(2) #206 Buffalo Frostbite (8-12)

396.78 (37)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
233 Buffalo Practice Players** Win 13-1 0 88 0% Ignored (Why) Jun 9th NCU Round Robin 2024
229 Chemical X Win 10-8 -13.89 88 4.49% Counts Jun 9th NCU Round Robin 2024
176 DAPPER Loss 8-12 -6.35 14 4.62% Counts Jun 9th NCU Round Robin 2024
177 BANG Loss 4-13 -17.06 19 5.49% Counts (Why) Jun 29th Antlerlock 2024
225 Motive Loss 8-11 -43.82 82 5.49% Counts Jun 29th Antlerlock 2024
110 Skeleton Squad** Loss 0-13 0 2 0% Ignored (Why) Jun 29th Antlerlock 2024
169 Bartle Boys Loss 6-13 -14.76 30 5.49% Counts (Why) Jun 30th Antlerlock 2024
221 Spring Break '93 Win 10-7 8.45 46 5.19% Counts Jun 30th Antlerlock 2024
65 Ghostbusters** Loss 2-13 0 13 0% Ignored (Why) Aug 3rd Philly Open 2024
52 Chimney** Loss 2-13 0 17 0% Ignored (Why) Aug 3rd Philly Open 2024
205 Beef Depot Win 11-8 30.11 18 7.33% Counts Aug 4th Philly Open 2024
135 Bomb Squad Loss 6-11 -1.62 14 6.93% Counts Aug 4th Philly Open 2024
181 Diesel Loss 7-11 -14.25 14 7.13% Counts Aug 4th Philly Open 2024
189 Rebels Loss 7-11 -22.03 18 7.13% Counts Aug 4th Philly Open 2024
94 Magma Bears** Loss 3-13 0 14 0% Ignored (Why) Aug 17th Ow My Knee 2024
151 Odyssey Loss 10-13 11.73 16 8.23% Counts Aug 17th Ow My Knee 2024
225 Motive Win 13-6 18.95 82 8.23% Counts (Why) Aug 17th Ow My Knee 2024
205 Beef Depot Win 11-7 41.95 18 8.01% Counts Aug 18th Ow My Knee 2024
229 Chemical X Win 12-6 1.86 88 8.01% Counts (Why) Aug 18th Ow My Knee 2024
204 Crossfire Win 13-11 23.58 34 8.23% 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.