(1) #186 San Antonio Warhawks (6-14)

626.99 (15)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
75 Brawl** Loss 3-13 0 28 0% Ignored (Why) Jun 29th Texas 2 Finger 2024
166 Forge Loss 8-11 -10.81 16 4.53% Counts Jun 29th Texas 2 Finger 2024
86 Harvey Cats Loss 6-13 -1.84 15 4.53% Counts (Why) Jun 29th Texas 2 Finger 2024
58 Riverside** Loss 4-13 0 14 0% Ignored (Why) Jun 29th Texas 2 Finger 2024
182 Dallas Delinquents Loss 8-12 -18.59 15 4.53% Counts Jun 30th Texas 2 Finger 2024
208 Metro Win 13-6 16.82 16 4.53% Counts (Why) Jun 30th Texas 2 Finger 2024
224 Supercell Win 13-3 0.98 17 4.53% Counts (Why) Jun 30th Texas 2 Finger 2024
137 Cowtown Cannons Loss 9-13 -7.51 15 5.39% Counts Jul 20th Riverside Classic 2024
182 Dallas Delinquents Win 10-4 32.11 15 4.71% Counts (Why) Jul 20th Riverside Classic 2024
130 Riptide Loss 8-13 -10.4 15 5.39% Counts Jul 20th Riverside Classic 2024
130 Riptide Loss 7-10 -4.09 15 5.1% Counts Jul 20th Riverside Classic 2024
166 Forge Win 13-8 36.14 16 5.39% Counts Jul 21st Riverside Classic 2024
86 Harvey Cats Loss 7-15 -2.21 15 5.39% Counts (Why) Jul 21st Riverside Classic 2024
130 Riptide Loss 12-13 10.75 15 5.39% Counts Jul 21st Riverside Classic 2024
81 Clutch Loss 3-13 -0.81 15 6.79% Counts (Why) Aug 17th PBJ 2024
182 Dallas Delinquents Win 12-11 12.73 15 6.79% Counts Aug 17th PBJ 2024
130 Riptide Loss 3-13 -20.87 15 6.79% Counts (Why) Aug 17th PBJ 2024
220 Adventure Time Win 13-4 11.06 15 6.79% Counts (Why) Aug 18th PBJ 2024
182 Dallas Delinquents Loss 6-12 -37.49 15 6.61% Counts Aug 18th PBJ 2024
183 Amigos [JV] Loss 11-12 -6.61 15 6.79% Counts Aug 18th PBJ 2024
**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.