(5) #60 Cornell (11-6)

1198.09 (33)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
25 Brown Loss 5-13 -16.76 13 6.7% Counts (Why) Mar 19th Jersey Devil
26 Williams Loss 5-13 -16.8 45 6.7% Counts (Why) Mar 19th Jersey Devil
33 Yale Win 10-6 49.44 30 6.15% Counts (Why) Mar 19th Jersey Devil
61 Haverford Win 10-6 32.19 44 6.15% Counts (Why) Mar 20th Jersey Devil
99 George Mason Win 10-5 23.95 35 6.68% Counts (Why) Apr 2nd Atlantic Coast Open
160 Richmond** Win 14-2 0 32 0% Ignored (Why) Apr 2nd Atlantic Coast Open
97 Mary Washington Loss 7-10 -47.06 38 7.11% Counts Apr 2nd Atlantic Coast Open
196 Cornell-B** Win 15-1 0 20 0% Ignored (Why) Apr 2nd Atlantic Coast Open
126 George Washington Win 12-4 12.85 4 7.21% Counts (Why) Apr 3rd Atlantic Coast Open
97 Mary Washington Win 9-4 24.86 38 6.22% Counts (Why) Apr 3rd Atlantic Coast Open
- Syracuse Win 5-4 -20.52 56 5.48% Counts Apr 10th Western NY D I College Womens CC 2022
- RIT** Win 11-1 0 56 0% Ignored (Why) Apr 10th Western NY D I College Womens CC 2022
22 SUNY-Binghamton Loss 3-7 -12.8 34 5.78% Counts (Why) Apr 10th Western NY D I College Womens CC 2022
104 Connecticut Win 11-7 19.07 36 9.22% Counts Apr 30th Metro East D I College Womens Regionals 2022
138 SUNY-Stony Brook Win 10-7 -11.12 36 8.96% Counts Apr 30th Metro East D I College Womens Regionals 2022
22 SUNY-Binghamton Loss 6-10 -9.98 34 8.69% Counts Apr 30th Metro East D I College Womens Regionals 2022
33 Yale Loss 6-11 -28.33 30 8.96% Counts May 1st Metro East 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.