5.41% Sep 9th 2017 Central Plains Mens Sectionals
159 Black Market II Win 13-11 -23.42 5.41% Sep 9th 2017 Central Plains Mens Sectionals
63 Haymaker Win 11-10 17.44 5.41% Sep 10th 2017 Central Plains Mens Sectionals
- Los Beeros Win 13-6 -10.71 5.41% Sep 10th 2017 Central Plains Mens Sectionals
81 South Shore Line Win 15-11 24.83 5.41% Sep 10th 2017 Central Plains Mens Sectionals
40 Black Market Loss 12-14 11.27 5.41% Sep 10th 2017 Central Plains Mens Sectionals
**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.