(6) #88 Mutiny (15-6)

1191.83 (13)

Click on column to sort  • 
# Opponent Result Effect % of Ranking Status Date Event
202 FIRE ULTIMATE CLUB MIAMI Win 13-3 1.07 5.27% Counts (Why) Jul 13th Swan Boat 2019
227 Baywatch** Win 13-3 0 0% Ignored (Why) Jul 13th Swan Boat 2019
226 Bold City** Win 13-2 0 0% Ignored (Why) Jul 13th Swan Boat 2019
235 Mixchief Win 13-6 -14.69 5.27% Counts (Why) Jul 13th Swan Boat 2019
219 Big Bend** Win 15-1 0 0% Ignored (Why) Jul 14th Swan Boat 2019
192 Monster Win 15-7 2.74 5.27% Counts (Why) Jul 14th Swan Boat 2019
136 Jackpot Win 15-3 20.35 5.27% Counts (Why) Jul 14th Swan Boat 2019
137 BATL Cows Loss 8-13 -44.3 5.55% Counts Jul 20th 2019 Club Terminus
163 Magic City Mayhem Loss 11-12 -32.22 5.55% Counts Jul 20th 2019 Club Terminus
99 Shakedown Win 12-8 20.74 5.55% Counts Jul 20th 2019 Club Terminus
197 The Umbrella Win 13-7 -0.03 5.55% Counts (Why) Jul 20th 2019 Club Terminus
16 Weird** Loss 5-12 0 0% Ignored (Why) Jul 21st 2019 Club Terminus
137 BATL Cows Win 13-6 20.15 5.55% Counts (Why) Jul 21st 2019 Club Terminus
197 The Umbrella Win 13-5 2.46 5.55% Counts (Why) Jul 21st 2019 Club Terminus
137 BATL Cows Win 12-10 -1.34 6.52% Counts Aug 10th HoDown ShowDown 23 GOAT
110 sKNO cone Win 13-9 19.35 6.52% Counts Aug 10th HoDown ShowDown 23 GOAT
35 Superlame Loss 9-12 5.01 6.52% Counts Aug 10th HoDown ShowDown 23 GOAT
71 Trash Pandas Win 11-10 15.94 6.52% Counts Aug 10th HoDown ShowDown 23 GOAT
73 Bexar Win 15-11 33.28 6.52% Counts Aug 11th HoDown ShowDown 23 GOAT
39 'Shine Loss 8-15 -13.7 6.52% Counts Aug 11th HoDown ShowDown 23 GOAT
71 Trash Pandas Loss 6-15 -34.6 6.52% Counts (Why) Aug 11th HoDown ShowDown 23 GOAT
**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.