(4) #61 James Madison (15-11)

1472.52 (7)

Click on column to sort  • 
# Opponent Result Effect % of Ranking Status Date Event
116 Appalachian State Loss 7-10 -18 2.97% Feb 3rd Queen City Tune Up 2018 College Open
41 Northeastern Loss 8-9 0.18 2.97% Feb 3rd Queen City Tune Up 2018 College Open
36 Michigan Loss 5-11 -12.89 2.88% Feb 3rd Queen City Tune Up 2018 College Open
50 Notre Dame Win 9-8 5.87 2.97% Feb 3rd Queen City Tune Up 2018 College Open
42 Connecticut Loss 8-9 -0.06 2.97% Feb 3rd Queen City Tune Up 2018 College Open
39 Northwestern Win 8-4 18.46 2.5% Feb 4th Queen City Tune Up 2018 College Open
48 Dartmouth Loss 8-13 -14.74 3.53% Feb 17th Easterns Qualifier 2018
149 Davidson Win 9-6 2.81 3.13% Feb 17th Easterns Qualifier 2018
151 George Mason Win 13-7 7.38 3.53% Feb 17th Easterns Qualifier 2018
66 Kennesaw State Loss 12-13 -5.1 3.53% Feb 17th Easterns Qualifier 2018
98 Clemson Win 13-8 13.22 3.53% Feb 17th Easterns Qualifier 2018
40 Iowa Loss 8-15 -15.08 3.53% Feb 18th Easterns Qualifier 2018
102 Richmond Win 15-11 8.61 3.53% Feb 18th Easterns Qualifier 2018
75 Tennessee-Chattanooga Win 15-14 2.49 3.53% Feb 18th Easterns Qualifier 2018
149 Davidson Win 13-7 10.5 4.44% Mar 17th Oak Creek Invite 2018
109 Williams Win 13-10 7.06 4.44% Mar 17th Oak Creek Invite 2018
60 Cornell Win 13-12 5.85 4.44% Mar 17th Oak Creek Invite 2018
91 Penn State Win 14-11 9.99 4.44% Mar 18th Oak Creek Invite 2018
42 Connecticut Win 14-13 11.53 4.44% Mar 18th Oak Creek Invite 2018
34 William & Mary Loss 14-15 2.36 4.44% Mar 18th Oak Creek Invite 2018
48 Dartmouth Loss 9-13 -16.09 4.71% Mar 24th Atlantic Coast Open 2018
28 Carnegie Mellon Loss 6-13 -17.48 4.71% Mar 24th Atlantic Coast Open 2018
84 Virginia Win 13-12 2.7 4.71% Mar 24th Atlantic Coast Open 2018
34 William & Mary Loss 6-15 -20.96 4.71% Mar 25th Atlantic Coast Open 2018
113 Lehigh Win 11-8 8.75 4.71% Mar 25th Atlantic Coast Open 2018
86 Duke Win 12-11 2.54 4.71% 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.