(5) #120 James Madison (13-14)

1282.8 (5)

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# Opponent Result Effect % of Ranking Status Date Event
113 Davidson Loss 10-12 -6.7 2.97% Feb 2nd Mid Atlantic Warmup 2019
114 Liberty Win 13-5 18.88 2.97% Feb 2nd Mid Atlantic Warmup 2019
110 Williams Loss 10-12 -6.27 2.97% Feb 2nd Mid Atlantic Warmup 2019
87 Case Western Reserve Loss 7-13 -12.78 2.97% Feb 2nd Mid Atlantic Warmup 2019
158 Lehigh Win 13-12 -0.88 2.97% Feb 3rd Mid Atlantic Warmup 2019
157 Drexel Win 15-9 11.07 2.97% Feb 3rd Mid Atlantic Warmup 2019
91 Mary Washington Win 15-12 12.24 2.97% Feb 3rd Mid Atlantic Warmup 2019
139 Pennsylvania Win 10-8 7.02 3.24% Feb 16th Easterns Qualifier 2019
38 Purdue Loss 7-13 -4.59 3.33% Feb 16th Easterns Qualifier 2019
165 Georgia Southern Win 13-8 10.52 3.33% Feb 16th Easterns Qualifier 2019
39 Vermont Loss 9-11 5.99 3.33% Feb 16th Easterns Qualifier 2019
126 New Hampshire Loss 11-12 -4.56 3.33% Feb 17th Easterns Qualifier 2019
88 Tennessee-Chattanooga Loss 9-14 -11.63 3.33% Feb 17th Easterns Qualifier 2019
101 Connecticut Win 14-9 18.86 3.33% Feb 17th Easterns Qualifier 2019
32 William & Mary Loss 11-15 3.03 3.53% Feb 23rd Virginia Showcase Series 22319
147 Delaware Win 10-7 12.19 3.97% Mar 16th Oak Creek Invite 2019
18 Michigan Loss 6-13 1.14 4.2% Mar 16th Oak Creek Invite 2019
142 Princeton Win 11-10 2.27 4.2% Mar 16th Oak Creek Invite 2019
163 SUNY-Geneseo Loss 7-10 -23.39 3.97% Mar 16th Oak Creek Invite 2019
108 North Carolina-Charlotte Loss 5-15 -24.43 4.2% Mar 17th Oak Creek Invite 2019
157 Drexel Win 13-12 -1.24 4.2% Mar 17th Oak Creek Invite 2019
83 Rutgers Win 11-9 19.74 4.71% Mar 30th Atlantic Coast Open 2019
33 Johns Hopkins Loss 7-13 -5.4 4.71% Mar 30th Atlantic Coast Open 2019
101 Connecticut Loss 6-10 -19.1 4.32% Mar 30th Atlantic Coast Open 2019
115 Villanova Loss 10-12 -11.1 4.71% Mar 30th Atlantic Coast Open 2019
195 George Washington Win 10-8 -0.78 4.58% Mar 31st Atlantic Coast Open 2019
102 Georgetown Win 12-11 9.56 4.71% Mar 31st Atlantic Coast Open 2019
**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.