() #97 THE BODY (10-10)

1049.68 (5)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
30 Mad Men Win 14-12 30.09 3 4.31% Counts Jun 29th Spirit of the Plains 2019
57 Cryptic Loss 12-13 5.81 4 4.31% Counts Jun 29th Spirit of the Plains 2019
76 DeMo Win 11-2 29.72 4 3.96% Counts (Why) Jun 29th Spirit of the Plains 2019
137 Kansas City Smokestack Win 5-1 11.37 4 2.62% Counts (Why) Jun 29th Spirit of the Plains 2019
45 Mallard Loss 5-12 -10.9 4 4.14% Counts (Why) Jun 30th Spirit of the Plains 2019
59 Scythe Loss 6-10 -10.84 4 3.96% Counts Jun 30th Spirit of the Plains 2019
103 Imperial Win 13-10 14.09 4 4.31% Counts Jun 30th Spirit of the Plains 2019
133 Kentucky Flying Circus Loss 8-13 -40.38 5 5.76% Counts Aug 3rd Heavyweights 2019
240 Ditto B** Win 13-3 0 4 0% Ignored (Why) Aug 3rd Heavyweights 2019
96 HouSE Loss 11-13 -13.81 4 5.76% Counts Aug 3rd Heavyweights 2019
193 Midnight Meat Train Win 13-6 3.39 4 5.76% Counts (Why) Aug 4th Heavyweights 2019
178 Milwaukee Revival Win 13-7 7.14 4 5.76% Counts (Why) Aug 4th Heavyweights 2019
156 Ditto A Win 13-9 7 5 5.76% Counts Aug 4th Heavyweights 2019
46 Haymaker Loss 6-13 -17.49 11 6.46% Counts (Why) Aug 17th Cooler Classic 31
73 Swans Win 13-8 43.53 4 6.46% Counts Aug 17th Cooler Classic 31
59 Scythe Loss 13-14 7.47 4 6.46% Counts Aug 17th Cooler Classic 31
103 Imperial Loss 6-13 -42.54 4 6.46% Counts (Why) Aug 17th Cooler Classic 31
111 Black Market II Loss 6-7 -10.13 5 5.35% Counts Aug 18th Cooler Classic 31
177 Red Bat Win 11-8 -4.94 4 6.46% Counts Aug 18th Cooler Classic 31
76 DeMo Loss 7-9 -9.97 4 5.93% Counts Aug 18th Cooler Classic 31
**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.