(2) #48 Missouri (12-6)

1514.77 (13)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
12 Alabama-Huntsville Loss 7-12 -2.51 3 5.68% Counts Feb 10th Queen City Tune Up 2024
72 Georgetown Win 13-8 20.91 30 5.68% Counts Feb 10th Queen City Tune Up 2024
29 South Carolina Loss 9-14 -18.36 52 5.68% Counts Feb 10th Queen City Tune Up 2024
92 Tennessee Loss 9-15 -45.97 16 5.68% Counts Feb 10th Queen City Tune Up 2024
66 Virginia Win 15-9 23.79 111 5.68% Counts Feb 11th Queen City Tune Up 2024
61 William & Mary Win 9-6 17.85 50 5.05% Counts Feb 11th Queen City Tune Up 2024
78 Carleton College-CHOP Win 10-7 15.28 7 6.39% Counts Mar 2nd Midwest Throwdown 2024
283 Knox** Win 13-3 0 146 0% Ignored (Why) Mar 2nd Midwest Throwdown 2024
255 St John's (Minnesota)** Win 13-3 0 168 0% Ignored (Why) Mar 2nd Midwest Throwdown 2024
161 Truman State Win 10-6 -1.71 49 6.2% Counts (Why) Mar 2nd Midwest Throwdown 2024
170 Minnesota-Duluth Win 9-4 2.13 109 5.59% Counts (Why) Mar 3rd Midwest Throwdown 2024
83 Northwestern Win 9-8 -3.71 140 6.39% Counts Mar 3rd Midwest Throwdown 2024
49 St Olaf Loss 8-9 -9.33 64 6.39% Counts Mar 3rd Midwest Throwdown 2024
53 Colorado State Win 12-10 15.91 118 7.58% Counts Mar 16th College Mens Centex Tier 1
139 LSU Win 11-5 12.7 13 6.96% Counts (Why) Mar 16th College Mens Centex Tier 1
44 Tulane Win 13-10 29.14 21 7.58% Counts Mar 16th College Mens Centex Tier 1
47 Oklahoma Christian Loss 5-8 -30 30 6.27% Counts Mar 16th College Mens Centex Tier 1
41 Florida Loss 7-10 -25.77 4 7.17% Counts Mar 17th College Mens Centex Tier 1
**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.