(4) #205 Buffalo Brain Freeze (7-14)

431.45 (9)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
194 Compost Plates Loss 7-10 -16.24 16 4.67% Counts Jun 9th NCU Round Robin 2024
136 Garbage Pla Win 8-7 25.14 17 4.38% Counts Jun 9th NCU Round Robin 2024
145 Quahogs Loss 7-13 -11.01 31 5.87% Counts Jun 29th Antlerlock 2024
154 T Party Loss 4-12 -15.37 75 5.63% Counts (Why) Jun 29th Antlerlock 2024
237 Sugar Shack Win 7-5 -9.28 1 4.66% Counts Jun 29th Antlerlock 2024
182 Replay Loss 8-11 -15.81 3 5.87% Counts Jun 30th Antlerlock 2024
185 UV Rays Win 11-9 20.46 10 5.87% Counts Jun 30th Antlerlock 2024
189 Rainbow Loss 10-11 -3.68 81 5.87% Counts Jun 30th Antlerlock 2024
61 FLI** Loss 3-13 0 17 0% Ignored (Why) Aug 3rd Philly Open 2024
77 Malice in Wonderland** Loss 1-13 0 17 0% Ignored (Why) Aug 3rd Philly Open 2024
161 Espionage Loss 6-10 -16.6 18 7.19% Counts Aug 3rd Philly Open 2024
241 Domino Effect** Win 11-3 0 108 0% Ignored (Why) Aug 3rd Philly Open 2024
220 JAWN Loss 8-9 -27.68 16 7.41% Counts Aug 3rd Philly Open 2024
213 Voltage Win 11-6 35.38 16 7.41% Counts (Why) Aug 4th Philly Open 2024
78 Bench** Loss 4-13 0 15 0% Ignored (Why) Aug 17th Ow My Knee 2024
136 Garbage Pla Loss 8-13 -7.03 17 8.79% Counts Aug 17th Ow My Knee 2024
232 yEUTH-ANd-Age-SIA Win 13-5 21.94 30 8.79% Counts (Why) Aug 17th Ow My Knee 2024
59 League of Shadows** Loss 4-13 0 15 0% Ignored (Why) Aug 17th Ow My Knee 2024
110 Axolotls Loss 11-13 31.9 12 8.79% Counts Aug 18th Ow My Knee 2024
241 Domino Effect** Win 12-5 0 108 0% Ignored (Why) Aug 18th Ow My Knee 2024
179 Starfire Loss 10-12 -11.15 21 8.79% Counts Aug 18th Ow My Knee 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.