(1) #111 Dredge (12-10)

841.01 (3)

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# Opponent Result Effect % of Ranking Status Date Event
127 Connecticut Connvicts Loss 9-13 -21.43 3.54% Jun 24th Boston Invitational 2017
119 Somerville BAG Loss 12-13 -8.12 3.54% Jun 24th Boston Invitational 2017
83 JAWN Win 14-9 23.09 3.54% Jun 24th Boston Invitational 2017
- Sherbrooke Gentlemen's Club Loss 12-13 -6.62 3.54% Jun 24th Boston Invitational 2017
101 Xavier's School for Gifted Youngsters Win 15-11 16.03 3.54% Jun 25th Boston Invitational 2017
149 Club M - Magma Win 15-6 6.92 3.54% Jun 25th Boston Invitational 2017
- Allen's Army** Win 15-4 0 0% Ignored Jun 25th Boston Invitational 2017
143 Garden Party Win 8-6 -0.94 4.88% Aug 5th Philly Open 2017
48 Blueprint Loss 10-11 15.78 4.88% Aug 5th Philly Open 2017
161 Bomb Squad Win 13-2 2.74 4.88% Aug 5th Philly Open 2017
120 Breakers Win 12-9 12.65 4.88% Aug 5th Philly Open 2017
127 Connecticut Connvicts Win 13-8 16.99 4.88% Aug 6th Philly Open 2017
64 Deathsquad Loss 9-13 -7.02 4.88% Aug 6th Philly Open 2017
72 Shade Loss 9-13 -10.97 4.88% Aug 6th Philly Open 2017
- The Silent Flatballers Win 13-11 -10.86 6.37% Sep 9th 2017 Metro New York Mens Sectionals
33 Colt Loss 7-13 3 6.37% Sep 9th 2017 Metro New York Mens Sectionals
127 Connecticut Connvicts Win 13-11 4.35 6.37% Sep 9th 2017 Metro New York Mens Sectionals
- Stuyvesant Sticky Fingers** Win 13-3 0 0% Ignored Sep 9th 2017 Metro New York Mens Sectionals
87 Westchester Magma Bears Loss 11-13 -7.67 6.37% Sep 10th 2017 Metro New York Mens Sectionals
102 Fat and Mediocre Loss 11-15 -22.39 6.37% Sep 10th 2017 Metro New York Mens Sectionals
- Black Knights Win 15-13 -1.35 6.37% Sep 10th 2017 Metro New York Mens Sectionals
72 Shade Loss 12-15 -6.52 6.37% Sep 10th 2017 Metro New York Mens Sectionals
**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.