(6) #88 Wisconsin Hops (10-12)

950.39 (81)

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# Opponent Result Effect % of Ranking Status Date Event
90 The Roofing Co. Win 13-10 13.45 3.98% Jul 22nd Heavyweights 2017
133 Auxiliary Win 11-9 -3.1 3.98% Jul 22nd Heavyweights 2017
41 Illusion Loss 6-15 -7.73 3.98% Jul 22nd Heavyweights 2017
67 Four Loss 7-13 -17.34 3.98% Jul 22nd Heavyweights 2017
116 KC SmokeStack Win 12-10 1.66 3.98% Jul 23rd Heavyweights 2017
76 Enigma Loss 12-13 -2.25 3.98% Jul 23rd Heavyweights 2017
98 Dallas United: Desperados Loss 12-13 -7.21 3.98% Jul 23rd Heavyweights 2017
28 Brickyard Loss 9-11 14.17 4.67% Aug 12th The Bropen 2017
155 Cream City Crooks Win 11-8 -10.06 4.67% Aug 12th The Bropen 2017
40 Black Market Loss 7-11 -2.6 4.67% Aug 12th The Bropen 2017
63 Haymaker Win 11-6 35.44 4.67% Aug 12th The Bropen 2017
30 Mad Men Loss 6-11 -0.98 4.67% Aug 12th The Bropen 2017
109 houSE Win 15-13 5.27 4.67% Aug 13th The Bropen 2017
68 Imperial Loss 13-15 -3.88 4.67% Aug 13th The Bropen 2017
155 Cream City Crooks Win 11-6 -1.18 4.67% Aug 13th The Bropen 2017
162 Hippie Mafia** Win 15-5 0 0% Ignored Sep 9th 2017 Northwest Plains Mens Sectionals
105 THE BODY Win 14-12 8.88 5.79% Sep 9th 2017 Northwest Plains Mens Sectionals
43 General Strike Loss 11-15 1.09 5.79% Sep 9th 2017 Northwest Plains Mens Sectionals
68 Imperial Loss 11-15 -15.12 5.79% Sep 10th 2017 Northwest Plains Mens Sectionals
109 houSE Win 15-11 16.86 5.79% Sep 10th 2017 Northwest Plains Mens Sectionals
49 MKE Loss 10-15 -9.36 5.79% Sep 10th 2017 Northwest Plains Mens Sectionals
97 Climax Loss 13-15 -15.94 5.79% Sep 10th 2017 Northwest 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.