(13) #104 Alabama (14-10)

1238.96 (10)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
160 LSU Win 13-6 13.43 36 3.66% Counts (Why) Jan 25th T Town Throwdown XX
110 Berry Loss 12-13 -5.95 26 3.66% Counts Jan 25th T Town Throwdown XX
268 Harding** Win 13-0 0 68 0% Ignored (Why) Jan 25th T Town Throwdown XX
373 Tennessee-Chattanooga -B** Win 13-0 0 45 0% Ignored (Why) Jan 25th T Town Throwdown XX
250 Illinois State** Win 13-4 0 59 0% Ignored (Why) Jan 26th T Town Throwdown XX
172 Alabama-Birmingham Win 15-10 6.27 16 3.66% Counts Jan 26th T Town Throwdown XX
135 Mississippi State Win 15-12 6.57 23 3.66% Counts Jan 26th T Town Throwdown XX
110 Berry Loss 12-15 -12.62 26 3.66% Counts Jan 26th T Town Throwdown XX
27 South Carolina Loss 9-13 5.56 50 4.36% Counts Feb 15th Queen City Tune Up 2025
37 North Carolina-Wilmington Win 13-11 28.46 84 4.36% Counts Feb 15th Queen City Tune Up 2025
75 Carnegie Mellon Loss 9-13 -13.04 26 4.36% Counts Feb 15th Queen City Tune Up 2025
101 Yale Loss 7-8 -4.09 46 3.87% Counts Feb 16th Queen City Tune Up 2025
65 Tennessee Loss 7-9 -2.7 83 4% Counts Feb 16th Queen City Tune Up 2025
232 Georgia Southern Win 13-2 1.9 184 4.62% Counts (Why) Feb 22nd Mardi Gras XXXVII
209 Arkansas Win 13-6 5.96 93 4.62% Counts (Why) Feb 22nd Mardi Gras XXXVII
79 Florida Loss 10-13 -10.61 41 4.62% Counts Feb 22nd Mardi Gras XXXVII
94 Tennessee-Chattanooga Win 13-12 8.01 4 4.62% Counts Feb 22nd Mardi Gras XXXVII
194 Saint Louis Win 13-8 7.17 10 6.16% Counts Mar 29th Huck Finn 2025
63 Notre Dame Loss 7-14 -23.79 277 6.16% Counts Mar 29th Huck Finn 2025
77 Iowa State Loss 7-12 -26.88 79 6.16% Counts Mar 29th Huck Finn 2025
72 Southern Illinois-Edwardsville Loss 6-15 -29.04 146 6.16% Counts (Why) Mar 29th Huck Finn 2025
194 Saint Louis Win 11-8 -1.4 10 6.16% Counts Mar 30th Huck Finn 2025
135 Mississippi State Win 11-6 25.93 23 5.83% Counts (Why) Mar 30th Huck Finn 2025
90 Missouri S&T Win 9-7 20.12 72 5.65% Counts Mar 30th Huck Finn 2025
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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.