(14) #133 Missouri (16-7)

1092.67 (22)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
71 Kentucky Loss 4-12 -12.89 36 3.88% Counts (Why) Feb 8th Chattanooga Classic 2020
144 Mississippi State Win 10-8 7.83 40 3.94% Counts Feb 8th Chattanooga Classic 2020
215 Saint Louis Win 11-8 1.88 47 4.05% Counts Feb 8th Chattanooga Classic 2020
161 Georgia State Win 8-7 0.78 12 3.6% Counts Feb 8th Chattanooga Classic 2020
70 Middle Tennessee State Loss 6-13 -13.31 77 4.05% Counts (Why) Feb 9th Chattanooga Classic 2020
161 Georgia State Win 10-9 0.88 12 4.05% Counts Feb 9th Chattanooga Classic 2020
234 Baylor Win 15-7 10.44 11 4.5% Counts (Why) Feb 22nd Dust Bowl 2020
271 Grinnell Win 13-5 0.16 445 4.5% Counts (Why) Feb 22nd Dust Bowl 2020
246 Texas-B Win 14-7 7.23 130 4.5% Counts (Why) Feb 22nd Dust Bowl 2020
222 Trinity Win 14-11 -1.53 142 4.5% Counts Feb 22nd Dust Bowl 2020
140 Arkansas Win 10-9 3.56 17 4.5% Counts Feb 23rd Dust Bowl 2020
152 John Brown Win 11-7 17.39 1 4.38% Counts Feb 23rd Dust Bowl 2020
166 Colorado College Loss 8-12 -26.44 12 4.5% Counts Feb 23rd Dust Bowl 2020
37 Oklahoma State Loss 10-12 13.65 4 4.5% Counts Feb 23rd Dust Bowl 2020
271 Grinnell Win 11-1 0.16 445 4.6% Counts (Why) Mar 7th Midwest Throwdown 2020
273 Knox Win 9-7 -15.86 4.6% Counts Mar 7th Midwest Throwdown 2020
77 Iowa State Loss 4-9 -15.84 4.14% Counts (Why) Mar 7th Midwest Throwdown 2020
129 Wisconsin-Whitewater Win 10-9 7.15 5.01% Counts Mar 7th Midwest Throwdown 2020
89 Carleton College-GoP Win 9-8 15.45 36 4.74% Counts Mar 8th Midwest Throwdown 2020
84 Missouri S&T Loss 4-8 -14.49 208 3.98% Counts Mar 8th Midwest Throwdown 2020
202 Missouri State Win 8-7 -6.64 123 4.45% Counts Mar 8th Midwest Throwdown 2020
169 Luther Win 11-6 20.84 68 4.74% Counts (Why) Mar 8th Midwest Throwdown 2020
67 Wisconsin-Milwaukee Loss 6-8 -0.07 17 4.3% Counts Mar 8th Midwest Throwdown 2020
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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.