() #27 Turbine (13-7)

1392.19 (33)

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# Opponent Result Effect % of Ranking Status Date Event
169 Bearfest** Win 11-1 0 0% Ignored Jul 28th 2018 Richmond Stonewalled
135 Helots** Win 11-3 0 0% Ignored Jul 28th 2018 Richmond Stonewalled
52 Oakgrove Boys Win 11-3 20.02 4.83% Jul 28th 2018 Richmond Stonewalled
136 Pipeline** Win 11-3 0 0% Ignored Jul 28th 2018 Richmond Stonewalled
33 Richmond Floodwall Win 13-6 30.61 5.26% Jul 29th 2018 Richmond Stonewalled
76 Slag Dump Win 13-3 11.03 5.26% Jul 29th 2018 Richmond Stonewalled
20 Patrol Loss 12-13 1.55 6.17% Aug 18th TCT Elite Select Challenge 2018
18 Pittsburgh Temper Loss 6-13 -21.1 6.17% Aug 18th TCT Elite Select Challenge 2018
17 SoCal Condors Loss 12-14 4.47 6.17% Aug 18th TCT Elite Select Challenge 2018
26 Brickyard Win 10-8 17.21 6.01% Aug 19th TCT Elite Select Challenge 2018
22 Voodoo Loss 8-12 -21.63 6.17% Aug 19th TCT Elite Select Challenge 2018
107 BaNC Win 13-8 -9.4 7.24% Sep 8th North Carolina Mens Sectional Championship 2018
37 Brickhouse Win 13-8 30.62 7.24% Sep 8th North Carolina Mens Sectional Championship 2018
- Ra** Win 13-5 0 0% Ignored Sep 8th North Carolina Mens Sectional Championship 2018
- The Semple Temple** Win 13-3 0 0% Ignored Sep 8th North Carolina Mens Sectional Championship 2018
37 Brickhouse Win 12-7 32.52 7.24% Sep 9th North Carolina Mens Sectional Championship 2018
71 UpRoar Loss 11-13 -52.39 8.06% Sep 22nd Southeast Mens Regional Championship 2018
75 Omen Win 12-9 -4.74 8.06% Sep 22nd Southeast Mens Regional Championship 2018
41 Coastal Empire Loss 11-12 -21.63 8.06% Sep 22nd Southeast Mens Regional Championship 2018
23 Freaks Loss 10-13 -19.21 8.06% Sep 22nd Southeast 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.