(6) #163 Crossfire (9-12)

859.38 (109)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
158 Alibi Loss 9-10 -4.05 125 4.03% Counts Jul 15th Boston Invite 2023
137 Expendables Loss 8-11 -9.52 126 4.03% Counts Jul 15th Boston Invite 2023
72 Colt Loss 6-13 -2.94 158 4.03% Counts (Why) Jul 15th Boston Invite 2023
62 Shade Loss 4-13 -0.41 88 4.03% Counts (Why) Jul 15th Boston Invite 2023
158 Alibi Win 11-10 8.53 125 5.26% Counts Aug 19th Ow My Knee 2023
215 EZ Win 13-3 16.05 94 5.26% Counts (Why) Aug 19th Ow My Knee 2023
226 Buffalo Frostbite Win 13-6 12.62 108 5.26% Counts (Why) Aug 19th Ow My Knee 2023
158 Alibi Loss 8-13 -25.97 125 5.26% Counts Aug 20th Ow My Knee 2023
215 EZ Win 12-11 -10.33 94 5.26% Counts Aug 20th Ow My Knee 2023
238 Mohawk Valley Wild Win 13-8 -1.99 107 5.26% Counts Aug 20th Ow My Knee 2023
235 Adelphos Win 13-3 6.77 102 5.55% Counts (Why) Aug 26th The Incident 2023
189 Dirty Laundry Win 10-8 8.65 105 5.4% Counts Aug 26th The Incident 2023
115 Bomb Squad Loss 8-13 -12.41 95 5.55% Counts Aug 26th The Incident 2023
252 Deepfake** Win 13-3 0 102 0% Ignored (Why) Aug 26th The Incident 2023
115 Bomb Squad Loss 12-13 9.4 95 5.55% Counts Aug 27th The Incident 2023
70 OAT Loss 8-15 -1.45 108 5.55% Counts Aug 27th The Incident 2023
32 Scoop** Loss 2-15 0 148 0% Ignored (Why) Sep 9th 2023 Mens East New England Sectional Championship
133 BAG Loss 11-14 -9.11 115 6.17% Counts Sep 9th 2023 Mens East New England Sectional Championship
181 Jerk Factory Win 15-11 20.42 138 6.17% Counts Sep 9th 2023 Mens East New England Sectional Championship
133 BAG Loss 10-11 3.29 115 6.17% Counts Sep 10th 2023 Mens East New England Sectional Championship
82 Lantern Loss 5-15 -7.22 64 6.17% Counts (Why) Sep 10th 2023 Mens East New England Sectional Championship
**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.