(2) #130 Riptide (12-8)

940.58 (15)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
87 BARNSTORM Loss 6-13 -15.49 17 4.17% Counts (Why) Jun 29th Texas 2 Finger 2024
182 Dallas Delinquents Win 11-7 8.59 15 4.06% Counts Jun 29th Texas 2 Finger 2024
43 Public Menemy Loss 3-13 -0.45 15 4.17% Counts (Why) Jun 29th Texas 2 Finger 2024
117 Rawhide Win 9-6 19 17 3.71% Counts Jun 29th Texas 2 Finger 2024
81 Clutch Loss 5-11 -12.93 15 3.83% Counts (Why) Jun 30th Texas 2 Finger 2024
161 Firefly TX Win 11-10 -1.15 14 4.17% Counts Jun 30th Texas 2 Finger 2024
117 Rawhide Loss 10-11 -2.19 17 4.17% Counts Jun 30th Texas 2 Finger 2024
137 Cowtown Cannons Loss 9-11 -14.41 15 4.96% Counts Jul 20th Riverside Classic 2024
161 Firefly TX Win 9-8 -1.3 14 4.69% Counts Jul 20th Riverside Classic 2024
186 San Antonio Warhawks Win 13-8 9.53 15 4.96% Counts Jul 20th Riverside Classic 2024
186 San Antonio Warhawks Win 10-7 3.75 15 4.69% Counts Jul 20th Riverside Classic 2024
137 Cowtown Cannons Win 13-10 15.74 15 4.96% Counts Jul 21st Riverside Classic 2024
71 H.I.P Loss 10-15 -3.64 15 4.96% Counts Jul 21st Riverside Classic 2024
186 San Antonio Warhawks Win 13-12 -9.85 15 4.96% Counts Jul 21st Riverside Classic 2024
182 Dallas Delinquents Win 13-8 15.49 15 6.25% Counts Aug 17th PBJ 2024
186 San Antonio Warhawks Win 13-3 19.1 15 6.25% Counts (Why) Aug 17th PBJ 2024
183 Amigos [JV] Win 13-7 18.55 15 6.25% Counts (Why) Aug 17th PBJ 2024
81 Clutch Loss 10-13 -3.52 15 6.25% Counts Aug 18th PBJ 2024
161 Firefly TX Loss 8-11 -34.48 14 6.25% Counts Aug 18th PBJ 2024
183 Amigos [JV] Win 13-12 -10.29 15 6.25% 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.