(18) #129 Maryland (2-7)

776.19 (9)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
69 Case Western Reserve Loss 5-14 -21.13 134 14.39% Counts (Why) Feb 25th Commonwealth Cup Weekend2 2023
44 Pennsylvania** Loss 2-15 0 147 0% Ignored (Why) Feb 25th Commonwealth Cup Weekend2 2023
99 MIT Loss 8-15 -60.11 201 14.39% Counts Feb 25th Commonwealth Cup Weekend2 2023
65 Carnegie Mellon Loss 5-13 -17.18 115 14.39% Counts (Why) Feb 26th Commonwealth Cup Weekend2 2023
56 Tennessee Loss 7-12 7.35 128 14.39% Counts Feb 26th Commonwealth Cup Weekend2 2023
85 Catholic Win 6-5 77.64 84 14.61% Counts Apr 2nd Kernel Kup
134 Johns Hopkins Loss 4-5 -25.18 119 13.22% Counts Apr 2nd Kernel Kup
19 Yale** Loss 2-8 0 219 0% Ignored (Why) Apr 2nd Kernel Kup
160 Towson Win 7-4 39.26 270 14.61% Counts (Why) Apr 2nd Kernel Kup
**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.