(2) #108 B-Unit (7-10)

929.75 (10)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
132 New Orleans Boil Win 10-9 0.55 13 4.08% Counts Jul 9th Terminus 2022
46 Crown Peach Loss 5-7 2.39 10 3.25% Counts Jul 9th Terminus 2022
114 Too Much Fun Win 10-9 4.76 6 4.08% Counts Jul 9th Terminus 2022
87 m'kay Ultimate Win 12-11 10.12 11 4.08% Counts Jul 10th Terminus 2022
30 Roma Ultima Loss 6-13 -2.87 10 4.08% Counts (Why) Jul 10th Terminus 2022
46 Crown Peach Loss 8-13 -4.12 10 4.08% Counts Jul 10th Terminus 2022
187 Jackpot Win 13-4 8.84 10 6.6% Counts (Why) Sep 10th 2022 Florida Mixed Sectional Championship
62 Weird Loss 6-10 -14.75 8 6.06% Counts Sep 10th 2022 Florida Mixed Sectional Championship
180 Baywatch Win 13-6 14.05 13 6.6% Counts (Why) Sep 10th 2022 Florida Mixed Sectional Championship
134 904 Shipwreck Win 12-7 28.1 8 6.6% Counts (Why) Sep 11th 2022 Florida Mixed Sectional Championship
62 Weird Win 10-8 36.39 8 6.42% Counts Sep 11th 2022 Florida Mixed Sectional Championship
6 Toro Loss 8-15 25.56 5 7.34% Counts Sep 24th 2022 Southeast Mixed Regional Championship
80 Magic City Mayhem Loss 11-12 0.92 13 7.34% Counts Sep 24th 2022 Southeast Mixed Regional Championship
62 Weird Loss 6-13 -26.36 8 7.34% Counts (Why) Sep 24th 2022 Southeast Mixed Regional Championship
48 HeyDay Loss 7-12 -10.83 11 7.34% Counts Sep 24th 2022 Southeast Mixed Regional Championship
80 Magic City Mayhem Loss 10-15 -25.12 13 7.34% Counts Sep 25th 2022 Southeast Mixed Regional Championship
114 Too Much Fun Loss 0-15 -48.59 6 7.34% Counts (Why) Sep 25th 2022 Southeast Mixed Regional Championship
**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.