() #3 Ring of Fire (21-3) SE 1

1982.21 (48)

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# Opponent Result Effect % of Ranking Status Date Event
1 Revolver Loss 11-15 -10.07 4.33% Aug 4th 2017 US Open Club Championships
14 Sub Zero Loss 12-15 -22.04 4.33% Aug 4th 2017 US Open Club Championships
7 HIGH FIVE Win 15-14 1.67 4.33% Aug 4th 2017 US Open Club Championships
2 Sockeye Win 15-13 14.14 4.33% Aug 5th 2017 US Open Club Championships
7 HIGH FIVE Win 15-14 1.67 4.33% Aug 6th 2017 US Open Club Championships
15 Patrol Win 13-10 7.16 5.36% Sep 2nd New York Invite 2017
19 Medicine Men Win 13-5 13.73 5.36% Sep 2nd New York Invite 2017
10 GOAT Win 13-8 21.42 5.36% Sep 2nd New York Invite 2017
9 Dig Loss 13-14 -13.27 5.36% Sep 2nd New York Invite 2017
15 Patrol Win 15-8 20.56 5.36% Sep 3rd New York Invite 2017
4 Truck Stop Win 15-14 5.32 5.36% Sep 3rd New York Invite 2017
17 Madison Club Win 15-9 10.91 5.36% Sep 3rd New York Invite 2017
56 Brickhouse Win 13-6 -11.83 5.65% Sep 9th 2017 North Carolina Mens Sectionals
92 BaNC** Win 13-5 0 0% Ignored Sep 9th 2017 North Carolina Mens Sectionals
- Honey Bashfords** Win 13-4 0 0% Ignored Sep 9th 2017 North Carolina Mens Sectionals
26 Cash Crop Win 13-11 -15.18 5.65% Sep 9th 2017 North Carolina Mens Sectionals
- Right Coast Win 13-9 -27.91 5.65% Sep 10th 2017 North Carolina Mens Sectionals
37 Turbine Win 13-7 -0.25 5.65% Sep 10th 2017 North Carolina Mens Sectionals
26 Cash Crop Win 13-8 0.84 5.65% Sep 10th 2017 North Carolina Mens Sectionals
95 Omen** Win 13-4 0 0% Ignored Sep 23rd Southeast Mens Regionals 2017
115 War Machine** Win 13-2 0 0% Ignored Sep 23rd Southeast Mens Regionals 2017
24 Freaks Win 15-11 -3.64 6.29% Sep 23rd Southeast Mens Regionals 2017
45 Ironmen** Win 13-4 0 0% Ignored Sep 23rd Southeast Mens Regionals 2017
11 Florida United Win 12-10 6.91 6.29% Sep 24th Southeast 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.