(13) #77 Missouri (13-7)

1368.96 (115)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
124 Arkansas Win 10-8 -2.04 324 5.57% Counts Feb 17th Dust Bowl 2024
96 Iowa State Win 8-6 9.57 70 4.92% Counts Feb 17th Dust Bowl 2024
143 John Brown Win 8-3 7.02 87 4.46% Counts (Why) Feb 17th Dust Bowl 2024
53 Texas Win 6-4 24.19 116 4.16% Counts (Why) Feb 17th Dust Bowl 2024
133 Truman State Win 15-5 12.94 143 5.73% Counts (Why) Feb 17th Dust Bowl 2024
42 Texas-Dallas Loss 7-12 -12.73 114 5.73% Counts Feb 18th Dust Bowl 2024
35 St Olaf Loss 4-8 -8.36 143 5.11% Counts Mar 2nd Midwest Throwdown 2024
70 Northwestern Loss 7-9 -14.36 87 5.9% Counts Mar 2nd Midwest Throwdown 2024
231 Wisconsin-B** Win 10-2 0 59 0% Ignored (Why) Mar 2nd Midwest Throwdown 2024
96 Iowa State Loss 5-7 -23.88 70 5.11% Counts Mar 3rd Midwest Throwdown 2024
83 Kansas Win 7-4 24.18 13 4.89% Counts (Why) Mar 3rd Midwest Throwdown 2024
177 Missouri State Win 7-4 -9.76 143 4.89% Counts (Why) Mar 3rd Midwest Throwdown 2024
124 Arkansas Win 9-6 10.67 324 8.08% Counts Apr 13th Ozarks D I Womens Conferences 2024
195 Washington University-B** Win 11-3 0 109 0% Ignored (Why) Apr 13th Ozarks D I Womens Conferences 2024
34 Washington University Loss 5-10 -13.95 16 8.08% Counts Apr 14th Ozarks D I Womens Conferences 2024
113 Saint Louis Win 9-6 18.04 141 9.07% Counts Apr 27th South Central D I College Womens Regionals 2024
197 Sam Houston** Win 13-1 0 216 0% Ignored (Why) Apr 27th South Central D I College Womens Regionals 2024
206 Texas-B** Win 15-1 0 336 0% Ignored (Why) Apr 27th South Central D I College Womens Regionals 2024
42 Texas-Dallas Loss 5-7 -1.52 114 8.11% Counts Apr 27th South Central D I College Womens Regionals 2024
34 Washington University Loss 4-15 -21 16 10.21% Counts (Why) Apr 28th South Central D I College Womens Regionals 2024
**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.