(2) #85 Pesterbug (11-10)

930.2 (37)

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# Opponent Result Effect % of Ranking Status Date Event
57 Shade Loss 11-12 1.75 3.74% Jun 23rd Boston Invite 2018
34 Lost Boys Loss 8-15 -7.23 3.74% Jun 23rd Boston Invite 2018
62 Club M - Manic Loss 14-16 -2.13 3.74% Jun 23rd Boston Invite 2018
105 Bruises Win 15-9 14.6 3.74% Jun 24th Boston Invite 2018
- Allen's Adolescents** Win 13-1 0 0% Ignored Jul 21st Vacationland 2018
138 Ender's Outcasts Win 13-10 -3.66 4.63% Jul 21st Vacationland 2018
131 Somerville BAG Win 13-7 12.43 4.63% Jul 21st Vacationland 2018
156 One Night** Win 13-4 0 0% Ignored Jul 21st Vacationland 2018
94 Red Tide Loss 11-13 -13.49 4.63% Jul 21st Vacationland 2018
105 Bruises Loss 10-13 -22.76 4.63% Jul 22nd Vacationland 2018
134 Watch City Win 11-6 9.42 4.38% Jul 22nd Vacationland 2018
105 Bruises Loss 9-13 -40.33 6.73% Sep 8th East New England Mens Sectional Championship 2018
29 Big Wrench Loss 10-13 8.62 6.73% Sep 8th East New England Mens Sectional Championship 2018
134 Watch City Win 13-5 18.67 6.73% Sep 8th East New England Mens Sectional Championship 2018
156 One Night Win 13-6 -2.27 6.73% Sep 8th East New England Mens Sectional Championship 2018
122 Baked Beans Win 13-4 26.87 6.73% Sep 9th East New England Mens Sectional Championship 2018
105 Bruises Win 13-9 20.09 6.73% Sep 9th East New England Mens Sectional Championship 2018
138 Ender's Outcasts Win 13-8 6.69 6.73% Sep 9th East New England Mens Sectional Championship 2018
14 GOAT** Loss 2-15 0 0% Ignored Sep 22nd Northeast Mens Regional Championship 2018
28 Phoenix Loss 9-15 -5.32 7.49% Sep 22nd Northeast Mens Regional Championship 2018
67 Red Circus Loss 11-15 -22.01 7.49% Sep 22nd Northeast 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.