(8) #61 Club M - Manic (13-8)

1140.39 (109)

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# Opponent Result Effect % of Ranking Status Date Event
85 Red Circus Win 15-8 14.96 3.71% Jun 24th Boston Invitational 2017
87 Westchester Magma Bears Win 15-6 16.03 3.71% Jun 24th Boston Invitational 2017
64 Deathsquad Win 13-10 11.95 3.71% Jun 24th Boston Invitational 2017
120 Breakers Win 15-6 7.77 3.71% Jun 24th Boston Invitational 2017
9 Dig** Loss 4-15 0 0% Ignored Jun 25th Boston Invitational 2017
50 Big Wrench Loss 9-12 -9.22 3.71% Jun 25th Boston Invitational 2017
- Grand Trunk Win 15-6 26.25 3.71% Jun 25th Boston Invitational 2017
32 Mockingbird Loss 11-13 5.84 6.66% Sep 9th 2017 West New England Mens Sectionals
- Club M - Inferno** Win 15-0 0 0% Ignored Sep 9th 2017 West New England Mens Sectionals
- Club M - Rage Win 12-10 -14.01 6.66% Sep 9th 2017 West New England Mens Sectionals
- Shades Win 14-13 0.36 6.66% Sep 9th 2017 West New England Mens Sectionals
142 Mutiny** Win 15-2 0 0% Ignored Sep 10th 2017 West New England Mens Sectionals
32 Mockingbird Loss 8-15 -18.14 6.66% Sep 10th 2017 West New England Mens Sectionals
149 Club M - Magma** Win 15-4 0 0% Ignored Sep 10th 2017 West New England Mens Sectionals
- Shades Win 9-8 0.36 6.66% Sep 10th 2017 West New England Mens Sectionals
13 PoNY Loss 8-13 13.59 7.41% Sep 23rd Northeast Mens Regionals 2017
33 Colt Loss 9-13 -9.31 7.41% Sep 23rd Northeast Mens Regionals 2017
72 Shade Win 13-11 10.73 7.41% Sep 23rd Northeast Mens Regionals 2017
50 Big Wrench Loss 8-15 -36.75 7.41% Sep 23rd Northeast Mens Regionals 2017
87 Westchester Magma Bears Win 13-11 3.64 7.41% Sep 24th Northeast Mens Regionals 2017
64 Deathsquad Loss 11-14 -26.49 7.41% Sep 24th Northeast Mens Regionals 2017
**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.