(1) #149 Davidson (10-8)

1054.75 (54)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
255 Wake Forest Win 13-4 7.6 9 5.45% Counts (Why) Feb 15th 2025 Commonwealth Cup Weekend 1
241 Michigan-B Win 13-3 10.81 180 5.45% Counts (Why) Feb 15th 2025 Commonwealth Cup Weekend 1
131 Pittsburgh-B Loss 7-8 -2.98 64 4.84% Counts Feb 15th 2025 Commonwealth Cup Weekend 1
45 Elon Loss 9-13 7.6 22 5.45% Counts Feb 16th 2025 Commonwealth Cup Weekend 1
131 Pittsburgh-B Win 11-8 24.92 64 5.45% Counts Feb 16th 2025 Commonwealth Cup Weekend 1
78 Richmond Loss 7-13 -17.23 68 6.12% Counts Feb 28th D III River City Showdown 2025
125 Puget Sound Loss 7-10 -18.67 28 5.79% Counts Mar 1st D III River City Showdown 2025
163 Messiah Win 11-10 3.38 150 6.12% Counts Mar 1st D III River City Showdown 2025
99 Oberlin Loss 10-13 -7.61 82 6.12% Counts Mar 1st D III River City Showdown 2025
143 Michigan Tech Win 11-10 8.68 73 6.12% Counts Mar 2nd D III River City Showdown 2025
240 Xavier Win 10-9 -18.61 9 6.12% Counts Mar 2nd D III River City Showdown 2025
145 Kenyon Win 10-9 8.43 4 6.12% Counts Mar 2nd D III River City Showdown 2025
89 North Carolina-Asheville Loss 6-13 -29.46 44 7.71% Counts (Why) Mar 29th Easterns 2025
34 Lewis & Clark** Loss 3-13 0 78 0% Ignored (Why) Mar 29th Easterns 2025
163 Messiah Loss 8-12 -42.97 150 7.71% Counts Mar 29th Easterns 2025
396 Mary Washington** Win 13-2 0 0% Ignored (Why) Mar 29th Easterns 2025
206 Christopher Newport Win 15-8 24.09 84 7.71% Counts (Why) Mar 30th Easterns 2025
171 Dickinson Win 15-6 41.64 75 7.71% Counts (Why) Mar 30th Easterns 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.