(27) #146 Clemson (12-9)

1318.35 (379)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
195 Alabama-Birmingham Loss 10-11 -15.32 315 4.84% Counts Feb 24th Joint Summit 2024
261 Georgia Tech-B Win 11-7 2.61 276 4.71% Counts Feb 24th Joint Summit 2024
346 Coastal Carolina** Win 12-2 0 305 0% Ignored (Why) Feb 24th Joint Summit 2024
183 South Florida Win 10-9 -0.35 320 4.84% Counts Feb 24th Joint Summit 2024
195 Alabama-Birmingham Win 13-12 -2.6 315 4.84% Counts Feb 25th Joint Summit 2024
325 South Carolina-B** Win 13-5 0 252 0% Ignored (Why) Feb 25th Joint Summit 2024
183 South Florida Win 13-8 18.53 320 4.84% Counts Feb 25th Joint Summit 2024
195 Alabama-Birmingham Win 10-9 -3.12 315 5.76% Counts Mar 16th Tally Classic XVIII
48 Auburn Loss 4-13 -8.31 335 5.76% Counts (Why) Mar 16th Tally Classic XVIII
82 Mississippi State Loss 6-13 -20.49 372 5.76% Counts (Why) Mar 16th Tally Classic XVIII
89 Florida State Loss 7-11 -13.89 304 5.6% Counts Mar 16th Tally Classic XVIII
195 Alabama-Birmingham Win 6-4 8.26 315 4.18% Counts (Why) Mar 17th Tally Classic XVIII
372 North Florida** Win 13-2 0 396 0% Ignored (Why) Mar 17th Tally Classic XVIII
203 Spring Hill Win 13-12 -4.89 285 5.76% Counts Mar 17th Tally Classic XVIII
50 Duke Loss 8-14 -6.4 182 7.25% Counts Apr 13th Carolina D I Mens Conferences 2024
2 North Carolina Loss 10-15 55.86 198 7.25% Counts Apr 13th Carolina D I Mens Conferences 2024
215 East Carolina Win 9-8 -9.41 204 6.86% Counts Apr 13th Carolina D I Mens Conferences 2024
27 North Carolina-Wilmington** Loss 6-15 0 261 0% Ignored (Why) Apr 13th Carolina D I Mens Conferences 2024
72 Appalachian State Loss 10-14 -6.91 302 7.25% Counts Apr 14th Carolina D I Mens Conferences 2024
196 Charleston Win 12-9 12.55 357 7.25% Counts Apr 14th Carolina D I Mens Conferences 2024
42 South Carolina Loss 4-15 -5.6 163 7.25% Counts (Why) Apr 14th Carolina D I Mens Conferences 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.