(1) #87 Westchester Magma Bears (14-12)

913.88 (38)

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# Opponent Result Effect % of Ranking Status Date Event
105 Bruises Win 14-12 2.7 2.71% Jun 23rd Boston Invite 2018
29 Big Wrench Loss 2-15 -3.79 2.71% Jun 23rd Boston Invite 2018
50 Colt Loss 8-15 -7.4 2.71% Jun 23rd Boston Invite 2018
62 Club M - Manic Loss 5-15 -11.97 2.71% Jun 23rd Boston Invite 2018
57 Shade Loss 9-14 -8.01 2.71% Jun 24th Boston Invite 2018
77 Deathsquad Loss 13-14 -1.61 2.71% Jun 24th Boston Invite 2018
94 Red Tide Win 15-13 5.65 3.01% Jul 7th AntlerLock 2018
77 Deathsquad Loss 13-15 -4.57 3.01% Jul 7th AntlerLock 2018
156 One Night Win 15-10 -5.02 3.01% Jul 7th AntlerLock 2018
105 Bruises Win 15-12 5.49 3.01% Jul 8th AntlerLock 2018
131 Somerville BAG Win 13-12 -4.99 3.01% Jul 8th AntlerLock 2018
118 Adelphos Win 13-9 9.13 3.93% Aug 11th Nuccis Cup 2018
- Bearproof Win 13-10 -8.2 3.93% Aug 11th Nuccis Cup 2018
135 Helots Win 13-6 11.16 3.93% Aug 11th Nuccis Cup 2018
77 Deathsquad Win 13-9 19.89 3.93% Aug 11th Nuccis Cup 2018
57 Shade Loss 12-13 2.51 3.93% Aug 12th Nuccis Cup 2018
126 Watchdogs Win 13-9 7.21 3.93% Aug 12th Nuccis Cup 2018
109 JAWN Win 14-13 -0.78 3.93% Aug 12th Nuccis Cup 2018
- Black Knights Win 15-7 7.45 4.87% Sep 8th Metro New York Mens Sectional Championship 2018
- Spring Break '93 Win 15-7 6.6 4.87% Sep 8th Metro New York Mens Sectional Championship 2018
50 Colt Loss 10-15 -7.91 4.87% Sep 8th Metro New York Mens Sectional Championship 2018
54 Blueprint Loss 9-13 -8.89 4.87% Sep 9th Metro New York Mens Sectional Championship 2018
105 Bruises Win 14-9 20.04 5.42% Sep 22nd Northeast Mens Regional Championship 2018
29 Big Wrench Loss 9-15 -2.95 5.42% Sep 22nd Northeast Mens Regional Championship 2018
45 Mockingbird Loss 8-15 -13.74 5.42% Sep 22nd Northeast Mens Regional Championship 2018
28 Phoenix Loss 7-15 -7.67 5.42% 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.