() #180 HAOS (7-18)

679.94 (5)

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# Opponent Result Effect % of Ranking Status Date Event
127 Funk Loss 8-9 5.9 3.24% Jul 7th AntlerLock 2018
189 DTX Win 9-6 11.94 3.05% Jul 7th AntlerLock 2018
102 Titan NE Loss 4-9 -5.05 2.84% Jul 7th AntlerLock 2018
154 Default Win 11-10 10.38 3.43% Jul 7th AntlerLock 2018
148 WHUF* Loss 12-15 -3.56 3.43% Jul 8th AntlerLock 2018
150 Scarecrow Loss 8-15 -13.4 3.43% Jul 8th AntlerLock 2018
53 Darkwing** Loss 5-12 0 0% Ignored Jul 21st Vacationland 2018
124 Albany Airbenders Win 11-6 32.91 3.61% Jul 21st Vacationland 2018
148 WHUF* Loss 9-11 -1.94 3.82% Jul 21st Vacationland 2018
150 Scarecrow Loss 9-10 2.48 3.82% Jul 21st Vacationland 2018
139 Nautilus Loss 6-12 -13.25 3.71% Jul 22nd Vacationland 2018
102 Titan NE Loss 7-12 -3.71 3.82% Jul 22nd Vacationland 2018
206 Varsity Loss 9-10 -13 4.72% Aug 18th Chowdafest 2018
133 Townies Loss 6-13 -15.8 4.72% Aug 18th Chowdafest 2018
53 Darkwing** Loss 4-13 0 0% Ignored Aug 18th Chowdafest 2018
139 Nautilus Loss 11-13 0.35 4.72% Aug 19th Chowdafest 2018
181 RIMIX Loss 5-11 -27.53 4.33% Aug 19th Chowdafest 2018
107 Sunken Circus Loss 3-13 -10.04 4.72% Aug 19th Chowdafest 2018
73 Chaotic Good Loss 5-15 -0.84 5.54% Sep 8th East New England Mixed Sectional Championship 2018
107 Sunken Circus Loss 9-15 -6.92 5.54% Sep 8th East New England Mixed Sectional Championship 2018
214 Face Off Win 15-10 15.65 5.54% Sep 8th East New England Mixed Sectional Championship 2018
195 Rainbow Win 15-14 2.36 5.54% Sep 8th East New England Mixed Sectional Championship 2018
- Drunk in Space Win 15-4 9.06 5.54% Sep 9th East New England Mixed Sectional Championship 2018
150 Scarecrow Win 12-10 24.97 5.54% Sep 9th East New England Mixed Sectional Championship 2018
73 Chaotic Good Loss 4-12 -0.8 5.32% Sep 9th East New England 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.