(3) #167 Wildstyle (9-13)

783.29 (8)

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# Opponent Result Effect % of Ranking Status Date Event
178 Balloon Win 12-9 10.38 3.98% Jun 30th Texas Two Finger 2018
52 Instant Karma Win 10-8 33.24 3.88% Jun 30th Texas Two Finger 2018
130 Impact Loss 9-13 -9.66 3.98% Jun 30th Texas Two Finger 2018
116 Moontower Loss 9-12 -3.84 3.98% Jul 1st Texas Two Finger 2018
64 Sellout Loss 5-14 -3.94 3.98% Jul 1st Texas Two Finger 2018
204 Spring Creek Ascension Win 15-9 15.28 5.2% Aug 4th PBJ 2018
178 Balloon Win 12-11 1.65 5.2% Aug 4th PBJ 2018
118 Risky Business Loss 10-13 -4.39 5.2% Aug 4th PBJ 2018
216 Mud Turtles Win 15-9 11.92 5.2% Aug 5th PBJ 2018
204 Spring Creek Ascension Win 14-10 8.88 5.2% Aug 5th PBJ 2018
67 Firefly Loss 5-13 -6.18 5.78% Aug 18th Ski Town Classic 2018
65 Family Style Loss 6-13 -5.9 5.78% Aug 18th Ski Town Classic 2018
138 The Strangers Win 13-12 17.27 5.78% Aug 18th Ski Town Classic 2018
44 Bozos** Loss 3-13 0 0% Ignored Aug 18th Ski Town Classic 2018
43 Flight Club Loss 6-13 5.51 5.78% Aug 19th Ski Town Classic 2018
110 California Burrito Loss 9-13 -8.27 5.78% Aug 19th Ski Town Classic 2018
118 Risky Business Loss 6-11 -20.48 6.42% Sep 8th Texas Mixed Sectional Championship 2018
21 Public Enemy** Loss 4-11 0 0% Ignored Sep 8th Texas Mixed Sectional Championship 2018
- Tlacuaches Loss 7-11 -25.41 6.61% Sep 8th Texas Mixed Sectional Championship 2018
- boom shaka laka** Win 11-3 0 0% Ignored Sep 8th Texas Mixed Sectional Championship 2018
227 Mixfits Win 11-4 9.97 6.23% Sep 9th Texas Mixed Sectional Championship 2018
216 Mud Turtles Loss 7-8 -27.15 6.03% Sep 9th Texas 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.