(4) #34 William & Mary (23-5)

1648.2 (8)

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# Opponent Result Effect % of Ranking Status Date Event
44 Illinois Loss 8-11 -13.51 3.08% Feb 3rd Mid Atlantic Warmup 2018
145 Drexel Win 9-3 2.65 2.55% Feb 3rd Mid Atlantic Warmup 2018
227 Syracuse Win 13-7 -8.09 3.08% Feb 3rd Mid Atlantic Warmup 2018
109 Williams Win 13-3 7.89 3.08% Feb 3rd Mid Atlantic Warmup 2018
48 Dartmouth Loss 11-12 -6.61 3.08% Feb 4th Mid Atlantic Warmup 2018
194 George Washington** Win 15-6 0 0% Ignored Feb 4th Mid Atlantic Warmup 2018
78 Georgetown Win 8-7 -3.05 2.74% Feb 4th Mid Atlantic Warmup 2018
124 Indiana Loss 9-13 -30.13 3.46% Feb 17th Easterns Qualifier 2018
64 North Carolina-Charlotte Win 10-8 2.68 3.37% Feb 17th Easterns Qualifier 2018
113 Lehigh Win 13-7 6.93 3.46% Feb 17th Easterns Qualifier 2018
102 Richmond Win 13-7 8.47 3.46% Feb 17th Easterns Qualifier 2018
224 Georgia Southern** Win 13-5 0 0% Ignored Feb 17th Easterns Qualifier 2018
124 Indiana Win 11-9 -6.19 3.46% Feb 18th Easterns Qualifier 2018
12 North Carolina State Loss 10-12 1.17 3.46% Feb 18th Easterns Qualifier 2018
66 Kennesaw State Win 14-9 10.17 3.46% Feb 18th Easterns Qualifier 2018
169 Johns Hopkins Win 13-5 0.57 4.36% Mar 17th Oak Creek Invite 2018
119 Bates Win 12-11 -11.79 4.36% Mar 17th Oak Creek Invite 2018
134 Princeton Win 13-11 -11.15 4.36% Mar 17th Oak Creek Invite 2018
91 Penn State Win 12-9 3.24 4.36% Mar 17th Oak Creek Invite 2018
61 James Madison Win 15-14 -2.31 4.36% Mar 18th Oak Creek Invite 2018
60 Cornell Win 14-13 -2.28 4.36% Mar 18th Oak Creek Invite 2018
33 Maryland Win 13-10 16.61 4.36% Mar 18th Oak Creek Invite 2018
117 Pennsylvania Win 12-8 3.11 4.62% Mar 24th Atlantic Coast Open 2018
167 North Carolina-B Win 12-7 -2.98 4.62% Mar 24th Atlantic Coast Open 2018
22 Tufts Loss 11-12 -1.12 4.62% Mar 24th Atlantic Coast Open 2018
61 James Madison Win 15-6 20.55 4.62% Mar 25th Atlantic Coast Open 2018
78 Georgetown Win 13-10 4.6 4.62% Mar 25th Atlantic Coast Open 2018
22 Tufts Win 10-9 10.99 4.62% Mar 25th Atlantic Coast Open 2018
**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.