(3) #143 Garden Party (10-17)

522.21 (15)

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# Opponent Result Effect % of Ranking Status Date Event
87 Westchester Magma Bears Loss 7-15 -5.24 3.08% Jul 8th Antlerlock 2017
47 Pesterbug** Loss 5-15 0 0% Ignored Jul 8th Antlerlock 2017
158 East Rock Candy Mountain Win 15-9 9.86 3.08% Jul 8th Antlerlock 2017
77 Red Tide Loss 5-15 -3.4 3.08% Jul 9th Antlerlock 2017
142 Mutiny Loss 8-12 -13.76 3.08% Jul 9th Antlerlock 2017
127 Connecticut Connvicts Win 9-7 13.75 3.08% Jul 9th Antlerlock 2017
111 Dredge Loss 6-8 0.72 3.81% Aug 5th Philly Open 2017
161 Bomb Squad Win 13-4 14.74 3.81% Aug 5th Philly Open 2017
120 Breakers Loss 9-12 -4.96 3.81% Aug 5th Philly Open 2017
145 Bear Proof Win 12-11 4.38 3.81% Aug 5th Philly Open 2017
153 Winc City Fog of War Loss 11-12 -9.92 3.81% Aug 6th Philly Open 2017
158 East Rock Candy Mountain Win 13-11 0.94 3.81% Aug 6th Philly Open 2017
145 Bear Proof Win 13-11 8.49 3.81% Aug 6th Philly Open 2017
107 Watchdogs Loss 10-15 -5.2 4.02% Aug 12th Nuccis Cup 2017
149 Club M - Magma Win 15-7 21.23 4.02% Aug 12th Nuccis Cup 2017
62 Bruises Loss 10-15 6.79 4.02% Aug 12th Nuccis Cup 2017
135 Helots Loss 12-13 -2.39 4.02% Aug 12th Nuccis Cup 2017
96 Adelphos Loss 8-14 -5.57 4.02% Aug 13th Nuccis Cup 2017
146 AK Pipeline Loss 12-13 -6.44 4.02% Aug 13th Nuccis Cup 2017
146 AK Pipeline Win 11-9 9.22 4.02% Aug 13th Nuccis Cup 2017
23 Pittsburgh Temper** Loss 3-13 0 0% Ignored Sep 9th 2017 Founders Mens Sectionals
- Pittsburgh Puppies Loss 5-13 -14.28 4.97% Sep 9th 2017 Founders Mens Sectionals
- AOL Win 13-11 5.32 4.97% Sep 9th 2017 Founders Mens Sectionals
104 Slag Dump Loss 8-12 -4.06 4.97% Sep 9th 2017 Founders Mens Sectionals
- Barden Btate Bultimate Loss 10-13 -13.23 4.97% Sep 10th 2017 Founders Mens Sectionals
83 JAWN Loss 3-13 -6.62 4.97% Sep 10th 2017 Founders Mens Sectionals
- Science Leadership Academy Win 13-7 1.66 4.97% Sep 10th 2017 Founders 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.