(2) #32 General Strike (15-4)

1346.5 (47)

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# Opponent Result Effect % of Ranking Status Date Event
31 Black Market Loss 9-11 -10.41 4.01% Jun 30th Spirit of the Plains 2018
70 Imperial Win 13-7 10.1 4.01% Jun 30th Spirit of the Plains 2018
39 Mad Men Win 13-7 20.48 4.01% Jun 30th Spirit of the Plains 2018
53 Illusion Win 13-7 16.1 4.01% Jun 30th Spirit of the Plains 2018
95 Scythe Win 11-9 -9.12 4.01% Jul 1st Spirit of the Plains 2018
60 DeMo Win 11-1 13.38 3.68% Jul 1st Spirit of the Plains 2018
39 Mad Men Win 11-10 2.4 4.01% Jul 1st Spirit of the Plains 2018
132 DingWop** Win 13-1 0 0% Ignored Sep 8th Northwest Plains Mens Sectional Championship 2018
103 houSE Win 13-4 5.66 6.84% Sep 8th Northwest Plains Mens Sectional Championship 2018
161 Ironside** Win 13-4 0 0% Ignored Sep 8th Northwest Plains Mens Sectional Championship 2018
72 Swans Win 13-11 -7.4 6.84% Sep 8th Northwest Plains Mens Sectional Championship 2018
117 THE BODY Win 14-11 -22.19 6.84% Sep 9th Northwest Plains Mens Sectional Championship 2018
47 MKE Win 15-13 6.76 6.84% Sep 9th Northwest Plains Mens Sectional Championship 2018
72 Swans Win 15-14 -15.02 6.84% Sep 9th Northwest Plains Mens Sectional Championship 2018
49 CaSTLe Win 13-5 38.51 7.61% Sep 22nd North Central Mens Regional Championship 2018
47 MKE Loss 10-11 -20.35 7.61% Sep 22nd North Central Mens Regional Championship 2018
16 Madison Club Loss 2-13 -20.92 7.61% Sep 22nd North Central Mens Regional Championship 2018
53 Illusion Win 14-13 -3.91 7.61% Sep 23rd North Central Mens Regional Championship 2018
21 Prairie Fire Loss 11-13 -5.53 7.61% Sep 23rd North Central Mens Regional Championship 2018
**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.