() #92 Alabama-Huntsville (9-8)

1196.4 (28)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
161 Mississippi State Win 8-6 0.34 26 4.11% Counts Mar 12th Tally Classic XVI
111 Georgia State Loss 6-8 -16.56 25 4.11% Counts Mar 12th Tally Classic XVI
26 Auburn Loss 6-12 -7.73 43 4.66% Counts Mar 12th Tally Classic XVI
274 Georgia Southern** Win 15-6 0 18 0% Ignored (Why) Mar 13th Tally Classic XVI
111 Georgia State Win 15-11 14.87 25 4.79% Counts Mar 13th Tally Classic XVI
161 Mississippi State Win 13-4 22.34 26 6.78% Counts (Why) Apr 23rd Gulf Coast D I College Mens CC 2022
57 Alabama Loss 8-9 6.34 28 6.41% Counts Apr 23rd Gulf Coast D I College Mens CC 2022
26 Auburn Loss 6-12 -11.15 43 6.59% Counts Apr 23rd Gulf Coast D I College Mens CC 2022
106 LSU Win 10-9 5.11 23 6.78% Counts Apr 24th Gulf Coast D I College Mens CC 2022
152 Jacksonville State Loss 7-12 -55.43 26 6.78% Counts Apr 24th Gulf Coast D I College Mens CC 2022
144 Alabama-Birmingham Win 12-4 26.01 25 6.5% Counts (Why) Apr 24th Gulf Coast D I College Mens CC 2022
89 Central Florida Win 10-9 10.55 21 7.18% Counts Apr 30th Southeast D I College Mens Regionals 2022
57 Alabama Loss 7-10 -12.53 28 6.79% Counts Apr 30th Southeast D I College Mens Regionals 2022
121 Tennessee-Chattanooga Win 10-9 0.68 29 7.18% Counts Apr 30th Southeast D I College Mens Regionals 2022
47 Florida Win 12-8 55.81 26 7.18% Counts Apr 30th Southeast D I College Mens Regionals 2022
57 Alabama Loss 7-11 -18.73 28 6.99% Counts May 1st Southeast D I College Mens Regionals 2022
53 Tulane Loss 8-13 -19.52 24 7.18% Counts May 1st Southeast D I College Mens Regionals 2022
**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.