(5) #159 Black Market II (7-18)

308.05 (61)

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# Opponent Result Effect % of Ranking Status Date Event
86 Mango Tree** Loss 6-15 0 0% Ignored Jul 8th MoTown Throwdown 2017
138 Midnight Meat Train Loss 8-13 -9.99 3.95% Jul 8th MoTown Throwdown 2017
- SEMI Win 13-5 4.67 3.95% Jul 8th MoTown Throwdown 2017
41 Illusion** Loss 4-13 0 0% Ignored Jul 8th MoTown Throwdown 2017
138 Midnight Meat Train Win 13-8 30.87 3.95% Jul 9th MoTown Throwdown 2017
67 Four Loss 7-14 8.19 3.95% Jul 9th MoTown Throwdown 2017
146 AK Pipeline Win 11-7 26.85 3.95% Jul 9th MoTown Throwdown 2017
98 Dallas United: Desperados Loss 4-15 -0.29 4.4% Jul 22nd Heavyweights 2017
- Kettering Win 13-7 -0.38 4.4% Jul 22nd Heavyweights 2017
116 KC SmokeStack Loss 7-15 -7.17 4.4% Jul 22nd Heavyweights 2017
90 The Roofing Co.** Loss 3-13 0 0% Ignored Jul 23rd Heavyweights 2017
133 Auxiliary Win 14-13 20.4 4.4% Jul 23rd Heavyweights 2017
117 Satellite Loss 12-15 6.59 4.4% Jul 23rd Heavyweights 2017
155 Cream City Crooks Loss 5-13 -30.43 5.45% Aug 19th Cooler Classic 29
129 Baemaker Loss 3-13 -14.64 5.45% Aug 19th Cooler Classic 29
- Rogue Grimace Win 12-7 3.42 5.45% Aug 19th Cooler Classic 29
152 Dirty D Loss 8-13 -23.41 5.45% Aug 19th Cooler Classic 29
148 Black Penguins Club Loss 11-15 -14.83 5.45% Aug 20th Cooler Classic 29
162 Hippie Mafia Loss 6-15 -35.5 5.45% Aug 20th Cooler Classic 29
90 The Roofing Co. Loss 11-13 27.95 6.39% Sep 9th 2017 Central Plains Mens Sectionals
63 Haymaker** Loss 3-13 0 0% Ignored Sep 9th 2017 Central Plains Mens Sectionals
- Los Beeros Win 13-7 27.89 6.39% Sep 9th 2017 Central Plains Mens Sectionals
40 Black Market** Loss 5-13 0 0% Ignored Sep 10th 2017 Central Plains Mens Sectionals
117 Satellite Loss 8-13 -3.57 6.39% Sep 10th 2017 Central Plains Mens Sectionals
129 Baemaker Loss 4-11 -17.35 6.39% Sep 10th 2017 Central Plains Mens Sectionals
**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.