(2) #124 Denver (12-6)

1146.36 (36)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
181 Arizona Win 17-8 24.38 26 6.37% Counts (Why) Jan 25th New Year Fest 2025
376 Arizona State-B** Win 17-1 0 51 0% Ignored (Why) Jan 25th New Year Fest 2025
263 Northern Arizona Win 17-5 0.76 40 6.37% Counts (Why) Jan 25th New Year Fest 2025
359 Denver-B** Win 13-2 0 10 0% Ignored (Why) Jan 26th New Year Fest 2025
106 San Diego State Loss 7-11 -25.31 42 6.2% Counts Jan 26th New Year Fest 2025
187 North Carolina-B Win 9-6 9.85 79 6.73% Counts Feb 15th 2025 Commonwealth Cup Weekend 1
164 Ohio Win 7-4 19.97 115 5.76% Counts (Why) Feb 15th 2025 Commonwealth Cup Weekend 1
256 Illinois-B Win 9-3 2.28 41 6.26% Counts (Why) Feb 15th 2025 Commonwealth Cup Weekend 1
45 Elon Loss 1-11 -10.55 22 6.95% Counts (Why) Feb 15th 2025 Commonwealth Cup Weekend 1
131 Pittsburgh-B Win 12-11 8.19 64 7.57% Counts Feb 16th 2025 Commonwealth Cup Weekend 1
45 Elon Loss 4-9 -9.44 22 6.26% Counts (Why) Feb 16th 2025 Commonwealth Cup Weekend 1
338 Colorado Mesa** Win 13-0 0 13 0% Ignored (Why) Mar 1st Snow Melt 2025
368 Colorado Mines-B** Win 13-0 0 15 0% Ignored (Why) Mar 1st Snow Melt 2025
34 Lewis & Clark Loss 4-13 -8.08 78 8.5% Counts (Why) Mar 1st Snow Melt 2025
165 Montana State Loss 7-8 -24.25 11 7.55% Counts Mar 1st Snow Melt 2025
262 California-B Win 15-6 1.16 22 8.5% Counts (Why) Mar 2nd Snow Melt 2025
76 Colorado College Loss 14-15 9.13 20 8.5% Counts Mar 2nd Snow Melt 2025
261 Colorado State-B Win 15-1 1.69 16 8.5% Counts (Why) Mar 2nd Snow Melt 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.