(9) #139 New Hampshire (1-9)

614.53 (86)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
168 Cornell-B Loss 2-3 -30.7 12 8.02% Counts Mar 1st Garden State 2025
66 Wellesley Loss 3-6 9.82 165 10.76% Counts Mar 1st Garden State 2025
85 Yale Loss 2-4 -7.99 46 8.78% Counts Mar 1st Garden State 2025
121 Colby Win 4-3 28.43 112 9.49% Counts (Why) Mar 2nd Garden State 2025
56 Rochester Loss 2-4 23.54 95 8.78% Counts Mar 2nd Garden State 2025
69 NYU Loss 3-6 6.32 40 10.76% Counts Mar 2nd Garden State 2025
125 Bates Loss 6-7 -5.56 13.7% Counts Mar 9th Too Hot to Handle
121 Colby Loss 4-8 -63.43 112 13.16% Counts Mar 9th Too Hot to Handle
52 McGill** Loss 1-13 40.5 16.56% Counts (Why) Mar 9th Too Hot to Handle
66 Wellesley** Loss 3-8 0 165 0% Ignored (Why) Mar 9th Too Hot to Handle
**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.