() #137 Cowtown Cannons (10-10)

913.8 (15)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
81 Clutch Win 11-9 26.13 15 4.53% Counts Jun 29th Texas 2 Finger 2024
224 Supercell** Win 13-4 0 17 0% Ignored (Why) Jun 29th Texas 2 Finger 2024
203 Riverside Messengers Win 11-9 -10.98 15 4.53% Counts Jun 29th Texas 2 Finger 2024
87 BARNSTORM Loss 8-10 0.39 17 4.4% Counts Jun 30th Texas 2 Finger 2024
75 Brawl Loss 4-13 -10.26 28 4.53% Counts (Why) Jun 30th Texas 2 Finger 2024
71 H.I.P Loss 7-13 -6.96 15 4.53% Counts Jun 30th Texas 2 Finger 2024
58 Riverside Loss 9-13 4.01 14 4.53% Counts Jun 30th Texas 2 Finger 2024
186 San Antonio Warhawks Win 13-9 7.49 15 5.38% Counts Jul 20th Riverside Classic 2024
130 Riptide Win 11-9 15.7 15 5.38% Counts Jul 20th Riverside Classic 2024
58 Riverside Loss 4-13 -5.5 14 5.38% Counts (Why) Jul 20th Riverside Classic 2024
132 Texas United Loss 3-15 -33.1 15 5.38% Counts (Why) Jul 21st Riverside Classic 2024
130 Riptide Loss 10-13 -17.14 15 5.38% Counts Jul 21st Riverside Classic 2024
166 Forge Win 15-10 17.34 16 5.38% Counts Jul 21st Riverside Classic 2024
220 Adventure Time** Win 13-2 0 15 0% Ignored (Why) Aug 17th PBJ 2024
203 Riverside Messengers Win 13-5 8.67 15 6.78% Counts (Why) Aug 17th PBJ 2024
161 Firefly TX Win 13-6 34.57 14 6.78% Counts (Why) Aug 17th PBJ 2024
81 Clutch Loss 6-13 -21.66 15 6.78% Counts (Why) Aug 18th PBJ 2024
73 Texas Duffy Loss 8-13 -8.07 6 6.78% Counts Aug 18th PBJ 2024
183 Amigos [JV] Win 13-8 17.72 15 6.78% Counts Aug 18th PBJ 2024
161 Firefly TX Loss 10-11 -18.16 14 6.78% 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.