(2) #21 Furious George (11-13)

1618.87 (14)

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# Opponent Result Effect % of Ranking Status Date Event
4 Truck Stop Loss 5-13 -8.51 3.08% Jul 8th TCT Pro Elite Challenge 2017
2 Sockeye Loss 7-13 -3.05 3.08% Jul 8th TCT Pro Elite Challenge 2017
20 Chain Lightning Win 12-8 14.08 3.08% Jul 8th TCT Pro Elite Challenge 2017
12 Doublewide Loss 9-12 -4.52 3.08% Jul 8th TCT Pro Elite Challenge 2017
13 PoNY Loss 10-12 -1.61 3.08% Jul 9th TCT Pro Elite Challenge 2017
22 Rhino Loss 11-13 -7.63 3.08% Jul 9th TCT Pro Elite Challenge 2017
29 Prairie Fire Win 12-11 -0.28 4.24% Aug 19th TCT Elite Select Challenge 2017
22 Rhino Win 12-10 10.06 4.24% Aug 19th TCT Elite Select Challenge 2017
12 Doublewide Loss 6-13 -17.58 4.24% Aug 19th TCT Elite Select Challenge 2017
18 Guerrilla Loss 10-13 -14.17 4.24% Aug 19th TCT Elite Select Challenge 2017
25 Inception Loss 10-11 -9.22 4.24% Aug 20th TCT Elite Select Challenge 2017
8 Chicago Machine Loss 7-13 -13.33 4.24% Aug 20th TCT Elite Select Challenge 2017
14 Sub Zero Win 17-15 18.83 4.72% Sep 2nd TCT Pro Championships 2017
2 Sockeye Loss 8-15 -5.11 4.72% Sep 2nd TCT Pro Championships 2017
16 SoCal Condors Win 15-13 17.7 4.72% Sep 2nd TCT Pro Championships 2017
1 Revolver Loss 10-15 3.39 4.72% Sep 3rd TCT Pro Championships 2017
18 Guerrilla Win 15-13 11.03 4.72% Sep 3rd TCT Pro Championships 2017
6 Johnny Bravo Loss 9-15 -11.78 4.72% Sep 3rd TCT Pro Championships 2017
71 PowderHogs Win 13-7 -0.33 5.54% Sep 23rd Northwest Mens Regionals 2017
36 Voodoo Win 13-8 17.68 5.54% Sep 23rd Northwest Mens Regionals 2017
34 Dark Star Win 13-8 18.24 5.54% Sep 23rd Northwest Mens Regionals 2017
91 Rip City Ultimate** Win 13-3 0 0% Ignored Sep 23rd Northwest Mens Regionals 2017
22 Rhino Loss 14-15 -7.99 5.54% Sep 24th Northwest Mens Regionals 2017
78 Ghost Train Win 15-9 -5.19 5.54% Sep 24th Northwest 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.