(2) #31 Prairie Fire (6-12)

1580.63 (9)

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# Opponent Result Effect % of Ranking Status Date Event
60 Scythe Win 13-6 17.63 4.82% Counts (Why) Jun 22nd Fort Collins Summer Solstice 2019
71 ISO Atmo Win 13-2 11.55 4.82% Counts (Why) Jun 22nd Fort Collins Summer Solstice 2019
105 PowderHogs Win 13-9 -6.25 4.82% Counts Jun 22nd Fort Collins Summer Solstice 2019
37 Johnny Encore Win 12-11 4.32 4.82% Counts Jun 22nd Fort Collins Summer Solstice 2019
42 Inception Win 14-8 21.98 4.82% Counts (Why) Jun 23rd Fort Collins Summer Solstice 2019
13 Johnny Bravo Loss 8-15 -8.05 4.82% Counts Jun 23rd Fort Collins Summer Solstice 2019
2 Sockeye** Loss 5-13 0 0% Ignored (Why) Jul 13th TCT Pro Elite Challenge 2019
9 Sub Zero Loss 7-13 -2.46 5.65% Counts Jul 13th TCT Pro Elite Challenge 2019
8 GOAT Loss 9-13 6.22 5.65% Counts Jul 13th TCT Pro Elite Challenge 2019
4 SoCal Condors Loss 8-13 5.39 5.65% Counts Jul 14th TCT Pro Elite Challenge 2019
18 Patrol Loss 10-12 2.41 5.65% Counts Jul 14th TCT Pro Elite Challenge 2019
22 Voodoo Loss 7-13 -23.13 5.65% Counts Jul 14th TCT Pro Elite Challenge 2019
4 SoCal Condors Loss 6-15 -1.1 7.38% Counts (Why) Aug 17th TCT Elite Select Challenge 2019
16 Chain Lightning Loss 7-15 -20.26 7.38% Counts (Why) Aug 17th TCT Elite Select Challenge 2019
47 Red Circus Win 15-8 34.58 7.38% Counts (Why) Aug 17th TCT Elite Select Challenge 2019
23 Brickyard Loss 7-10 -16.39 6.98% Counts Aug 18th TCT Elite Select Challenge 2019
18 Patrol Loss 8-10 1.22 7.18% Counts Aug 18th TCT Elite Select Challenge 2019
22 Voodoo Loss 5-10 -28.24 6.56% Counts Aug 18th TCT Elite Select Challenge 2019
**Blowout Eligible. Learn more about how this works here.

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.