(8) #38 Ave Maria (19-1)

1815.95 (92)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
283 Texas State** Win 13-3 0 238 0% Ignored (Why) Feb 22nd Mardi Gras XXXVII
117 Mississippi State Win 13-5 8.64 264 5.14% Counts (Why) Feb 22nd Mardi Gras XXXVII
98 Tennessee-Chattanooga Win 13-10 -0.85 193 5.14% Counts Feb 22nd Mardi Gras XXXVII
71 Florida Win 12-10 1.76 262 5.14% Counts Feb 22nd Mardi Gras XXXVII
193 Miami (Florida)** Win 13-4 0 190 0% Ignored (Why) Mar 1st Florida Warm Up 2025 Weekend 2
333 Florida-B** Win 13-0 0 170 0% Ignored (Why) Mar 1st Florida Warm Up 2025 Weekend 2
229 Ave Maria-B** Win 13-4 0 178 0% Ignored (Why) Mar 2nd Florida Warm Up 2025 Weekend 2
397 South Florida-B** Win 13-0 0 173 0% Ignored (Why) Mar 2nd Florida Warm Up 2025 Weekend 2
229 Ave Maria-B** Win 13-1 0 178 0% Ignored (Why) Mar 2nd Florida Warm Up 2025 Weekend 2
66 Auburn Win 11-7 18.45 212 5.95% Counts Mar 15th Tally Classic XIX
128 LSU Win 15-3 8.15 349 6.12% Counts (Why) Mar 15th Tally Classic XIX
126 Central Florida Win 15-6 8.51 165 6.12% Counts (Why) Mar 15th Tally Classic XIX
132 Florida State Win 15-12 -15.69 244 7.71% Counts Apr 12th Florida D I Mens Conferences 2025
144 South Florida Win 15-4 6.06 176 7.71% Counts (Why) Apr 12th Florida D I Mens Conferences 2025
71 Florida Win 15-9 25.87 262 7.71% Counts Apr 13th Florida D I Mens Conferences 2025
68 Alabama-Huntsville Win 13-12 -5.78 166 8.65% Counts Apr 26th Southeast D I College Mens Regionals 2025
98 Tennessee-Chattanooga Win 15-9 16.27 193 8.65% Counts Apr 26th Southeast D I College Mens Regionals 2025
128 LSU Win 11-10 -33.14 349 8.65% Counts Apr 26th Southeast D I College Mens Regionals 2025
66 Auburn Loss 10-14 -54.38 212 8.65% Counts Apr 27th Southeast D I College Mens Regionals 2025
47 Emory Win 15-13 14.61 148 8.65% Counts Apr 27th Southeast D I College Mens Regionals 2025
**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.