(19) #170 Black Market II (1-16)

106.1 (263)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
127 Timber Loss 4-13 -12.1 79 8.58% Counts (Why) Jul 31st Heavyweights 2021
13 Mad Men** Loss 2-13 0 44 0% Ignored (Why) Jul 31st Heavyweights 2021
111 Mallard II** Loss 4-13 0 22 0% Ignored (Why) Jul 31st Heavyweights 2021
150 HouSE Win 11-9 44.83 132 8.58% Counts Jul 31st Heavyweights 2021
156 Overdrive Loss 7-9 -2.99 95 8.34% Counts Aug 1st Heavyweights 2021
150 HouSE Loss 10-15 -32.25 132 9.09% Counts (Why) Aug 1st Heavyweights 2021
149 Swans Loss 7-12 -32.41 138 9.63% Counts (Why) Aug 14th Cooler Classic 32 Redux
86 SlimJim FC** Loss 2-13 0 5 0% Ignored (Why) Aug 14th Cooler Classic 32 Redux
82 CaSTLe** Loss 2-13 0 33 0% Ignored (Why) Aug 14th Cooler Classic 32 Redux
126 Satellite Loss 9-13 -11.1 60 9.63% Counts (Why) Aug 14th Cooler Classic 32 Redux
155 Ditto A Loss 14-15 12.22 559 10.21% Counts Aug 15th Cooler Classic 32 Redux
150 HouSE Loss 4-15 -36.65 132 10.21% Counts (Why) Aug 15th Cooler Classic 32 Redux
18 Indy Club** Loss 4-13 0 0% Ignored (Why) Sep 18th Central Plains Mens Club Sectional Championship 2021
155 Ditto A Loss 11-12 15.87 559 12.86% Counts Sep 18th Central Plains Mens Club Sectional Championship 2021
3 Chicago Machine** Loss 1-13 0 34 0% Ignored (Why) Sep 18th Central Plains Mens Club Sectional Championship 2021
61 Beachfront Property** Loss 3-13 56.9 12.86% Counts (Why) Sep 18th Central Plains Mens Club Sectional Championship 2021
72 Haymaker** Loss 4-15 0 261 0% Ignored (Why) Sep 19th Central Plains Mens Club Sectional Championship 2021
**Blowout Eligible. Learn more about how this works here.

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.