(2) #76 Slag Dump (12-8)

990.89 (37)

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# Opponent Result Effect % of Ranking Status Date Event
33 Richmond Floodwall Loss 4-11 -10.6 4.11% Jul 28th 2018 Richmond Stonewalled
157 Winc City Fog of War Win 9-4 -3.76 3.7% Jul 28th 2018 Richmond Stonewalled
125 Town Hall Stars Win 10-9 -9.02 4.48% Jul 28th 2018 Richmond Stonewalled
27 Turbine Loss 3-13 -9.32 4.48% Jul 29th 2018 Richmond Stonewalled
52 Oakgrove Boys Win 13-8 32.45 4.48% Jul 29th 2018 Richmond Stonewalled
127 Dynasty Win 15-12 -2.13 5.26% Aug 18th Oshadega Ultimate Invite 2018
51 BroCats Loss 6-15 -22.25 5.26% Aug 18th Oshadega Ultimate Invite 2018
65 Mango Tree Loss 11-14 -14.43 5.26% Aug 18th Oshadega Ultimate Invite 2018
72 Swans Win 15-9 30.03 5.26% Aug 19th Oshadega Ultimate Invite 2018
90 Omen Loss 11-15 -26.13 5.26% Aug 19th Oshadega Ultimate Invite 2018
- 8$OLD** Win 13-5 0 0% Ignored Sep 8th Founders Mens Sectional Championship 2018
118 Adelphos Win 13-6 21.52 6.17% Sep 8th Founders Mens Sectional Championship 2018
- Tune-UP Win 13-4 11.88 6.17% Sep 8th Founders Mens Sectional Championship 2018
109 JAWN Win 10-7 10.45 5.83% Sep 8th Founders Mens Sectional Championship 2018
42 CITYWIDE Special Loss 10-13 -3.97 6.86% Sep 22nd Mid Atlantic Mens Regional Championship 2018
148 Bomb Squad Win 13-7 -4.63 6.86% Sep 22nd Mid Atlantic Mens Regional Championship 2018
5 Truck Stop** Loss 3-13 0 0% Ignored Sep 22nd Mid Atlantic Mens Regional Championship 2018
68 John Doe Loss 7-15 -40.64 6.86% Sep 22nd Mid Atlantic Mens Regional Championship 2018
58 Rumspringa Win 15-13 23.71 6.86% Sep 23rd Mid Atlantic Mens Regional Championship 2018
109 JAWN Win 15-10 17.13 6.86% 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.