() #126 Watchdogs (11-11)

671.4 (38)

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# Opponent Result Effect % of Ranking Status Date Event
- Foggy Bottom Boys Win 11-8 26.13 4.27% Jul 28th 2018 Richmond Stonewalled
157 Winc City Fog of War Loss 8-9 -21.2 4.04% Jul 28th 2018 Richmond Stonewalled
125 Town Hall Stars Loss 6-10 -20.16 3.92% Jul 28th 2018 Richmond Stonewalled
57 Shade Loss 9-13 0.51 4.75% Aug 11th Nuccis Cup 2018
169 Bearfest Win 13-6 -1.82 4.75% Aug 11th Nuccis Cup 2018
- Tune-UP Win 13-10 11.4 4.75% Aug 11th Nuccis Cup 2018
157 Winc City Fog of War Win 13-7 8.95 4.75% Aug 11th Nuccis Cup 2018
125 Town Hall Stars Win 13-5 30.05 4.75% Aug 12th Nuccis Cup 2018
87 Westchester Magma Bears Loss 9-13 -8.79 4.75% Aug 12th Nuccis Cup 2018
77 Deathsquad Loss 6-13 -14.5 4.75% Aug 12th Nuccis Cup 2018
148 Bomb Squad Win 11-3 17.07 5.4% Sep 8th Capital Mens Sectional Championship 2018
25 Medicine Men** Loss 2-11 0 0% Ignored Sep 8th Capital Mens Sectional Championship 2018
- Mr. Scott and the Tots Win 11-4 3.66 5.4% Sep 8th Capital Mens Sectional Championship 2018
157 Winc City Fog of War Win 13-11 -9.34 5.88% Sep 8th Capital Mens Sectional Championship 2018
68 John Doe Loss 7-11 -6.02 5.73% Sep 8th Capital Mens Sectional Championship 2018
169 Bearfest** Win 15-5 0 0% Ignored Sep 9th Capital Mens Sectional Championship 2018
- BLUD Win 15-1 1.57 5.88% Sep 9th Capital Mens Sectional Championship 2018
58 Rumspringa Loss 6-13 -12.11 6.55% Sep 22nd Mid Atlantic Mens Regional Championship 2018
68 John Doe Loss 8-13 -8.99 6.55% Sep 22nd Mid Atlantic Mens Regional Championship 2018
18 Pittsburgh Temper** Loss 5-13 0 0% Ignored Sep 22nd Mid Atlantic Mens Regional Championship 2018
118 Adelphos Loss 10-15 -28.48 6.55% Sep 23rd Mid Atlantic Mens Regional Championship 2018
125 Town Hall Stars Win 15-10 31.92 6.55% Sep 23rd Mid Atlantic 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.