() #107 Watchdogs (12-11)

851.58 (38)

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# Opponent Result Effect % of Ranking Status Date Event
31 Richmond Floodwall** Loss 4-13 0 0% Ignored Jul 22nd Stonewalled 2017
121 Munch Box Loss 11-13 -14.62 4.14% Jul 22nd Stonewalled 2017
56 Brickhouse Loss 6-11 -9.22 4.14% Jul 22nd Stonewalled 2017
166 First Order Win 11-8 -12.31 4.14% Jul 23rd Stonewalled 2017
153 Winc City Fog of War Win 11-4 6.27 4.14% Jul 23rd Stonewalled 2017
143 Garden Party Win 15-10 6.34 4.86% Aug 12th Nuccis Cup 2017
146 AK Pipeline Win 14-13 -11.91 4.86% Aug 12th Nuccis Cup 2017
96 Adelphos Loss 12-15 -11.58 4.86% Aug 12th Nuccis Cup 2017
62 Bruises Loss 9-15 -11.69 4.86% Aug 12th Nuccis Cup 2017
149 Club M - Magma Win 15-11 -2.09 4.86% Aug 13th Nuccis Cup 2017
135 Helots Win 15-11 6.12 4.86% Aug 13th Nuccis Cup 2017
135 Helots Win 15-10 9.81 4.86% Aug 13th Nuccis Cup 2017
31 Richmond Floodwall Loss 7-11 9.76 6.01% Sep 9th 2017 Capital Mens Sectionals
- SPACE INVADERS** Win 11-3 0 0% Ignored Sep 9th 2017 Capital Mens Sectionals
118 Shockoe Slip Flatball Club Win 11-5 31.92 6.01% Sep 9th 2017 Capital Mens Sectionals
- HB Boys** Win 11-3 0 0% Ignored Sep 9th 2017 Capital Mens Sectionals
57 Oakgrove Boys Loss 9-11 5.28 6.01% Sep 9th 2017 Capital Mens Sectionals
153 Winc City Fog of War Win 15-8 7.04 6.01% Sep 10th 2017 Capital Mens Sectionals
121 Munch Box Win 15-11 17.36 6.01% Sep 10th 2017 Capital Mens Sectionals
57 Oakgrove Boys Loss 9-13 -5.56 6.01% Sep 10th 2017 Capital Mens Sectionals
23 Pittsburgh Temper Loss 6-13 9.14 6.69% Sep 23rd Mid Atlantic Mens Regionals 2017
19 Medicine Men** Loss 4-13 0 0% Ignored Sep 23rd Mid Atlantic Mens Regionals 2017
83 JAWN Loss 7-13 -29.63 6.69% Sep 23rd Mid Atlantic Mens Regionals 2017
**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.