(2) #52 Deadly Viper Assassination Squad (7-16)

793.57 (1)

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# Opponent Result Effect % of Ranking Status Date Event
24 Wicked** Loss 6-15 0 0% Ignored Jun 16th Fort Collins Summer Solstice 2018
38 Jackwagon Loss 14-15 7.23 4.25% Jun 16th Fort Collins Summer Solstice 2018
- Colorado Cutthroat Win 15-6 12.26 4.25% Jun 16th Fort Collins Summer Solstice 2018
47 Trainwreck Loss 12-14 -7.82 4.25% Jun 17th Fort Collins Summer Solstice 2018
50 Cold Cuts Win 15-9 23.96 4.25% Jun 17th Fort Collins Summer Solstice 2018
25 Colorado Small Batch** Loss 3-15 0 0% Ignored Jun 17th Fort Collins Summer Solstice 2018
33 Rampage Loss 3-13 -16.95 6.86% Aug 18th Ski Town Classic 2018
72 Seattle END Win 13-5 8.47 6.86% Aug 18th Ski Town Classic 2018
38 Jackwagon Loss 6-9 -8.48 6.1% Aug 18th Ski Town Classic 2018
47 Trainwreck Loss 7-10 -23.95 6.49% Aug 19th Ski Town Classic 2018
69 Viva Win 13-6 14.17 6.86% Aug 19th Ski Town Classic 2018
68 Seven Devils Win 13-5 16.42 6.86% Aug 19th Ski Town Classic 2018
32 FAB Loss 3-13 -17.77 8.05% Sep 8th Nor Cal Womens Sectional Championship 2018
2 Fury** Loss 0-13 0 0% Ignored Sep 8th Nor Cal Womens Sectional Championship 2018
- Tempo** Win 13-5 0 0% Ignored Sep 8th Nor Cal Womens Sectional Championship 2018
23 LOL** Loss 5-13 0 0% Ignored Sep 8th Nor Cal Womens Sectional Championship 2018
32 FAB Loss 8-11 2.76 8.05% Sep 9th Nor Cal Womens Sectional Championship 2018
- Tempo** Win 15-5 0 0% Ignored Sep 9th Nor Cal Womens Sectional Championship 2018
33 Rampage Loss 11-12 24.1 8.96% Sep 22nd Southwest Womens Regional Championship 2018
23 LOL** Loss 5-15 0 0% Ignored Sep 22nd Southwest Womens Regional Championship 2018
8 Nightlock** Loss 4-15 0 0% Ignored Sep 22nd Southwest Womens Regional Championship 2018
32 FAB Loss 8-15 -16.5 8.96% Sep 23rd Southwest Womens Regional Championship 2018
33 Rampage Loss 8-15 -19.18 8.96% 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.