(11) #160 Vanderbilt (14-11)

1124.38 (7)

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# Opponent Result Effect % of Ranking Status Date Event
322 Mississippi Win 10-5 1.1 2.9% Jan 26th T Town Throwdown
159 Mississippi State Win 11-7 15.34 3.17% Jan 26th T Town Throwdown
72 Alabama-Huntsville Win 11-9 20.51 3.26% Jan 26th T Town Throwdown
103 Georgia State Loss 5-13 -12.67 3.26% Jan 26th T Town Throwdown
36 Alabama Loss 8-14 2.11 3.26% Jan 27th T Town Throwdown
27 LSU** Loss 4-15 0 0% Ignored Jan 27th T Town Throwdown
106 Illinois State Loss 6-15 -13.38 3.26% Jan 27th T Town Throwdown
196 Middle Tennessee State Loss 7-9 -14.77 3.56% Feb 16th Music City Tune Up 2019
233 Belmont Win 13-7 13.74 3.88% Feb 16th Music City Tune Up 2019
- Vanderbilt University -B** Win 13-2 0 0% Ignored Feb 16th Music City Tune Up 2019
274 Union (Tennessee) Win 13-3 9.97 3.88% Feb 16th Music City Tune Up 2019
229 Missouri Win 10-5 16.48 4.34% Mar 16th Shamrock Showdown 2019
336 Arkansas State Win 13-6 0.85 4.88% Mar 16th Shamrock Showdown 2019
329 Northern Illinois Win 13-3 1.93 4.88% Mar 16th Shamrock Showdown 2019
283 Tennessee Tech Win 12-6 9.66 4.75% Mar 16th Shamrock Showdown 2019
226 Miami (Ohio) Loss 8-10 -23.48 4.75% Mar 17th Shamrock Showdown 2019
196 Middle Tennessee State Win 11-10 0.19 4.88% Mar 17th Shamrock Showdown 2019
269 Ball State Win 13-12 -10.98 4.88% Mar 17th Shamrock Showdown 2019
38 Purdue Loss 7-13 1.37 5.17% Mar 23rd CWRUL Memorial 2019
64 Ohio Loss 9-13 -0.19 5.17% Mar 23rd CWRUL Memorial 2019
135 University of Pittsburgh-B Loss 7-12 -21.92 5.17% Mar 23rd CWRUL Memorial 2019
171 RIT Win 14-9 23.52 5.17% Mar 24th CWRUL Memorial 2019
158 Lehigh Loss 10-14 -21.49 5.17% Mar 24th CWRUL Memorial 2019
247 Xavier Win 14-6 19.11 5.17% Mar 24th CWRUL Memorial 2019
154 Syracuse Loss 9-12 -17.41 5.17% Mar 24th CWRUL Memorial 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.