(6) #39 Northwestern (13-13)

1628.7 (57)

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# Opponent Result Effect % of Ranking Status Date Event
7 Pittsburgh Loss 2-11 -7.68 3.08% Feb 3rd Queen City Tune Up 2018 College Open
150 North Carolina-Asheville Win 11-9 -8.64 3.36% Feb 3rd Queen City Tune Up 2018 College Open
33 Maryland Loss 7-11 -13.91 3.27% Feb 3rd Queen City Tune Up 2018 College Open
10 Virginia Tech Loss 6-11 -8.28 3.18% Feb 3rd Queen City Tune Up 2018 College Open
8 Massachusetts Loss 4-11 -8.43 3.08% Feb 3rd Queen City Tune Up 2018 College Open
61 James Madison Loss 4-8 -19.78 2.67% Feb 4th Queen City Tune Up 2018 College Open
13 Wisconsin Loss 7-13 -10.55 3.77% Feb 16th Warm Up A Florida Affair 2018
21 Texas A&M Win 11-9 17.35 3.77% Feb 16th Warm Up A Florida Affair 2018
14 Florida Win 13-10 22.98 3.77% Feb 16th Warm Up A Florida Affair 2018
37 Central Florida Loss 10-13 -12.63 3.77% Feb 16th Warm Up A Florida Affair 2018
30 Auburn Win 15-10 20.94 3.77% Feb 17th Warm Up A Florida Affair 2018
111 Arizona State Win 11-9 -3.54 3.77% Feb 17th Warm Up A Florida Affair 2018
18 Brigham Young Loss 8-13 -10.64 3.77% Feb 17th Warm Up A Florida Affair 2018
52 Harvard Win 16-15 1.27 3.77% Feb 18th Warm Up A Florida Affair 2018
29 Texas Win 11-10 8.13 3.77% Feb 18th Warm Up A Florida Affair 2018
40 Iowa Loss 10-11 -6.05 4.49% Mar 10th Mens Centex 2018
31 LSU Loss 8-11 -13.84 4.49% Mar 10th Mens Centex 2018
217 Texas Christian** Win 11-4 0 0% Ignored Mar 10th Mens Centex 2018
112 Texas Tech Win 13-6 12.04 4.49% Mar 10th Mens Centex 2018
27 Texas State Loss 9-13 -15.32 4.49% Mar 10th Mens Centex 2018
70 Arkansas Win 12-9 7.34 4.49% Mar 11th Mens Centex 2018
58 Kansas Loss 10-11 -11.87 4.49% Mar 11th Mens Centex 2018
41 Northeastern Loss 12-13 -7.06 4.49% Mar 11th Mens Centex 2018
44 Illinois Win 15-10 23.33 5.33% Mar 31st Huck Finn 2018
51 Ohio State Win 14-11 12.53 5.33% Mar 31st Huck Finn 2018
29 Texas Win 15-9 33.69 5.33% Mar 31st Huck Finn 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.