(1) #154 Black Market II (7-19)

306.83 (35)

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# Opponent Result Effect % of Ranking Status Date Event
95 Scythe Loss 6-13 -1.19 4.09% Jun 30th Spirit of the Plains 2018
60 DeMo** Loss 5-13 0 0% Ignored Jun 30th Spirit of the Plains 2018
120 KC SmokeStack Win 12-11 22.62 4.09% Jun 30th Spirit of the Plains 2018
111 Cryptic Loss 6-12 -4.97 3.99% Jun 30th Spirit of the Plains 2018
111 Cryptic Loss 7-9 7.04 3.76% Jul 1st Spirit of the Plains 2018
117 THE BODY Loss 6-13 -7.51 4.09% Jul 1st Spirit of the Plains 2018
146 Dirty D Loss 6-11 -18.75 4.08% Jul 7th Motown Throwdown 2018
65 Mango Tree Loss 9-10 27.64 4.32% Jul 7th Motown Throwdown 2018
47 MKE** Loss 2-11 0 0% Ignored Jul 7th Motown Throwdown 2018
149 Chimney Loss 9-15 -21.45 4.32% Jul 8th Motown Throwdown 2018
159 Midnight Meat Train Win 15-9 20.06 4.32% Jul 8th Motown Throwdown 2018
- Torontosaurus Rex Win 15-6 6.88 4.32% Jul 8th Motown Throwdown 2018
123 Satellite Loss 7-9 5.3 4.41% Jul 21st Layout for Summer 2018
100 Babe Loss 4-13 -3.72 4.8% Jul 21st Layout for Summer 2018
161 Ironside Loss 8-10 -17.78 4.68% Jul 21st Layout for Summer 2018
119 MomINtuM Loss 8-10 7.01 4.68% Jul 21st Layout for Summer 2018
123 Satellite Win 9-8 24.72 4.54% Jul 22nd Layout for Summer 2018
170 Bird Patrol Win 14-3 16.08 4.8% Jul 22nd Layout for Summer 2018
119 MomINtuM Loss 7-14 -8.95 4.8% Jul 22nd Layout for Summer 2018
161 Ironside Win 11-9 7.55 4.8% Jul 22nd Layout for Summer 2018
61 Tanasi** Loss 0-13 0 0% Ignored Aug 4th Heavyweights 2018
103 houSE Loss 7-13 -2.31 5.35% Aug 4th Heavyweights 2018
152 Green Bay Quackers Loss 8-9 -5.3 5.06% Aug 4th Heavyweights 2018
164 Fifty-Fifty Loss 8-13 -37.57 5.35% Aug 5th Heavyweights 2018
- Kettering Win 12-5 0 0% Ignored Aug 5th Heavyweights 2018
163 Hippie Mafia Loss 11-12 -16 5.35% Aug 5th Heavyweights 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.