(6) #84 FlyTrap (13-8)

1217.77 (2)

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# Opponent Result Effect % of Ranking Status Date Event
21 Columbus Cocktails Loss 4-13 -1.87 3.98% Counts (Why) Jun 22nd Summer Glazed Daze 2019
16 Weird Loss 10-13 11.06 3.98% Counts Jun 22nd Summer Glazed Daze 2019
59 8 Bit Heroes Win 13-8 27.42 3.98% Counts Jun 22nd Summer Glazed Daze 2019
43 Murmur Loss 7-13 -11.29 3.98% Counts Jun 23rd Summer Glazed Daze 2019
116 Legion Win 12-10 2.14 3.98% Counts Jun 23rd Summer Glazed Daze 2019
55 Malice in Wonderland Loss 8-13 -12.08 3.98% Counts Jun 23rd Summer Glazed Daze 2019
100 Rat City Win 12-8 13.1 3.98% Counts Jun 23rd Summer Glazed Daze 2019
166 Piedmont United Win 13-6 7.32 4.67% Counts (Why) Jul 13th Hometown Mix Up 2019
155 Possum Win 13-2 9.8 4.67% Counts (Why) Jul 13th Hometown Mix Up 2019
246 Rampage Win 13-6 -19.7 4.67% Counts (Why) Jul 13th Hometown Mix Up 2019
102 Seoulmates Win 13-8 17.93 4.67% Counts Jul 13th Hometown Mix Up 2019
169 APEX Win 13-5 5.88 4.67% Counts (Why) Jul 14th Hometown Mix Up 2019
115 NC Galaxy Win 8-7 -2.62 4.15% Counts Jul 14th Hometown Mix Up 2019
35 Superlame Loss 4-13 -10.22 4.67% Counts (Why) Jul 14th Hometown Mix Up 2019
47 Huntsville Outlaws Loss 7-13 -18.46 5.78% Counts Aug 10th HoDown ShowDown 23 GOAT
168 Moonshine Win 13-6 8.08 5.78% Counts (Why) Aug 10th HoDown ShowDown 23 GOAT
138 Goose Lee Win 12-6 17.44 5.62% Counts (Why) Aug 10th HoDown ShowDown 23 GOAT
77 Tyrannis Win 13-12 10.32 5.78% Counts Aug 10th HoDown ShowDown 23 GOAT
68 JLP Loss 12-15 -12.87 5.78% Counts Aug 11th HoDown ShowDown 23 GOAT
137 BATL Cows Loss 9-11 -32.66 5.78% Counts Aug 11th HoDown ShowDown 23 GOAT
138 Goose Lee Win 9-8 -9.35 5.47% Counts Aug 11th HoDown ShowDown 23 GOAT
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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.