(8) #75 Columbia (8-10)

1374.91 (75)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
94 Duke Win 15-3 33.46 43 6.36% Counts (Why) Feb 24th Commonwealth Cup Weekend 2 2024
104 Massachusetts Loss 8-9 -21.22 38 6.01% Counts Feb 24th Commonwealth Cup Weekend 2 2024
163 Temple** Win 11-2 0 113 0% Ignored (Why) Feb 24th Commonwealth Cup Weekend 2 2024
31 Brown Loss 5-6 19.03 25 4.84% Counts Feb 25th Commonwealth Cup Weekend 2 2024
74 Harvard Loss 5-7 -17.06 19 5.05% Counts Feb 25th Commonwealth Cup Weekend 2 2024
94 Duke Win 5-3 13.4 43 4.13% Counts (Why) Feb 25th Commonwealth Cup Weekend 2 2024
135 NYU Win 9-5 3.99 176 5.78% Counts (Why) Mar 2nd No Sleep till Brooklyn 2024
80 Williams Loss 6-7 -9.21 34 5.57% Counts Mar 2nd No Sleep till Brooklyn 2024
176 SUNY-Stony Brook** Win 10-4 0 244 0% Ignored (Why) Mar 2nd No Sleep till Brooklyn 2024
125 Mount Holyoke Win 7-4 4.78 39 5.13% Counts (Why) Mar 3rd No Sleep till Brooklyn 2024
85 Wellesley Win 5-4 3.11 80 4.64% Counts Mar 3rd No Sleep till Brooklyn 2024
58 Cornell Loss 5-8 -17.76 21 5.57% Counts Mar 3rd No Sleep till Brooklyn 2024
90 Carnegie Mellon Loss 6-7 -15.79 181 7.02% Counts Mar 30th East Coast Invite 2024
17 Pennsylvania Loss 6-13 13.89 5 8.49% Counts (Why) Mar 30th East Coast Invite 2024
29 Wisconsin Loss 4-13 -5.69 98 8.49% Counts (Why) Mar 30th East Coast Invite 2024
41 SUNY-Binghamton Loss 8-11 -3.43 76 8.49% Counts Mar 30th East Coast Invite 2024
61 Penn State Loss 5-8 -24.54 69 7.02% Counts Mar 31st East Coast Invite 2024
114 West Chester Win 10-1 22.89 139 7.41% Counts (Why) Mar 31st East Coast Invite 2024
**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.