(1) #107 BaNC (9-16)

775.64 (29)

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# Opponent Result Effect % of Ranking Status Date Event
108 Swamp Horse Loss 12-13 -3.91 2.94% Jun 16th ATL Classic 2018
75 Omen Loss 7-13 -10.31 2.94% Jun 16th ATL Classic 2018
- ATLiens Win 12-8 14.04 2.94% Jun 16th ATL Classic 2018
55 Ironmen Loss 8-11 0.33 2.94% Jun 16th ATL Classic 2018
114 Cockfight Loss 12-13 -4.15 2.94% Jun 17th ATL Classic 2018
145 Rampage Win 13-7 6.59 2.94% Jun 17th ATL Classic 2018
114 Cockfight Loss 3-7 -13.33 2.13% Jun 17th ATL Classic 2018
98 Southern Hospitality Win 12-8 20.52 3.84% Jul 21st Club Terminus 2018
23 Freaks Loss 10-13 15.85 3.84% Jul 21st Club Terminus 2018
41 Coastal Empire Loss 8-12 2.14 3.84% Jul 22nd Club Terminus 2018
165 War Machine Win 13-6 -2.88 3.84% Jul 22nd Club Terminus 2018
108 Swamp Horse Win 8-6 10.09 3.29% Jul 22nd Club Terminus 2018
55 Ironmen Loss 7-13 -7.22 3.84% Jul 22nd Club Terminus 2018
34 Lost Boys Loss 9-13 6.06 5.01% Aug 25th Rush Hour Round Robin 2018
102 H.O.G. Ultimate Loss 8-10 -10.8 4.87% Aug 25th Rush Hour Round Robin 2018
133 Holy City Heathens Win 12-9 9.28 5.01% Aug 25th Rush Hour Round Robin 2018
66 Bullet Loss 7-13 -15.37 5.01% Aug 25th Rush Hour Round Robin 2018
97 Rush Hour Loss 9-11 -9.16 5.01% Aug 26th Rush Hour Round Robin 2018
98 Southern Hospitality Loss 8-11 -15.4 5.01% Aug 26th Rush Hour Round Robin 2018
- Ra Win 13-5 1.25 5.57% Sep 8th North Carolina Mens Sectional Championship 2018
27 Turbine Loss 8-13 7.1 5.57% Sep 8th North Carolina Mens Sectional Championship 2018
- The Semple Temple** Win 13-4 0 0% Ignored Sep 8th North Carolina Mens Sectional Championship 2018
37 Brickhouse Loss 5-13 -5.16 5.57% Sep 8th North Carolina Mens Sectional Championship 2018
- Ra Win 13-7 -1.25 5.57% Sep 9th North Carolina Mens Sectional Championship 2018
37 Brickhouse Loss 9-13 5.55 5.57% Sep 9th North Carolina Mens Sectional 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.