(1) #17 SoCal Condors (16-6)

1681.02 (25)

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# Opponent Result Effect % of Ranking Status Date Event
12 Rhino Slam Loss 8-13 -14.83 3.6% Jul 7th TCT Pro Elite Challenge 2018
11 DiG Loss 8-13 -14.18 3.6% Jul 7th TCT Pro Elite Challenge 2018
13 Johnny Bravo Loss 9-13 -12.06 3.6% Jul 7th TCT Pro Elite Challenge 2018
5 Truck Stop Win 13-9 25.16 3.6% Jul 8th TCT Pro Elite Challenge 2018
16 Madison Club Loss 11-13 -8.11 3.6% Jul 8th TCT Pro Elite Challenge 2018
25 Medicine Men Win 10-9 -5.61 3.6% Jul 8th TCT Pro Elite Challenge 2018
27 Turbine Win 14-12 -3.54 4.95% Aug 18th TCT Elite Select Challenge 2018
18 Pittsburgh Temper Win 13-8 25.35 4.95% Aug 18th TCT Elite Select Challenge 2018
20 Patrol Win 13-11 4.61 4.95% Aug 18th TCT Elite Select Challenge 2018
14 GOAT Win 13-8 27.63 4.95% Aug 19th TCT Elite Select Challenge 2018
2 Sockeye Loss 6-13 -12.81 4.95% Aug 19th TCT Elite Select Challenge 2018
74 DOGGPOUND Win 11-5 -4.72 5.33% Sep 8th So Cal Mens Sectional Championship 2018
81 Sundowners Win 11-5 -7.51 5.33% Sep 8th So Cal Mens Sectional Championship 2018
40 Streetgang Win 11-7 3.66 5.66% Sep 8th So Cal Mens Sectional Championship 2018
40 Streetgang Win 13-8 5.57 5.81% Sep 9th So Cal Mens Sectional Championship 2018
91 Sprawl Win 11-7 -18.99 5.66% Sep 9th So Cal Mens Sectional Championship 2018
144 Gridlock** Win 11-2 0 0% Ignored Sep 9th So Cal Mens Sectional Championship 2018
74 DOGGPOUND Win 15-7 -5.79 6.47% Sep 22nd Southwest Mens Regional Championship 2018
86 Green River Swordfish** Win 15-5 0 0% Ignored Sep 22nd Southwest Mens Regional Championship 2018
40 Streetgang Win 15-11 -1.71 6.47% Sep 22nd Southwest Mens Regional Championship 2018
1 Revolver Loss 11-15 1.21 6.47% Sep 23rd Southwest Mens Regional Championship 2018
19 Guerrilla Win 15-11 17.15 6.47% Sep 23rd Southwest Mens Regional Championship 2018
**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.