(1) #57 Carleton College-CHOP (13-4)

1758.63 (262)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
80 North Carolina-Charlotte Loss 11-13 -29.66 268 6.56% Counts Feb 1st Carolina Kickoff mens 2025
47 North Carolina State Loss 11-13 -12.01 230 6.56% Counts Feb 1st Carolina Kickoff mens 2025
97 Temple Win 13-9 9.74 347 6.56% Counts Feb 1st Carolina Kickoff mens 2025
98 Appalachian State Win 15-7 22.35 271 6.56% Counts (Why) Feb 2nd Carolina Kickoff mens 2025
64 Case Western Reserve Loss 12-15 -25.39 251 6.56% Counts Feb 2nd Carolina Kickoff mens 2025
97 Temple Win 15-10 12.2 347 6.56% Counts Feb 2nd Carolina Kickoff mens 2025
157 Minnesota-B Win 12-6 2.8 302 6.76% Counts (Why) Feb 8th Gopher Dome 2025
159 Wisconsin-Eau Claire Win 13-4 4.08 276 6.95% Counts (Why) Feb 8th Gopher Dome 2025
145 Macalester Win 13-3 8.7 238 6.95% Counts (Why) Feb 8th Gopher Dome 2025
327 Minnesota-C** Win 13-1 0 0% Ignored (Why) Feb 8th Gopher Dome 2025
87 St Olaf Win 13-7 24.76 220 6.95% Counts (Why) Feb 8th Gopher Dome 2025
211 Air Force** Win 13-2 0 263 0% Ignored (Why) Mar 1st D III River City Showdown 2025
294 Navy** Win 13-2 0 233 0% Ignored (Why) Mar 1st D III River City Showdown 2025
99 Oberlin Win 13-6 27.83 283 8.26% Counts (Why) Mar 1st D III River City Showdown 2025
94 North Carolina-Asheville Loss 9-11 -46.18 149 8.26% Counts Mar 2nd D III River City Showdown 2025
78 Richmond Win 11-10 -4.46 304 8.26% Counts Mar 2nd D III River City Showdown 2025
136 Puget Sound Win 13-8 5.09 206 8.26% Counts Mar 2nd D III River City Showdown 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.