(3) #92 BaNC (13-14)

938.43 (64)

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# Opponent Result Effect % of Ranking Status Date Event
45 Ironmen Loss 5-13 -7.47 3.12% Jun 17th ATL Classic 2017
58 Bullet Loss 6-13 -12.27 3.12% Jun 17th ATL Classic 2017
108 Holy City Heathens Win 13-7 14.97 3.12% Jun 17th ATL Classic 2017
100 Chattanooga Gentlemen's Club Loss 12-13 -5.32 3.12% Jun 17th ATL Classic 2017
95 Omen Loss 7-13 -18.35 3.12% Jun 18th ATL Classic 2017
137 H.O.G. Ultimate Win 13-8 4.38 3.12% Jun 18th ATL Classic 2017
100 Chattanooga Gentlemen's Club Win 13-8 14.71 3.12% Jun 18th ATL Classic 2017
151 Shrimp Boat Win 13-7 1.18 4.08% Jul 22nd Club Terminus 2017
20 Chain Lightning** Loss 4-13 0 0% Ignored Jul 22nd Club Terminus 2017
82 Rush Hour Loss 10-12 -7.61 4.08% Jul 22nd Club Terminus 2017
46 Lost Boys Loss 4-13 -9.98 4.08% Jul 22nd Club Terminus 2017
100 Chattanooga Gentlemen's Club Win 13-9 16.09 4.08% Jul 23rd Club Terminus 2017
94 Cerberus Win 11-9 10.49 4.08% Jul 23rd Club Terminus 2017
60 Kentucky Flying Circus Loss 7-12 -13.19 4.08% Jul 23rd Club Terminus 2017
95 Omen Win 15-10 21 4.54% Aug 5th Trestlemania 2017
122 UpRoar Win 12-10 1.59 4.54% Aug 5th Trestlemania 2017
167 Hammerhead Win 15-8 -11.78 4.54% Aug 5th Trestlemania 2017
- CerB WerB-B** Win 15-4 0 0% Ignored Aug 5th Trestlemania 2017
167 Hammerhead** Win 15-4 0 0% Ignored Aug 6th Trestlemania 2017
94 Cerberus Loss 12-13 -6.06 4.54% Aug 6th Trestlemania 2017
- Right Coast Win 12-9 31.77 5.92% Sep 9th 2017 North Carolina Mens Sectionals
- Right Coast Loss 7-10 -14.5 5.92% Sep 9th 2017 North Carolina Mens Sectionals
37 Turbine Loss 5-13 -7.42 5.92% Sep 9th 2017 North Carolina Mens Sectionals
56 Brickhouse Loss 9-13 -10.84 5.92% Sep 9th 2017 North Carolina Mens Sectionals
3 Ring of Fire** Loss 5-13 0 0% Ignored Sep 9th 2017 North Carolina Mens Sectionals
- Honey Bashfords Win 12-7 0 5.92% Sep 10th 2017 North Carolina Mens Sectionals
26 Cash Crop Loss 9-13 9 5.92% Sep 10th 2017 North Carolina Mens Sectionals
**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.