(1) #78 Sawtooth (10-9)

1261.94 (17)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
20 Dark Star-D Loss 8-13 3.36 17 4.61% Counts Jun 22nd Eugene Summer Solstice 2024
89 Make it Rain Loss 9-10 -9.95 80 4.61% Counts Jun 22nd Eugene Summer Solstice 2024
5 Sockeye** Loss 3-13 0 22 0% Ignored (Why) Jun 22nd Eugene Summer Solstice 2024
53 Switchback Loss 10-13 -5.78 10 4.61% Counts Jun 22nd Eugene Summer Solstice 2024
120 Heartbreak Win 13-11 -2.32 170 4.61% Counts Jun 23rd Eugene Summer Solstice 2024
64 Junco Loss 9-13 -14.94 21 4.61% Counts Jun 23rd Eugene Summer Solstice 2024
123 Seven Gills Win 13-8 9.59 67 4.61% Counts Jun 23rd Eugene Summer Solstice 2024
85 Green River Swordfish Win 12-9 18.41 32 6.16% Counts Jul 27th TCT Select Flight Invite West 2024
49 OAT Loss 10-15 -14.88 9 6.16% Counts Jul 27th TCT Select Flight Invite West 2024
53 Switchback Loss 8-15 -23.38 10 6.16% Counts Jul 27th TCT Select Flight Invite West 2024
100 Drought Win 15-9 23.49 23 6.16% Counts Jul 28th TCT Select Flight Invite West 2024
123 Seven Gills Win 13-6 19.83 67 6.16% Counts (Why) Jul 28th TCT Select Flight Invite West 2024
134 Surf Win 15-11 2.83 10 6.16% Counts Jul 28th TCT Select Flight Invite West 2024
167 Battery Win 8-5 -3.72 18 6.06% Counts (Why) Aug 17th Ski Town Classic 2024
75 Brawl Loss 11-12 -7.08 28 7.32% Counts Aug 17th Ski Town Classic 2024
145 Carbon Win 13-2 16.36 16 7.32% Counts (Why) Aug 17th Ski Town Classic 2024
217 Anchor** Win 13-3 0 18 0% Ignored (Why) Aug 18th Ski Town Classic 2024
145 Carbon Win 13-2 16.36 16 7.32% Counts (Why) Aug 18th Ski Town Classic 2024
113 Nighthawk Loss 10-11 -27.87 21 7.32% Counts Aug 18th Ski Town Classic 2024
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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.