(1) #46 North Carolina-Wilmington (18-10)

1978.21 (454)

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# Opponent Result Effect % of Ranking Status Date Event
13 Ohio State Loss 8-10 5.07 3% Jan 13th Florida Winter Classic 2018
57 Kansas Win 12-10 3.07 3.08% Jan 13th Florida Winter Classic 2018
32 Florida Win 11-10 7.22 3.08% Jan 13th Florida Winter Classic 2018
57 Kansas Loss 13-14 -8.48 3.08% Jan 14th Florida Winter Classic 2018
48 Georgia Win 9-6 11.15 2.74% Jan 14th Florida Winter Classic 2018
80 James Madison Win 12-6 8.65 3.37% Jan 27th Winta Binta Vinta Fest 2018
245 George Mason University** Win 13-1 0 0% Ignored Jan 27th Winta Binta Vinta Fest 2018
88 Georgetown Win 8-3 5.54 2.69% Jan 27th Winta Binta Vinta Fest 2018
215 Virginia-B** Win 13-1 0 0% Ignored Jan 27th Winta Binta Vinta Fest 2018
66 Virginia Win 14-6 14.1 3.46% Jan 28th Winta Binta Vinta Fest 2018
49 Duke Win 12-4 19.69 3.32% Jan 28th Winta Binta Vinta Fest 2018
7 Tufts Loss 3-14 -3.16 4.36% Feb 24th Commonwealth Cup 2018
48 Georgia Loss 10-13 -15.99 4.36% Feb 24th Commonwealth Cup 2018
66 Virginia Win 14-10 8.76 4.36% Feb 24th Commonwealth Cup 2018
45 Case Western Reserve Win 11-9 11.38 4.36% Feb 25th Commonwealth Cup 2018
49 Duke Loss 7-13 -26.63 4.36% Feb 25th Commonwealth Cup 2018
15 North Carolina State Loss 9-11 5.73 4.36% Feb 25th Commonwealth Cup 2018
107 LSU Win 11-5 4.14 4.49% Mar 10th Tally Classic XIII
245 George Mason University** Win 15-3 0 0% Ignored Mar 10th Tally Classic XIII
41 Georgia Tech Loss 7-10 -17.4 4.63% Mar 10th Tally Classic XIII
19 Vermont Loss 5-15 -16.19 4.89% Mar 10th Tally Classic XIII
180 South Florida Win 11-7 -25.54 4.76% Mar 10th Tally Classic XIII
47 Harvard Win 12-11 6.42 4.89% Mar 11th Tally Classic XIII
32 Florida Loss 12-13 -1.18 4.89% Mar 11th Tally Classic XIII
48 Georgia Win 13-12 6.32 5.82% Mar 31st Easterns 2018
148 Virginia Tech** Win 15-2 0 0% Ignored Mar 31st Easterns 2018
39 Clemson Win 13-12 10.25 5.82% Mar 31st Easterns 2018
15 North Carolina State Loss 7-15 -13.91 5.82% Mar 31st Easterns 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.