() #16 SoCal Condors (17-7) SW 2

1761.91 (6)

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# Opponent Result Effect % of Ranking Status Date Event
42 Phoenix Win 13-4 7.71 3.7% Jul 29th TCT Select Flight Invite 2017
27 Garden State Ultimate Win 14-8 10.49 3.7% Jul 29th TCT Select Flight Invite 2017
28 Brickyard Win 11-10 -5.71 3.7% Jul 29th TCT Select Flight Invite 2017
23 Pittsburgh Temper Win 14-13 -2.22 3.7% Jul 30th TCT Select Flight Invite 2017
10 GOAT Win 13-12 8.74 3.7% Jul 30th TCT Select Flight Invite 2017
25 Inception Win 12-10 0.46 3.7% Jul 30th TCT Select Flight Invite 2017
21 Furious George Loss 13-15 -18.15 4.84% Sep 2nd TCT Pro Championships 2017
2 Sockeye Loss 11-15 -3.18 4.84% Sep 2nd TCT Pro Championships 2017
14 Sub Zero Win 14-13 8.06 4.84% Sep 2nd TCT Pro Championships 2017
6 Johnny Bravo Loss 11-15 -12.52 4.84% Sep 3rd TCT Pro Championships 2017
2 Sockeye Loss 12-15 0.92 4.84% Sep 3rd TCT Pro Championships 2017
18 Guerrilla Loss 13-15 -17.72 4.84% Sep 3rd TCT Pro Championships 2017
52 Republic Win 13-9 -6.13 5.1% Sep 9th 2017 So Cal Mens Sectionals
157 Brawl** Win 13-1 0 0% Ignored Sep 9th 2017 So Cal Mens Sectionals
51 Sundowners Win 13-7 1.63 5.1% Sep 9th 2017 So Cal Mens Sectionals
169 Gridlock** Win 13-1 0 0% Ignored Sep 9th 2017 So Cal Mens Sectionals
52 Republic Win 13-8 -1.96 5.1% Sep 10th 2017 So Cal Mens Sectionals
38 Sprawl Win 13-11 -6.34 5.1% Sep 10th 2017 So Cal Mens Sectionals
1 Revolver Loss 8-13 -7.05 5.67% Sep 23rd Southwest Mens Regionals 2017
51 Sundowners Win 13-3 4.38 5.67% Sep 23rd Southwest Mens Regionals 2017
59 Green River Swordfish** Win 13-3 0 0% Ignored Sep 23rd Southwest Mens Regionals 2017
18 Guerrilla Win 15-10 19.18 5.67% Sep 23rd Southwest Mens Regionals 2017
1 Revolver Loss 12-15 4.72 5.67% Sep 24th Southwest Mens Regionals 2017
18 Guerrilla Win 15-11 14.83 5.67% Sep 24th Southwest Mens Regionals 2017
**Blowout Eligible

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.