(13) #70 Lehigh (16-8)

1526.73 (77)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
168 Johns Hopkins Win 15-9 2.8 77 3.58% Counts Feb 18th Blue Hen Open
97 Delaware Win 14-13 0.64 34 3.58% Counts Feb 18th Blue Hen Open
82 Binghamton Loss 12-13 -7.07 42 3.58% Counts Feb 18th Blue Hen Open
167 Virginia Commonwealth Win 15-11 -2.06 62 3.58% Counts Feb 19th Blue Hen Open
76 Princeton Win 13-6 20.69 62 3.58% Counts (Why) Feb 19th Blue Hen Open
82 Binghamton Win 12-11 2.22 42 3.58% Counts Feb 19th Blue Hen Open
286 Maryland-Baltimore County** Win 13-1 0 72 0% Ignored (Why) Mar 4th Oak Creek Challenge 2023
168 Johns Hopkins Win 13-8 2.35 77 4.02% Counts Mar 4th Oak Creek Challenge 2023
175 Rowan Win 13-5 5.09 89 4.02% Counts (Why) Mar 4th Oak Creek Challenge 2023
67 Virginia Tech Win 13-8 21.91 99 4.02% Counts Mar 5th Oak Creek Challenge 2023
124 Towson Win 13-8 10 66 4.02% Counts Mar 5th Oak Creek Challenge 2023
157 Yale Win 13-4 8.32 12 4.02% Counts (Why) Mar 5th Oak Creek Challenge 2023
37 McGill Loss 10-13 -4.09 22 4.78% Counts Mar 25th Carousel City Classic
177 Rochester Win 12-4 5.46 120 4.59% Counts (Why) Mar 25th Carousel City Classic
62 Harvard Loss 9-15 -23.78 22 4.78% Counts Mar 25th Carousel City Classic
31 Ottawa Loss 5-15 -14.92 52 4.78% Counts (Why) Mar 26th Carousel City Classic
82 Binghamton Loss 11-12 -9.56 42 4.78% Counts Mar 26th Carousel City Classic
62 Harvard Loss 6-11 -23.91 22 4.52% Counts Mar 26th Carousel City Classic
167 Virginia Commonwealth Win 13-9 -0.96 62 5.07% Counts Apr 1st Atlantic Coast Open 2023
147 Connecticut Win 13-5 12.59 8 5.07% Counts (Why) Apr 1st Atlantic Coast Open 2023
63 Rutgers Win 13-7 32.01 39 5.07% Counts (Why) Apr 1st Atlantic Coast Open 2023
106 Liberty Win 15-14 -3.14 80 5.07% Counts Apr 2nd Atlantic Coast Open 2023
33 Duke Loss 8-15 -16.06 34 5.07% Counts Apr 2nd Atlantic Coast Open 2023
45 Georgetown Loss 6-11 -18.97 15 4.79% Counts Apr 2nd Atlantic Coast Open 2023
**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.