(1) #10 Doublewide (12-10) SC 1

1812.48 (15)

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# Opponent Result Effect % of Ranking Status Date Event
16 Madison Club Loss 10-13 -15.51 3.35% Jul 7th TCT Pro Elite Challenge 2018
25 Medicine Men Win 13-9 0.4 3.35% Jul 7th TCT Pro Elite Challenge 2018
2 Sockeye Loss 11-13 -0.21 3.35% Jul 7th TCT Pro Elite Challenge 2018
7 Chicago Machine Loss 9-12 -10.83 3.35% Jul 8th TCT Pro Elite Challenge 2018
8 Sub Zero Win 13-8 17.78 3.35% Jul 8th TCT Pro Elite Challenge 2018
13 Johnny Bravo Loss 10-13 -12.61 3.35% Jul 8th TCT Pro Elite Challenge 2018
20 Patrol Win 13-6 11.36 3.35% Jul 8th TCT Pro Elite Challenge 2018
1 Revolver Loss 10-15 -8.06 4.14% Aug 3rd 2018 US Open Club Championships
5 Truck Stop Loss 9-15 -16.9 4.14% Aug 3rd 2018 US Open Club Championships
3 PoNY Win 15-12 22.44 4.14% Aug 4th 2018 US Open Club Championships
82 Riverside** Win 13-4 0 0% Ignored Sep 22nd South Central Mens Regional Championship 2018
130 Syndicate** Win 13-3 0 0% Ignored Sep 22nd South Central Mens Regional Championship 2018
79 Papa Bear** Win 13-4 0 0% Ignored Sep 22nd South Central Mens Regional Championship 2018
43 Clutch Win 15-5 2.7 6.02% Sep 22nd South Central Mens Regional Championship 2018
13 Johnny Bravo Win 15-14 5.69 6.02% Sep 23rd South Central Mens Regional Championship 2018
2 Sockeye Loss 11-14 -7.29 7.45% Oct 18th USA Ultimate National Championships 2018
11 DiG Loss 13-15 -18.46 7.45% Oct 18th USA Ultimate National Championships 2018
18 Pittsburgh Temper Win 15-12 12.82 7.45% Oct 18th USA Ultimate National Championships 2018
4 Ring of Fire Loss 10-14 -17.49 7.45% Oct 19th USA Ultimate National Championships 2018
7 Chicago Machine Win 15-8 48.05 7.45% Oct 19th USA Ultimate National Championships 2018
13 Johnny Bravo Win 15-14 7.16 7.45% Oct 19th USA Ultimate National Championships 2018
5 Truck Stop Loss 11-15 -20.66 7.45% Oct 20th USA Ultimate National Championships 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.