(1) #33 Rampage (11-10)

1163.46 (10)

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# Opponent Result Effect % of Ranking Status Date Event
20 Underground Loss 4-13 -4.96 3.97% Jun 23rd Eugene Summer Solstice 40
23 LOL Loss 7-11 -4.83 3.86% Jun 23rd Eugene Summer Solstice 40
30 Sneaky House Hippos Loss 7-12 -14.6 3.97% Jun 23rd Eugene Summer Solstice 40
8 Nightlock** Loss 3-13 0 0% Ignored Jun 23rd Eugene Summer Solstice 40
26 Elevate Win 7-6 12.31 3.28% Jun 24th Eugene Summer Solstice 40
32 FAB Win 9-5 19.62 3.41% Jun 24th Eugene Summer Solstice 40
- Fusion Loss 7-10 0.02 3.75% Jun 24th Eugene Summer Solstice 40
52 Deadly Viper Assassination Squad Win 13-3 14.9 6.08% Aug 18th Ski Town Classic 2018
72 Seattle END** Win 13-4 0 0% Ignored Aug 18th Ski Town Classic 2018
38 Jackwagon Win 12-7 28.39 6.08% Aug 18th Ski Town Classic 2018
47 Trainwreck Win 13-4 17.78 6.08% Aug 19th Ski Town Classic 2018
26 Elevate Loss 6-11 -18.86 5.75% Aug 19th Ski Town Classic 2018
68 Seven Devils** Win 13-3 0 0% Ignored Aug 19th Ski Town Classic 2018
46 Venom Win 10-9 -12.66 7.13% Sep 8th So Cal Womens Sectional Championship 2018
69 Viva** Win 15-1 0 0% Ignored Sep 8th So Cal Womens Sectional Championship 2018
15 Wildfire Loss 7-11 6.94 6.94% Sep 8th So Cal Womens Sectional Championship 2018
8 Nightlock Loss 8-15 16.56 7.94% Sep 22nd Southwest Womens Regional Championship 2018
23 LOL Loss 6-14 -21.83 7.94% Sep 22nd Southwest Womens Regional Championship 2018
52 Deadly Viper Assassination Squad Win 12-11 -21.11 7.94% Sep 22nd Southwest Womens Regional Championship 2018
46 Venom Loss 11-12 -35.76 7.94% Sep 23rd Southwest Womens Regional Championship 2018
52 Deadly Viper Assassination Squad Win 15-8 16.81 7.94% Sep 23rd Southwest Womens 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.