(2) #127 Connecticut Connvicts (10-15)

676.13 (5)

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# Opponent Result Effect % of Ranking Status Date Event
119 Somerville BAG Loss 14-15 -1.9 3.28% Jun 24th Boston Invitational 2017
83 JAWN Loss 13-15 3.57 3.28% Jun 24th Boston Invitational 2017
- Sherbrooke Gentlemen's Club Win 15-11 16.63 3.28% Jun 24th Boston Invitational 2017
111 Dredge Win 13-9 19.77 3.28% Jun 24th Boston Invitational 2017
101 Xavier's School for Gifted Youngsters Win 9-7 16.92 3.28% Jun 25th Boston Invitational 2017
149 Club M - Magma Win 15-8 10.78 3.28% Jun 25th Boston Invitational 2017
- Allen's Army Win 15-7 0.13 3.28% Jun 25th Boston Invitational 2017
77 Red Tide Loss 6-15 -9.88 3.65% Jul 8th Antlerlock 2017
142 Mutiny Win 15-10 11.64 3.65% Jul 8th Antlerlock 2017
64 Deathsquad Loss 5-15 -5.81 3.65% Jul 8th Antlerlock 2017
87 Westchester Magma Bears Loss 7-15 -12.08 3.65% Jul 9th Antlerlock 2017
158 East Rock Candy Mountain Loss 9-10 -18.32 3.65% Jul 9th Antlerlock 2017
143 Garden Party Loss 7-9 -16.4 3.65% Jul 9th Antlerlock 2017
145 Bear Proof Win 11-3 20.41 4.51% Aug 5th Philly Open 2017
158 East Rock Candy Mountain Win 12-5 11.4 4.51% Aug 5th Philly Open 2017
48 Blueprint Loss 3-10 -0.11 4.51% Aug 5th Philly Open 2017
120 Breakers Loss 5-13 -25.24 4.51% Aug 5th Philly Open 2017
101 Xavier's School for Gifted Youngsters Loss 9-12 -5.93 4.51% Aug 6th Philly Open 2017
111 Dredge Loss 8-13 -15.66 4.51% Aug 6th Philly Open 2017
120 Breakers Loss 10-11 -2.78 4.51% Aug 6th Philly Open 2017
- The Silent Flatballers Win 13-8 17.07 5.89% Sep 9th 2017 Metro New York Mens Sectionals
33 Colt** Loss 1-13 0 0% Ignored Sep 9th 2017 Metro New York Mens Sectionals
111 Dredge Loss 11-13 -4 5.89% Sep 9th 2017 Metro New York Mens Sectionals
- Stuyvesant Sticky Fingers Win 13-6 -6.91 5.89% Sep 9th 2017 Metro New York Mens Sectionals
48 Blueprint Loss 7-15 -0.15 5.89% 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.