() #104 Black Lung (11-12)

808.72 (32)

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# Opponent Result Effect % of Ranking Status Date Event
97 Rush Hour Win 13-7 21.36 3.44% Jul 21st Club Terminus 2018
15 Chain Lightning Loss 6-13 10.11 3.44% Jul 21st Club Terminus 2018
165 War Machine Win 13-6 -3.75 3.44% Jul 21st Club Terminus 2018
66 Bullet Loss 10-12 -0.19 3.44% Jul 22nd Club Terminus 2018
23 Freaks** Loss 5-13 0 0% Ignored Jul 22nd Club Terminus 2018
61 Tanasi Loss 6-13 -11.13 3.44% Jul 22nd Club Terminus 2018
106 Battleship Win 13-10 13.21 4.25% Aug 18th Trestlemania III
108 Swamp Horse Win 13-11 8.51 4.25% Aug 18th Trestlemania III
128 Vicious Cycle Win 13-3 19.52 4.25% Aug 18th Trestlemania III
114 Cockfight Win 12-11 3.54 4.25% Aug 18th Trestlemania III
71 UpRoar Loss 9-13 -9.07 4.25% Aug 19th Trestlemania III
102 H.O.G. Ultimate Win 13-11 11 4.25% Aug 19th Trestlemania III
149 Chimney Win 13-6 7.27 4.99% Sep 8th East Plains Mens Sectional Championship 2018
36 CLE Smokestack Loss 5-13 -5.73 4.99% Sep 8th East Plains Mens Sectional Championship 2018
65 Mango Tree Loss 6-13 -19.16 4.99% Sep 8th East Plains Mens Sectional Championship 2018
146 Dirty D Win 11-10 -14.21 4.99% Sep 9th East Plains Mens Sectional Championship 2018
136 Pipeline Win 10-8 1.78 4.86% Sep 9th East Plains Mens Sectional Championship 2018
51 BroCats Loss 1-15 -11.5 4.99% Sep 9th East Plains Mens Sectional Championship 2018
26 Brickyard Loss 8-13 5.53 5.55% Sep 22nd Great Lakes Mens Regional Championship 2018
56 Haymaker Loss 5-13 -16.37 5.55% Sep 22nd Great Lakes Mens Regional Championship 2018
121 BlackER Market Loss 7-10 -27.28 5.25% Sep 22nd Great Lakes Mens Regional Championship 2018
116 Greater Gary Goblins X Win 15-10 22.7 5.55% Sep 23rd Great Lakes Mens Regional Championship 2018
90 Omen Loss 14-16 -6.82 5.55% Sep 23rd Great Lakes Mens Regional Championship 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.