(1) #191 Yacht Club (3-16)

527.56 (4)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
73 Swans Loss 9-13 12.48 4 5% Counts Jun 29th Spirit of the Plains 2019
177 Red Bat Loss 11-12 -2.1 4 5% Counts Jun 29th Spirit of the Plains 2019
18 Yogosbo** Loss 3-13 0 6 0% Ignored (Why) Jun 29th Spirit of the Plains 2019
30 Mad Men** Loss 3-9 0 3 0% Ignored (Why) Jun 30th Spirit of the Plains 2019
103 Imperial Loss 5-9 -1.01 4 4.29% Counts Jun 30th Spirit of the Plains 2019
137 Kansas City Smokestack Loss 4-11 -12.26 4 4.58% Counts (Why) Jun 30th Spirit of the Plains 2019
73 Swans Loss 5-11 3.23 4 5.45% Counts (Why) Jul 20th The Royal Experience 2019
113 Choice City Hops Loss 9-10 21.43 3 5.94% Counts Jul 20th The Royal Experience 2019
71 Dreadnought Loss 5-11 3.64 2 5.45% Counts (Why) Jul 20th The Royal Experience 2019
137 Kansas City Smokestack Loss 6-7 11.37 4 4.91% Counts Jul 20th The Royal Experience 2019
148 Syndicate Win 14-12 30.7 3 5.94% Counts Jul 21st The Royal Experience 2019
236 Identity Crisis Win 15-6 5.22 4 5.94% Counts (Why) Jul 21st The Royal Experience 2019
219 Tsunami B Loss 10-11 -21.82 4 5.94% Counts Jul 21st The Royal Experience 2019
219 Tsunami B Win 15-0 23.98 4 5.94% Counts (Why) Jul 21st The Royal Experience 2019
123 CaSTLe Loss 6-15 -19.93 4 8.9% Counts (Why) Sep 7th West Plains Mens Club Sectional Championship 2019
76 DeMo Loss 7-15 4.23 4 8.9% Counts (Why) Sep 7th West Plains Mens Club Sectional Championship 2019
32 Prairie Fire** Loss 4-15 0 3 0% Ignored (Why) Sep 7th West Plains Mens Club Sectional Championship 2019
137 Kansas City Smokestack Loss 8-15 -21.49 4 8.9% Counts Sep 8th West Plains Mens Club Sectional Championship 2019
177 Red Bat Loss 8-13 -40.17 4 8.9% Counts Sep 8th West Plains Mens Club Sectional Championship 2019
**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.