(1) #221 Chili Poppers (5-19)

396.65 (7)

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# Opponent Result Effect % of Ranking Status Date Event
116 Moontower Loss 6-13 1.57 3.82% Jun 30th Texas Two Finger 2018
128 Boomtown Loss 4-13 -0.75 3.82% Jun 30th Texas Two Finger 2018
216 Mud Turtles Loss 9-13 -13.12 3.82% Jul 1st Texas Two Finger 2018
215 Free Ride Win 11-8 18.33 3.82% Jul 1st Texas Two Finger 2018
178 Balloon Win 13-10 24.65 3.82% Jul 1st Texas Two Finger 2018
116 Moontower Loss 8-15 3.92 4.99% Aug 4th PBJ 2018
216 Mud Turtles Loss 10-15 -19.19 4.99% Aug 4th PBJ 2018
194 Freetail Loss 8-14 -17.08 4.99% Aug 4th PBJ 2018
216 Mud Turtles Loss 7-12 -22.7 4.99% Aug 5th PBJ 2018
194 Freetail Loss 12-13 4.52 4.99% Aug 5th PBJ 2018
118 Risky Business Loss 8-15 3.68 4.99% Aug 5th PBJ 2018
116 Moontower Loss 7-12 6.99 5.55% Aug 18th Riverside Classic 2018
216 Mud Turtles Win 9-8 11.84 5.25% Aug 18th Riverside Classic 2018
64 Sellout** Loss 4-12 0 0% Ignored Aug 18th Riverside Classic 2018
178 Balloon Loss 5-13 -18.14 5.55% Aug 18th Riverside Classic 2018
216 Mud Turtles Loss 7-10 -16.7 5.25% Aug 19th Riverside Classic 2018
97 tHUMP Loss 6-12 9.37 5.41% Aug 19th Riverside Classic 2018
116 Moontower** Loss 3-11 0 0% Ignored Sep 8th Texas Mixed Sectional Championship 2018
40 Five One Two** Loss 1-11 0 0% Ignored Sep 8th Texas Mixed Sectional Championship 2018
178 Balloon Loss 6-9 -7.8 5.79% Sep 8th Texas Mixed Sectional Championship 2018
227 Mixfits Win 10-5 31.4 5.79% Sep 9th Texas Mixed Sectional Championship 2018
216 Mud Turtles Loss 9-10 -2.54 6.52% Sep 9th Texas Mixed Sectional Championship 2018
- boom shaka laka** Win 11-3 0 0% Ignored Sep 9th Texas Mixed Sectional Championship 2018
204 Spring Creek Ascension Loss 7-8 1.53 5.79% 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.