(1) #222 LRU (3-3)

339.9 (1)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
228 Scoober Heroes Win 9-4 99.58 3 14.87% Counts (Why) Aug 26th Ragna Rock 2023
123 Amber Loss 8-13 28.18 17 17.98% Counts Aug 26th Ragna Rock 2023
220 Hairy Otter Loss 6-13 -123.74 14 17.98% Counts (Why) Aug 26th Ragna Rock 2023
228 Scoober Heroes Win 8-6 49.38 3 15.43% Counts Aug 27th Ragna Rock 2023
204 New Orleans Boil Loss 6-10 -65.57 19 16.5% Counts Aug 27th Ragna Rock 2023
251 Trophic Cascade Win 12-5 7.98 41 17.25% Counts (Why) Aug 27th Ragna Rock 2023
**Blowout Eligible. Learn more about how this works here.


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.