(2) #165 Unlimited Swipes (11-12)

788.26 (7)

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# Opponent Result Effect % of Ranking Status Date Event
50 Grand Army Loss 8-15 0.63 3.63% Jul 7th Philly Invite 2018
113 The Bandits Loss 8-14 -10.57 3.63% Jul 7th Philly Invite 2018
158 Philly Twist Loss 7-11 -16.11 3.53% Jul 7th Philly Invite 2018
59 Distelfink Loss 5-15 -3.3 3.63% Jul 7th Philly Invite 2018
237 Turnstyle Win 13-8 -3.27 3.63% Jul 8th Philly Invite 2018
163 Stoke Loss 9-11 -9.07 3.63% Jul 8th Philly Invite 2018
- Philadelphia Forge Win 11-5 -4.17 3.33% Jul 8th Philly Invite 2018
127 Funk Loss 10-13 -6.74 4.74% Aug 11th Philly Open 2018
117 The Process Win 11-7 34.37 4.61% Aug 11th Philly Open 2018
99 Legion Loss 7-12 -9.62 4.74% Aug 11th Philly Open 2018
158 Philly Twist Loss 2-5 -16.97 2.88% Aug 11th Philly Open 2018
232 Baltimore BENCH Win 11-5 4.59 4.35% Aug 12th Philly Open 2018
224 Stormborn Win 9-8 -14.35 4.48% Aug 12th Philly Open 2018
231 BLT Stacks Win 15-7 6.14 5.27% Aug 25th The Incident 2018
158 Philly Twist Win 12-10 14.74 5.27% Aug 25th The Incident 2018
232 Baltimore BENCH Win 15-5 5.62 5.27% Aug 25th The Incident 2018
239 Pandatime** Win 15-5 0 0% Ignored Aug 25th The Incident 2018
127 Funk Loss 10-12 -2.53 5.27% Aug 26th The Incident 2018
132 HVAC Win 14-9 36.06 5.27% Aug 26th The Incident 2018
158 Philly Twist Loss 10-11 -5.46 5.27% Aug 26th The Incident 2018
127 Funk Loss 9-13 -14.07 5.86% Sep 8th Metro New York Mixed Sectional Championship 2018
141 Powermove Loss 9-10 -1.23 5.86% Sep 8th Metro New York Mixed Sectional Championship 2018
- Super Happy Fun Time Win 12-11 16.5 5.86% Sep 8th Metro New York Mixed Sectional 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.