() #100 Case Western Reserve (6-16)

905.86 (50)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
20 Virginia Loss 6-10 7.51 15 3.85% Counts Feb 12th Queen City Tune Up 2022
7 Tufts** Loss 0-13 0 53 0% Ignored (Why) Feb 12th Queen City Tune Up 2022
47 Florida Loss 7-10 -0.27 50 3.97% Counts Feb 12th Queen City Tune Up 2022
73 Notre Dame Loss 7-10 -9.31 38 3.97% Counts Feb 13th Queen City Tune Up 2022
44 William & Mary Win 9-6 32.5 25 3.73% Counts Feb 13th Queen City Tune Up 2022
15 Georgia Loss 6-13 8.82 58 4.2% Counts (Why) Feb 13th Queen City Tune Up 2022
20 Virginia** Loss 2-6 0 15 0% Ignored (Why) Feb 13th Queen City Tune Up 2022
149 North Carolina-Wilmington Win 12-6 12.58 57 4.58% Counts (Why) Feb 26th Commonwealth Cup Weekend 2
30 Georgia Tech Loss 5-15 -2.32 52 4.71% Counts (Why) Feb 26th Commonwealth Cup Weekend 2
58 Temple Loss 5-12 -15.04 52 4.52% Counts (Why) Feb 26th Commonwealth Cup Weekend 2
139 Auburn Win 13-9 7.56 54 4.71% Counts Feb 27th Commonwealth Cup Weekend 2
48 Penn State Loss 7-9 4.08 55 4.32% Counts Feb 27th Commonwealth Cup Weekend 2
207 Miami (Ohio)** Win 9-2 0 54 0% Ignored (Why) Apr 23rd Ohio D I College Womens CC 2022
61 Ohio State Loss 5-8 -12.26 48 6.18% Counts Apr 23rd Ohio D I College Womens CC 2022
- Cincinnati Win 8-5 3.54 52 6.18% Counts (Why) Apr 24th Ohio D I College Womens CC 2022
24 Ohio Loss 4-11 -0.03 57 6.86% Counts (Why) Apr 24th Ohio D I College Womens CC 2022
135 Dayton Win 12-2 26.32 52 7.18% Counts (Why) Apr 24th Ohio D I College Womens CC 2022
58 Temple Loss 6-11 -22.8 52 7.94% Counts May 7th Ohio Valley D I College Womens Regionals 2022
13 Pittsburgh** Loss 2-11 0 58 0% Ignored (Why) May 7th Ohio Valley D I College Womens Regionals 2022
84 West Chester Loss 7-10 -25.27 67 7.94% Counts May 7th Ohio Valley D I College Womens Regionals 2022
61 Ohio State Loss 5-10 -24.67 48 7.46% Counts May 7th Ohio Valley D I College Womens Regionals 2022
50 Carnegie Mellon Loss 7-9 7.1 56 7.7% Counts May 8th Ohio Valley D I College Womens Regionals 2022
**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.