(2) #214 Face Off (7-17)

493.06 (5)

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# Opponent Result Effect % of Ranking Status Date Event
57 Heartless Loss 7-13 9.83 3.6% Jul 7th AntlerLock 2018
124 Albany Airbenders Loss 4-12 -2.9 3.46% Jul 7th AntlerLock 2018
164 Enough Monkeys Win 12-9 24.21 3.6% Jul 7th AntlerLock 2018
150 Scarecrow Loss 6-11 -6.08 3.41% Jul 7th AntlerLock 2018
154 Default Loss 9-15 -6.03 3.6% Jul 8th AntlerLock 2018
218 Equinox Win 15-8 19.33 3.6% Jul 8th AntlerLock 2018
108 Alt Stacks Loss 8-12 5.98 4.01% Jul 21st Vacationland 2018
181 RIMIX Loss 9-10 2.27 4.01% Jul 21st Vacationland 2018
231 BLT Stacks Win 13-4 16.93 4.01% Jul 21st Vacationland 2018
107 Sunken Circus Loss 3-13 -0.65 4.01% Jul 21st Vacationland 2018
- Rising Tide Win 12-10 10.42 4.01% Jul 21st Vacationland 2018
195 Rainbow Loss 6-10 -15.04 3.68% Jul 22nd Vacationland 2018
189 DTX Loss 8-13 -14.53 4.01% Jul 22nd Vacationland 2018
237 Turnstyle Win 10-6 8.89 4.09% Aug 4th White Mountain Mixed 2018
181 RIMIX Loss 10-15 -12.8 4.46% Aug 4th White Mountain Mixed 2018
189 DTX Loss 8-14 -18.1 4.46% Aug 4th White Mountain Mixed 2018
195 Rainbow Loss 9-15 -19.28 4.46% Aug 5th White Mountain Mixed 2018
209 DTH Win 15-7 29.77 4.46% Aug 5th White Mountain Mixed 2018
180 HAOS Loss 10-15 -16.48 5.82% Sep 8th East New England Mixed Sectional Championship 2018
73 Chaotic Good** Loss 2-15 0 0% Ignored Sep 8th East New England Mixed Sectional Championship 2018
209 DTH Loss 15-16 -5.37 5.82% Sep 8th East New England Mixed Sectional Championship 2018
107 Sunken Circus Loss 9-15 4.26 5.82% Sep 8th East New England Mixed Sectional Championship 2018
241 Dead Reckoning Win 15-11 1.51 5.82% Sep 9th East New England Mixed Sectional Championship 2018
181 RIMIX Loss 10-15 -16.95 5.82% 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.