(5) #32 William & Mary (18-6)

1746.68 (24)

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# Opponent Result Effect % of Ranking Status Date Event
114 Liberty Win 13-7 3.74 3.26% Feb 2nd Mid Atlantic Warmup 2019
87 Case Western Reserve Win 13-7 7.87 3.26% Feb 2nd Mid Atlantic Warmup 2019
157 Drexel** Win 13-5 0 0% Ignored Feb 2nd Mid Atlantic Warmup 2019
88 Tennessee-Chattanooga Win 11-9 -2.64 3.26% Feb 2nd Mid Atlantic Warmup 2019
151 SUNY-Binghamton Win 15-10 -4.41 3.26% Feb 3rd Mid Atlantic Warmup 2019
39 Vermont Loss 14-15 -5.59 3.26% Feb 3rd Mid Atlantic Warmup 2019
88 Tennessee-Chattanooga Win 15-11 1.81 3.26% Feb 3rd Mid Atlantic Warmup 2019
91 Mary Washington Win 15-12 -2.28 3.45% Feb 9th Virginia Showcase Series 2019 2919
120 James Madison Win 15-11 -3.34 3.88% Feb 23rd Virginia Showcase Series 22319
188 East Carolina Win 13-8 -10.64 4.61% Mar 16th Oak Creek Invite 2019
101 Connecticut Win 11-9 -6.83 4.61% Mar 16th Oak Creek Invite 2019
102 Georgetown Win 13-6 9.88 4.61% Mar 16th Oak Creek Invite 2019
110 Williams Win 13-6 8.18 4.61% Mar 16th Oak Creek Invite 2019
66 Penn State Win 15-12 4.3 4.61% Mar 17th Oak Creek Invite 2019
18 Michigan Loss 13-14 1.79 4.61% Mar 17th Oak Creek Invite 2019
47 Maryland Win 12-11 1.67 4.61% Mar 17th Oak Creek Invite 2019
85 Richmond Loss 14-16 -26.98 4.88% Mar 23rd Virginia Showcase Series 32319
4 Pittsburgh Loss 9-13 1.07 5.18% Mar 30th Easterns 2019 Men
49 Northwestern Win 12-10 7.05 5.18% Mar 30th Easterns 2019 Men
26 North Carolina-Wilmington Win 11-8 21.83 5.18% Mar 30th Easterns 2019 Men
20 Tufts Loss 9-13 -16.43 5.18% Mar 30th Easterns 2019 Men
17 Minnesota Loss 8-15 -19.67 5.18% Mar 31st Easterns 2019 Men
47 Maryland Win 12-10 8.06 5.18% Mar 31st Easterns 2019 Men
54 Virginia Tech Win 11-6 21.59 4.9% Mar 31st Easterns 2019 Men
**Blowout Eligible

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.