(1) #11 Johnny Bravo (13-5) SC 1

1898.7 (31)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
90 Choice City Hops** Win 13-4 0 48 0% Ignored (Why) Jun 22nd Fort Collins Summer Solstice 2019
39 Inception Win 12-11 -18.67 3 4.94% Counts Jun 22nd Fort Collins Summer Solstice 2019
138 Colorado Cutthroat: Youth Club U-20 Boys** Win 13-3 0 217 0% Ignored (Why) Jun 22nd Fort Collins Summer Solstice 2019
105 Johnny Walker Win 13-7 -16.45 29 4.94% Counts (Why) Jun 22nd Fort Collins Summer Solstice 2019
31 Johnny Encore Win 15-10 4.08 33 4.94% Counts Jun 23rd Fort Collins Summer Solstice 2019
32 Prairie Fire Win 15-8 9.37 5 4.94% Counts (Why) Jun 23rd Fort Collins Summer Solstice 2019
18 Patrol Win 13-9 15.9 57 5.8% Counts Jul 13th TCT Pro Elite Challenge 2019
9 SoCal Condors Loss 13-14 -3.28 135 5.8% Counts Jul 13th TCT Pro Elite Challenge 2019
3 PoNY Loss 8-13 -13.97 38 5.8% Counts Jul 13th TCT Pro Elite Challenge 2019
15 Rhino Slam! Loss 9-13 -28.55 47 5.8% Counts Jul 14th TCT Pro Elite Challenge 2019
6 Sub Zero Loss 8-13 -20.42 30 5.8% Counts Jul 14th TCT Pro Elite Challenge 2019
19 Voodoo Win 11-10 -2.35 39 5.8% Counts Jul 14th TCT Pro Elite Challenge 2019
33 Freaks Win 15-8 13.57 4 7.57% Counts (Why) Aug 17th TCT Elite Select Challenge 2019
30 Black Market I Win 15-8 16.51 0 7.57% Counts (Why) Aug 17th TCT Elite Select Challenge 2019
10 DiG Win 14-13 15.84 32 7.57% Counts Aug 17th TCT Elite Select Challenge 2019
16 Chain Lightning Win 10-9 5.18 40 7.57% Counts Aug 18th TCT Elite Select Challenge 2019
12 Pittsburgh Temper Win 11-8 29.23 36 7.57% Counts Aug 18th TCT Elite Select Challenge 2019
9 SoCal Condors Loss 10-11 -4.37 135 7.57% Counts Aug 18th TCT Elite Select Challenge 2019
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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.