(20) #122 Boston College (9-12)

1075.76 (220)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
32 Central Florida** Loss 3-13 0 2 0% Ignored (Why) Feb 24th Mardi Gras XXXVI college
107 Florida State Loss 5-6 -0.72 272 3.73% Counts Feb 24th Mardi Gras XXXVI college
170 Jacksonville State Win 6-2 9.7 339 3.28% Counts (Why) Feb 24th Mardi Gras XXXVI college
155 Tulane Win 9-5 13.26 428 4.21% Counts (Why) Feb 24th Mardi Gras XXXVI college
221 LSU** Win 13-0 0 175 0% Ignored (Why) Feb 25th Mardi Gras XXXVI college
66 Trinity Loss 8-10 5.9 161 4.77% Counts Feb 25th Mardi Gras XXXVI college
94 Lehigh Loss 5-8 -13.66 105 5.11% Counts Mar 24th King of New York 2024
94 Lehigh Loss 6-10 -17.8 105 5.67% Counts Mar 24th King of New York 2024
236 SUNY-Cortland** Win 8-0 0 60 0% Ignored (Why) Mar 24th King of New York 2024
142 Ithaca Win 8-7 -1.77 286 5.49% Counts Mar 24th King of New York 2024
193 SUNY-Geneseo Win 9-5 -0.49 60 5.3% Counts (Why) Mar 24th King of New York 2024
94 Lehigh Loss 5-8 -13.66 105 5.11% Counts Mar 24th King of New York 2024
8 Tufts** Loss 2-15 0 164 0% Ignored (Why) Apr 20th Metro Boston D I Womens Conferences 2024
130 Boston University Win 12-7 39.3 6 7.78% Counts (Why) Apr 20th Metro Boston D I Womens Conferences 2024
90 MIT Loss 5-15 -31.17 394 7.78% Counts (Why) Apr 20th Metro Boston D I Womens Conferences 2024
78 Harvard Loss 9-10 13.85 18 7.78% Counts Apr 20th Metro Boston D I Womens Conferences 2024
27 Brown** Loss 3-15 0 5 0% Ignored (Why) May 4th New England D I College Womens Regionals 2024
68 Vermont-B Loss 4-11 -20.77 14 8.02% Counts (Why) May 4th New England D I College Womens Regionals 2024
90 MIT Loss 3-13 -35.35 394 8.74% Counts (Why) May 4th New England D I College Womens Regionals 2024
126 Massachusetts Win 10-8 21.36 125 8.5% Counts May 4th New England D I College Womens Regionals 2024
146 New Hampshire Win 12-7 32.22 131 8.74% Counts (Why) May 5th New England D I College Womens Regionals 2024
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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.