(4) #13 PoNY (15-10) NE 4

1806.38 (104)

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# Opponent Result Effect % of Ranking Status Date Event
12 Doublewide Loss 13-15 -5.73 2.81% Jul 8th TCT Pro Elite Challenge 2017
5 Ironside Loss 11-12 0.36 2.81% Jul 8th TCT Pro Elite Challenge 2017
8 Chicago Machine Win 11-10 5.61 2.81% Jul 8th TCT Pro Elite Challenge 2017
2 Sockeye Loss 10-13 -1.56 2.81% Jul 8th TCT Pro Elite Challenge 2017
21 Furious George Win 12-10 1.46 2.81% Jul 9th TCT Pro Elite Challenge 2017
15 Patrol Win 12-11 2.86 2.81% Jul 9th TCT Pro Elite Challenge 2017
50 Big Wrench Win 13-2 1.6 3.87% Aug 19th TCT Elite Select Challenge 2017
19 Medicine Men Loss 11-13 -16.51 3.87% Aug 19th TCT Elite Select Challenge 2017
14 Sub Zero Loss 9-12 -14.32 3.87% Aug 19th TCT Elite Select Challenge 2017
8 Chicago Machine Win 13-8 22.74 3.87% Aug 19th TCT Elite Select Challenge 2017
9 Dig Loss 9-13 -14.16 3.87% Aug 20th TCT Elite Select Challenge 2017
12 Doublewide Win 12-9 14.52 3.87% Aug 20th TCT Elite Select Challenge 2017
18 Guerrilla Win 13-8 12.75 3.87% Aug 20th TCT Elite Select Challenge 2017
23 Pittsburgh Temper Win 13-10 4.53 4.3% Sep 2nd New York Invite 2017
5 Ironside Win 12-11 11.8 4.3% Sep 2nd New York Invite 2017
4 Truck Stop Loss 13-14 0.89 4.3% Sep 2nd New York Invite 2017
17 Madison Club Win 13-9 12.21 4.3% Sep 2nd New York Invite 2017
15 Patrol Loss 13-15 -10.79 4.3% Sep 3rd New York Invite 2017
10 GOAT Win 13-9 21.42 4.3% Sep 3rd New York Invite 2017
61 Club M - Manic Win 13-8 -9.03 5.05% Sep 23rd Northeast Mens Regionals 2017
72 Shade Win 13-9 -18.19 5.05% Sep 23rd Northeast Mens Regionals 2017
33 Colt Win 13-7 10.3 5.05% Sep 23rd Northeast Mens Regionals 2017
9 Dig Loss 10-15 -20.58 5.05% Sep 23rd Northeast Mens Regionals 2017
10 GOAT Loss 10-15 -21.03 5.05% Sep 24th Northeast Mens Regionals 2017
32 Mockingbird Win 15-9 8.51 5.05% Sep 24th Northeast 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.