(8) #146 New Hampshire (7-13)

891.89 (131)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
175 Amherst Win 9-8 -3.55 339 4.74% Counts Mar 3rd Grand Northeast Kickoff
109 Brandeis Loss 7-14 -16.28 48 5.01% Counts Mar 3rd Grand Northeast Kickoff
109 Brandeis Loss 4-14 -18.26 48 5.3% Counts (Why) Mar 9th Live Free or Sky 2024
73 Wellesley Loss 2-15 -5.61 78 5.3% Counts (Why) Mar 9th Live Free or Sky 2024
175 Amherst Win 7-4 15.11 339 4.8% Counts (Why) Mar 30th Northeast Classic 2024
185 Bowdoin Win 9-5 12.75 67 5.41% Counts (Why) Mar 30th Northeast Classic 2024
101 Rhode Island Loss 3-8 -14.36 141 4.91% Counts (Why) Mar 30th Northeast Classic 2024
130 Boston University Win 8-5 32.07 6 5.22% Counts (Why) Mar 31st Northeast Classic 2024
81 Wesleyan Loss 6-11 -5.41 81 5.97% Counts Mar 31st Northeast Classic 2024
73 Wellesley Loss 6-9 4.83 78 5.6% Counts Mar 31st Northeast Classic 2024
101 Rhode Island Loss 4-7 -8.79 141 4.8% Counts Mar 31st Northeast Classic 2024
27 Brown** Loss 1-13 0 5 0% Ignored (Why) Apr 13th Greater New England D I Womens Conferences 2024
- Maine** Win 12-3 0 0% Ignored (Why) Apr 13th Greater New England D I Womens Conferences 2024
126 Massachusetts Loss 7-8 1.75 125 6.29% Counts Apr 13th Greater New England D I Womens Conferences 2024
126 Massachusetts Win 10-4 49.52 125 6.19% Counts (Why) Apr 13th Greater New England D I Womens Conferences 2024
78 Harvard Loss 4-9 -9.51 18 6.96% Counts (Why) May 4th New England D I College Womens Regionals 2024
181 Vermont-C Win 10-6 18.02 511 7.73% Counts (Why) May 4th New England D I College Womens Regionals 2024
21 Northeastern** Loss 2-15 0 142 0% Ignored (Why) May 4th New England D I College Womens Regionals 2024
101 Rhode Island Loss 4-10 -22.09 141 7.36% Counts (Why) May 4th New England D I College Womens Regionals 2024
122 Boston College Loss 7-12 -30.95 220 8.42% Counts May 5th New England D I College Womens Regionals 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.