(3) #71 Robot (11-10)

1274.9 (10)

Click on column to sort  • 
# Opponent Result Effect % of Ranking Status Date Event
245 Hot Stix** Win 15-2 0 0% Ignored Jul 21st Revolution 2018
72 Bird Win 14-10 17.99 4.41% Jul 21st Revolution 2018
193 Feral Cows** Win 14-5 0 0% Ignored Jul 21st Revolution 2018
182 Sebastopol Orchard** Win 15-2 0 0% Ignored Jul 21st Revolution 2018
85 Platypi Loss 6-11 -27.46 4.17% Jul 22nd Revolution 2018
62 Long Beach Legacy Loss 7-14 -26.11 4.41% Jul 22nd Revolution 2018
- POWERLINE Loss 10-12 -8.26 4.41% Jul 22nd Revolution 2018
29 7 Figures Win 10-6 48.8 5.88% Sep 8th So Cal Mixed Sectional Championship 2018
110 California Burrito Win 11-8 10.8 6.4% Sep 8th So Cal Mixed Sectional Championship 2018
65 Family Style Loss 3-11 -36.69 5.88% Sep 8th So Cal Mixed Sectional Championship 2018
200 Rogue** Win 11-3 0 0% Ignored Sep 8th So Cal Mixed Sectional Championship 2018
- ¡Fiesta! Win 11-2 7.91 5.88% Sep 9th So Cal Mixed Sectional Championship 2018
29 7 Figures Loss 1-5 -12.72 3.89% Sep 9th So Cal Mixed Sectional Championship 2018
62 Long Beach Legacy Loss 6-10 -29.92 5.88% Sep 9th So Cal Mixed Sectional Championship 2018
47 ROBOS Loss 7-10 -17.88 6.06% Sep 9th So Cal Mixed Sectional Championship 2018
37 BW Ultimate Loss 10-13 -7.86 7.12% Sep 22nd Southwest Mixed Regional Championship 2018
12 Mischief Loss 8-13 1.02 7.12% Sep 22nd Southwest Mixed Regional Championship 2018
48 Rubix Loss 13-15 -8.46 7.12% Sep 22nd Southwest Mixed Regional Championship 2018
55 American Barbecue Win 13-7 46.56 7.12% Sep 23rd Southwest Mixed Regional Championship 2018
67 Firefly Win 13-11 18.15 7.12% Sep 23rd Southwest Mixed Regional Championship 2018
47 ROBOS Win 13-11 26.18 7.12% Sep 23rd Southwest Mixed Regional 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.