(11) #56 Maryland (12-8)

1698.67 (166)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
71 Central Florida Loss 8-9 -14.93 165 5.31% Counts Feb 22nd 2025 Commonwealth Cup Weekend 2
76 Columbia Loss 6-7 -15.37 8 4.64% Counts Feb 22nd 2025 Commonwealth Cup Weekend 2
34 Ohio Loss 4-10 -17.54 23 4.9% Counts (Why) Feb 22nd 2025 Commonwealth Cup Weekend 2
145 Boston College** Win 14-6 0 271 0% Ignored (Why) Feb 23rd 2025 Commonwealth Cup Weekend 2
60 Purdue Win 12-5 31.82 429 5.39% Counts (Why) Feb 23rd 2025 Commonwealth Cup Weekend 2
37 American Loss 2-5 -15.05 20 3.61% Counts (Why) Mar 1st Cherry Blossom Classic 2025
91 Brown-B Win 11-5 15.24 73 5.46% Counts (Why) Mar 1st Cherry Blossom Classic 2025
113 George Washington Win 8-0 5.5 86 4.63% Counts (Why) Mar 1st Cherry Blossom Classic 2025
227 Pennsylvania-B Win 5-2 -29.03 77 3.61% Counts (Why) Mar 1st Cherry Blossom Classic 2025
37 American Loss 3-9 -20.79 20 4.92% Counts (Why) Mar 2nd Cherry Blossom Classic 2025
168 Miami (Florida)** Win 11-1 0 37 0% Ignored (Why) Mar 2nd Cherry Blossom Classic 2025
100 SUNY-Buffalo Win 10-1 11.94 46 5.19% Counts (Why) Mar 2nd Cherry Blossom Classic 2025
77 Penn State Win 9-6 12.11 100 5.28% Counts Mar 2nd Cherry Blossom Classic 2025
119 Yale Win 9-8 -29.93 813 7.09% Counts Mar 29th East Coast Invite 2025
77 Penn State Win 6-4 9.44 100 5.44% Counts (Why) Mar 29th East Coast Invite 2025
78 Mount Holyoke Win 11-4 28.98 6.88% Counts (Why) Mar 29th East Coast Invite 2025
23 Pennsylvania Loss 7-10 12.01 99 7.09% Counts Mar 29th East Coast Invite 2025
28 Georgia Loss 4-9 -15.66 69 6.2% Counts (Why) Mar 30th East Coast Invite 2025
20 Virginia Loss 7-11 8.13 82 7.29% Counts Mar 30th East Coast Invite 2025
64 South Carolina Win 10-7 24.84 27 7.09% Counts Mar 30th East Coast Invite 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.