(6) #179 Missouri S&T (11-10)

904.1 (36)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
254 Oklahoma State Win 10-8 -1.98 14 4.52% Counts Feb 17th Dust Bowl 2024
209 Oklahoma Win 9-7 7.09 77 4.26% Counts Feb 17th Dust Bowl 2024
253 Nebraska Win 13-7 12.61 18 4.64% Counts (Why) Feb 17th Dust Bowl 2024
218 Texas-Dallas Loss 10-11 -13.2 23 4.64% Counts Feb 18th Dust Bowl 2024
161 Truman State Loss 5-15 -24.9 49 4.64% Counts (Why) Feb 18th Dust Bowl 2024
209 Oklahoma Win 15-11 12.71 77 4.64% Counts Feb 18th Dust Bowl 2024
125 Davidson Loss 8-13 -13.95 6 5.21% Counts Mar 2nd FCS D III Tune Up 2024
80 Lewis & Clark Loss 11-13 11.36 16 5.21% Counts Mar 2nd FCS D III Tune Up 2024
150 Navy Loss 9-13 -15.85 45 5.21% Counts Mar 2nd FCS D III Tune Up 2024
122 Oberlin Loss 7-13 -16.99 43 5.21% Counts Mar 2nd FCS D III Tune Up 2024
226 Embry-Riddle Loss 10-13 -27.61 0 5.21% Counts Mar 3rd FCS D III Tune Up 2024
199 Messiah Win 13-11 8.63 7 5.21% Counts Mar 3rd FCS D III Tune Up 2024
163 Xavier Loss 7-13 -26.83 32 5.21% Counts Mar 3rd FCS D III Tune Up 2024
351 Kansas State** Win 13-2 0 29 0% Ignored (Why) Mar 23rd Free State Classic
335 Wichita State** Win 13-3 0 6 0% Ignored (Why) Mar 23rd Free State Classic
180 Wisconsin-La Crosse Win 11-7 29.59 106 6.03% Counts Mar 23rd Free State Classic
254 Oklahoma State Win 12-7 14.26 14 6.2% Counts (Why) Mar 23rd Free State Classic
188 John Brown Loss 8-9 -10.38 18 5.86% Counts Mar 24th Free State Classic
253 Nebraska Win 12-6 18.03 18 6.03% Counts (Why) Mar 24th Free State Classic
161 Truman State Win 9-8 13.3 49 5.86% Counts Mar 24th Free State Classic
49 St Olaf Loss 12-14 24.98 64 6.2% Counts Mar 24th Free State Classic
**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.