(1) #120 Mimosas (10-11)

1022.95 (10)

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# Opponent Result Effect % of Ranking Status Date Event
210 VU Win 13-4 4.22 3.91% Jul 21st Revolution 2018
131 Absolute Zero Win 11-9 7.83 3.91% Jul 21st Revolution 2018
- POWERLINE Loss 11-12 7.57 3.91% Jul 21st Revolution 2018
110 California Burrito Win 10-7 16.66 3.7% Jul 22nd Revolution 2018
72 Bird Loss 11-12 4.82 3.91% Jul 22nd Revolution 2018
182 Sebastopol Orchard Win 9-7 -2.66 3.59% Jul 22nd Revolution 2018
43 Flight Club Loss 9-13 1.61 4.84% Aug 18th Ski Town Classic 2018
46 The Administrators Loss 8-12 -3.47 4.84% Aug 18th Ski Town Classic 2018
48 Rubix Loss 4-13 -12.42 4.84% Aug 18th Ski Town Classic 2018
162 Fear and Loathing Win 13-9 9.84 4.84% Aug 18th Ski Town Classic 2018
143 Bulleit Train Win 10-4 20.69 4.23% Aug 19th Ski Town Classic 2018
110 California Burrito Loss 6-11 -24.12 4.58% Aug 19th Ski Town Classic 2018
65 Family Style Loss 10-11 7.08 4.84% Aug 19th Ski Town Classic 2018
37 BW Ultimate Loss 3-11 -6.73 5.21% Sep 8th Nor Cal Mixed Sectional Championship 2018
35 Classy Loss 4-11 -6.01 5.21% Sep 8th Nor Cal Mixed Sectional Championship 2018
187 Megalodon Win 11-7 5.11 5.53% Sep 8th Nor Cal Mixed Sectional Championship 2018
91 Argo Win 11-10 16.08 5.68% Sep 8th Nor Cal Mixed Sectional Championship 2018
193 Feral Cows Win 11-7 3.49 5.53% Sep 8th Nor Cal Mixed Sectional Championship 2018
131 Absolute Zero Win 12-11 4.1 5.68% Sep 9th Nor Cal Mixed Sectional Championship 2018
119 Buckwild Loss 7-11 -26.85 5.53% Sep 9th Nor Cal Mixed Sectional Championship 2018
91 Argo Loss 0-13 -27.58 5.68% Sep 9th Nor Cal 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.