(1) #78 Bench (14-8)

1200.23 (15)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
115 Lampshade Win 13-6 15.92 18 4.33% Counts (Why) Jun 29th Antlerlock 2024
79 Scarecrow Loss 7-9 -11.69 2 3.98% Counts Jun 29th Antlerlock 2024
56 Buffalo Lake Effect Loss 7-10 -10.47 16 4.1% Counts Jun 29th Antlerlock 2024
49 Zero Strategy Loss 8-12 -9.4 7 4.33% Counts Jun 30th Antlerlock 2024
79 Scarecrow Loss 7-9 -11.69 2 3.98% Counts Jun 30th Antlerlock 2024
49 Zero Strategy Win 12-8 34.5 7 4.86% Counts Jul 13th Plates Invite
194 Compost Plates** Win 15-3 0 16 0% Ignored (Why) Jul 13th Plates Invite
46 Garbage Plates Win 9-7 25.76 14 4.46% Counts Jul 13th Plates Invite
91 Mashed Win 11-9 7.54 15 4.86% Counts Jul 13th Plates Invite
107 HVAC Win 13-7 21.75 19 5.78% Counts (Why) Aug 3rd Philly Open 2024
176 Brooklyn Hive Win 11-5 -1.01 39 5.31% Counts (Why) Aug 3rd Philly Open 2024
94 Oasis Ultimate Loss 6-10 -35.31 18 5.31% Counts Aug 3rd Philly Open 2024
99 Legion Loss 9-10 -17.5 19 5.78% Counts Aug 4th Philly Open 2024
77 Malice in Wonderland Loss 5-10 -30.74 17 5.14% Counts Aug 4th Philly Open 2024
149 NY Swipes Win 9-7 -7.2 16 5.31% Counts Aug 4th Philly Open 2024
110 Axolotls Win 13-11 1.37 12 6.49% Counts Aug 17th Ow My Knee 2024
232 yEUTH-ANd-Age-SIA** Win 13-1 0 30 0% Ignored (Why) Aug 17th Ow My Knee 2024
59 League of Shadows Win 11-9 25.05 15 6.49% Counts Aug 17th Ow My Knee 2024
205 Buffalo Brain Freeze** Win 13-4 0 9 0% Ignored (Why) Aug 17th Ow My Knee 2024
136 Garbage Pla Win 12-10 -7.46 17 6.49% Counts Aug 18th Ow My Knee 2024
91 Mashed Win 11-9 10.24 15 6.49% Counts Aug 18th Ow My Knee 2024
38 Funk Loss 9-12 0.76 15 6.49% 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.