(1) #99 Bash Bros (6-11)

1042.71 (6)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
107 Fathom Win 12-8 23.82 3 5.39% Counts Aug 24th FCS Invite 2019
38 Lost Boys Loss 11-13 9.77 9 5.39% Counts Aug 24th FCS Invite 2019
120 baNC Win 13-9 17.78 7 5.39% Counts Aug 24th FCS Invite 2019
143 Space Cowboys Win 13-9 11.61 8 5.39% Counts Aug 24th FCS Invite 2019
102 Charleston Heat Stroke Win 14-12 12.12 7 5.39% Counts Aug 25th FCS Invite 2019
23 Vault Loss 8-13 4.83 4 5.39% Counts Aug 25th FCS Invite 2019
91 Richmond Floodwall Loss 10-14 -19.91 3 5.39% Counts Aug 25th FCS Invite 2019
29 Brickhouse Loss 5-15 -8.66 3 6.05% Counts (Why) Sep 7th North Carolina Mens Club Sectional Championship 2019
120 baNC Win 14-13 1.19 7 6.05% Counts Sep 7th North Carolina Mens Club Sectional Championship 2019
63 Turbine Loss 8-10 -3.31 9 5.89% Counts Sep 7th North Carolina Mens Club Sectional Championship 2019
29 Brickhouse Loss 10-15 0.77 3 6.05% Counts Sep 8th North Carolina Mens Club Sectional Championship 2019
120 baNC Win 15-9 26.34 7 6.05% Counts Sep 8th North Carolina Mens Club Sectional Championship 2019
63 Turbine Loss 1-9 -20.56 9 5.01% Counts (Why) Sep 8th North Carolina Mens Club Sectional Championship 2019
29 Brickhouse Loss 9-13 3.42 3 6.79% Counts Sep 21st Southeast Club Mens Regional Championship 2019
102 Charleston Heat Stroke Loss 9-13 -31.1 7 6.79% Counts Sep 21st Southeast Club Mens Regional Championship 2019
50 UpRoar Loss 7-13 -17.47 7 6.79% Counts Sep 21st Southeast Club Mens Regional Championship 2019
108 H.O.G. Ultimate Loss 12-13 -11.27 8 6.79% Counts Sep 22nd Southeast Club Mens Regional Championship 2019
**Blowout Eligible. Learn more about how this works here.

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.