(9) #103 Lehigh (15-4)

1170.49 (48)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
117 Boston University Win 7-6 -1.09 206 5.52% Counts Feb 24th Bring The Huckus 2024
127 Dartmouth Win 8-5 13.49 59 5.52% Counts (Why) Feb 24th Bring The Huckus 2024
54 Haverford/Bryn Mawr Loss 3-10 -12.95 17 5.83% Counts (Why) Feb 24th Bring The Huckus 2024
165 SUNY-Geneseo Win 10-5 0.11 76 5.93% Counts (Why) Feb 24th Bring The Huckus 2024
117 Boston University Loss 4-7 -34.25 206 5.08% Counts Feb 25th Bring The Huckus 2024
98 Rochester Loss 7-8 -4.94 73 5.93% Counts Feb 25th Bring The Huckus 2024
165 SUNY-Geneseo Win 10-7 -12.31 76 6.32% Counts Feb 25th Bring The Huckus 2024
218 William & Mary-B** Win 10-3 0 13 0% Ignored (Why) Mar 2nd Cherry Blossom Classic 2024
194 Miami (Florida)** Win 9-1 0 0 0% Ignored (Why) Mar 2nd Cherry Blossom Classic 2024
53 American Loss 6-9 -0.29 48 6.29% Counts Mar 3rd Cherry Blossom Classic 2024
144 Catholic Win 7-5 0.39 26 5.62% Counts Mar 3rd Cherry Blossom Classic 2024
151 George Washington Win 10-6 8.12 37 6.49% Counts (Why) Mar 3rd Cherry Blossom Classic 2024
120 Johns Hopkins Win 10-6 23.17 166 6.49% Counts (Why) Mar 3rd Cherry Blossom Classic 2024
142 Boston College Win 8-5 10.35 44 6.96% Counts (Why) Mar 24th King of New York 2024
142 Boston College Win 10-6 15.14 44 7.72% Counts (Why) Mar 24th King of New York 2024
142 Boston College Win 8-5 10.35 44 6.96% Counts (Why) Mar 24th King of New York 2024
164 Ithaca Win 6-4 -11.11 98 6.1% Counts (Why) Mar 24th King of New York 2024
165 SUNY-Geneseo Win 9-5 -3.36 76 7.22% Counts (Why) Mar 24th King of New York 2024
210 SUNY-Cortland** Win 9-3 0 76 0% Ignored (Why) Mar 24th King of New York 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.