() #1 Revolver (20-3) SW 1

2140.81 (64)

Click on column to sort  • 
# Opponent Result Effect % of Ranking Status Date Event
17 Madison Club Win 13-7 2.82 3.57% Jul 8th TCT Pro Elite Challenge 2017
22 Rhino Win 13-11 -11.26 3.57% Jul 8th TCT Pro Elite Challenge 2017
15 Patrol Win 13-9 2.15 3.57% Jul 8th TCT Pro Elite Challenge 2017
12 Doublewide Win 13-9 3.7 3.57% Jul 9th TCT Pro Elite Challenge 2017
2 Sockeye Win 13-11 6.24 3.57% Jul 9th TCT Pro Elite Challenge 2017
4 Truck Stop Win 13-7 13.62 3.57% Jul 9th TCT Pro Elite Challenge 2017
3 Ring of Fire Win 15-11 10.29 4.42% Aug 4th 2017 US Open Club Championships
2 Sockeye Loss 15-17 -12.18 4.42% Aug 4th 2017 US Open Club Championships
7 HIGH FIVE Win 15-11 6.22 4.42% Aug 5th 2017 US Open Club Championships
14 Sub Zero Win 15-8 10.15 4.42% Aug 5th 2017 US Open Club Championships
6 Johnny Bravo Win 15-9 12.54 4.42% Aug 5th 2017 US Open Club Championships
2 Sockeye Loss 10-15 -23.76 4.42% Aug 6th 2017 US Open Club Championships
8 Chicago Machine Loss 12-15 -32.73 5.47% Sep 2nd TCT Pro Championships 2017
18 Guerrilla Win 15-12 -12.33 5.47% Sep 2nd TCT Pro Championships 2017
6 Johnny Bravo Win 15-9 15.7 5.47% Sep 2nd TCT Pro Championships 2017
14 Sub Zero Win 15-9 9.85 5.47% Sep 3rd TCT Pro Championships 2017
21 Furious George Win 15-10 -3.95 5.47% Sep 3rd TCT Pro Championships 2017
8 Chicago Machine Win 15-10 10.9 5.47% Sep 4th TCT Pro Championships 2017
59 Green River Swordfish** Win 13-2 0 0% Ignored Sep 23rd Southwest Mens Regionals 2017
51 Sundowners** Win 13-1 0 0% Ignored Sep 23rd Southwest Mens Regionals 2017
16 SoCal Condors Win 13-8 8.04 6.42% Sep 23rd Southwest Mens Regionals 2017
38 Sprawl Win 15-8 -11.03 6.42% Sep 23rd Southwest Mens Regionals 2017
16 SoCal Condors Win 15-12 -5.38 6.42% 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.