() #10 Pittsburgh Temper (5-1) MA 3

2195.56 ()

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
68 Drought Win 15-8 -77.91 16.67% Counts (Why) Jul 12th 2025 Select Flight Invite East
29 Shade Win 12-8 21.9 1038 16.67% Counts Jul 12th 2025 Select Flight Invite East
30 Flying Dutchmen Loss 11-12 -94.93 933 16.67% Counts Jul 13th 2025 Select Flight Invite East
15 GOAT Win 15-11 59.92 663 16.67% Counts Jul 13th 2025 Select Flight Invite East
33 Oak Grove Boys Win 13-6 37.35 1012 16.67% Counts (Why) Jul 13th 2025 Select Flight Invite East
29 Shade Win 13-4 53.67 1038 16.67% Counts (Why) Jul 13th 2025 Select Flight Invite East
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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.