(9) #101 Berry (19-3)

1462.45 (255)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
100 Alabama Win 13-12 5.85 227 4.37% Counts Jan 25th T Town Throwdown XX
238 Illinois State Win 13-7 0.9 312 4.37% Counts (Why) Jan 25th T Town Throwdown XX
393 Tennessee-Chattanooga -B** Win 13-1 0 229 0% Ignored (Why) Jan 25th T Town Throwdown XX
128 LSU Win 13-9 13.57 349 4.37% Counts Jan 25th T Town Throwdown XX
100 Alabama Win 15-12 13.87 227 4.37% Counts Jan 26th T Town Throwdown XX
284 Harding** Win 13-2 0 225 0% Ignored (Why) Jan 26th T Town Throwdown XX
185 Union (Tennessee) Win 13-11 -4.77 250 4.37% Counts Jan 26th T Town Throwdown XX
128 LSU Win 15-8 20.25 349 4.37% Counts (Why) Jan 26th T Town Throwdown XX
303 Tennessee Tech Win 13-7 -12.02 222 4.9% Counts (Why) Feb 8th Bulldog Brawl
320 Mississippi State-B** Win 13-2 0 266 0% Ignored (Why) Feb 8th Bulldog Brawl
87 Missouri S&T Loss 11-13 -9.47 212 4.9% Counts Feb 8th Bulldog Brawl
190 Vanderbilt Win 13-9 3.22 104 4.9% Counts Feb 8th Bulldog Brawl
117 Mississippi State Win 15-13 6.55 264 4.9% Counts Feb 9th Bulldog Brawl
93 Southern Illinois-Edwardsville Loss 14-15 -5.15 91 4.9% Counts Feb 9th Bulldog Brawl
151 Lipscomb Win 13-10 7.1 157 4.9% Counts Feb 9th Bulldog Brawl
184 Georgia State Loss 14-15 -31.72 299 6.54% Counts Mar 15th Tally Classic XIX
230 Harvard Win 15-9 0.72 247 6.54% Counts Mar 15th Tally Classic XIX
174 Minnesota-Duluth Win 11-10 -10.98 439 6.54% Counts Mar 15th Tally Classic XIX
359 Georgia College** Win 15-6 0 270 0% Ignored (Why) Apr 12th Southeast D III Mens Conferences 2025
228 Embry-Riddle Win 15-8 5.77 371 8.25% Counts (Why) Apr 12th Southeast D III Mens Conferences 2025
259 Florida Tech Win 15-7 -1.68 7 8.25% Counts (Why) Apr 13th Southeast D III Mens Conferences 2025
185 Union (Tennessee) Win 15-12 -2.94 250 8.25% Counts Apr 13th Southeast D III Mens Conferences 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.