() #28 Phoenix (13-6)

1379.92 (39)

Click on column to sort  • 
# Opponent Result Effect % of Ranking Status Date Event
142 Genny Lite Win 13-6 -16.44 5.57% Aug 26th Sectional Sanction Upstate NY 2018
14 GOAT Loss 3-7 -11.15 4.04% Aug 26th Sectional Sanction Upstate NY 2018
45 Mockingbird Loss 11-13 -21.82 5.57% Aug 26th Sectional Sanction Upstate NY 2018
64 Overcast Win 12-11 -12.19 5.57% Aug 26th Sectional Sanction Upstate NY 2018
- ESF Mighty Oaks** Win 15-2 0 0% Ignored Sep 8th Upstate New York Mens Sectional Championship 2018
96 Shrike Win 14-3 5.41 6.2% Sep 8th Upstate New York Mens Sectional Championship 2018
14 GOAT Loss 7-15 -17.5 6.2% Sep 8th Upstate New York Mens Sectional Championship 2018
64 Overcast Win 15-6 17.73 6.2% Sep 8th Upstate New York Mens Sectional Championship 2018
96 Shrike Win 15-4 5.41 6.2% Sep 9th Upstate New York Mens Sectional Championship 2018
142 Genny Lite** Win 15-5 0 0% Ignored Sep 9th Upstate New York Mens Sectional Championship 2018
14 GOAT Loss 11-12 13.89 6.2% Sep 9th Upstate New York Mens Sectional Championship 2018
- Maverick** Win 15-1 0 0% Ignored Sep 9th Upstate New York Mens Sectional Championship 2018
87 Westchester Magma Bears Win 15-7 9.92 6.89% Sep 22nd Northeast Mens Regional Championship 2018
14 GOAT Loss 6-15 -19.61 6.89% Sep 22nd Northeast Mens Regional Championship 2018
85 Pesterbug Win 15-9 4.87 6.89% Sep 22nd Northeast Mens Regional Championship 2018
67 Red Circus Win 15-6 19.22 6.89% Sep 22nd Northeast Mens Regional Championship 2018
29 Big Wrench Win 14-11 23.05 6.89% Sep 23rd Northeast Mens Regional Championship 2018
77 Deathsquad Win 14-7 13.62 6.89% Sep 23rd Northeast Mens Regional Championship 2018
11 DiG Loss 7-15 -13.53 6.89% Sep 23rd Northeast Mens 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.