(1) #50 Alabama (11-9)

1501.57 (3)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
137 Union (Tennessee) Win 11-7 2.55 16 4.37% Counts Feb 10th Golden Triangle Invitational
139 LSU Win 9-7 -5.91 13 4.12% Counts Feb 10th Golden Triangle Invitational
222 Mississippi State -B** Win 13-2 0 9 0% Ignored (Why) Feb 10th Golden Triangle Invitational
264 Jacksonville State** Win 15-2 0 6 0% Ignored (Why) Feb 10th Golden Triangle Invitational
87 Tennessee-Chattanooga Loss 12-13 -14.88 164 4.49% Counts Feb 11th Golden Triangle Invitational
52 Virginia Tech Loss 10-13 -18.79 43 5.04% Counts Feb 24th Easterns Qualifier 2024
38 Duke Loss 10-13 -12.68 16 5.04% Counts Feb 24th Easterns Qualifier 2024
16 Penn State Loss 6-13 -9.57 59 5.04% Counts (Why) Feb 24th Easterns Qualifier 2024
58 Maryland Win 13-5 28.73 25 5.04% Counts (Why) Feb 24th Easterns Qualifier 2024
76 Purdue Loss 10-11 -14.29 56 5.04% Counts Feb 25th Easterns Qualifier 2024
60 Temple Win 14-9 21.61 34 5.04% Counts Feb 25th Easterns Qualifier 2024
74 Cincinnati Win 15-6 24.39 6 5.04% Counts (Why) Feb 25th Easterns Qualifier 2024
27 Georgia Tech Loss 9-15 -14.69 17 5.04% Counts Feb 25th Easterns Qualifier 2024
49 St Olaf Loss 9-13 -30.07 64 6.73% Counts Mar 30th Huck Finn 2024
19 Washington University Loss 7-12 -11.31 112 6.73% Counts Mar 30th Huck Finn 2024
66 Virginia Win 10-7 19.18 111 6.36% Counts Mar 30th Huck Finn 2024
76 Purdue Win 12-8 21.4 56 6.73% Counts Mar 30th Huck Finn 2024
83 Northwestern Loss 10-12 -29.15 140 6.73% Counts Mar 31st Huck Finn 2024
91 Indiana Win 13-3 26.62 100 6.73% Counts (Why) Mar 31st Huck Finn 2024
66 Virginia Win 12-9 17.16 111 6.73% Counts Mar 31st Huck Finn 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.