(10) #196 Middle Tennessee State (12-6)

1003.14 (8)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
233 Belmont Win 13-8 20.35 53 4.83% Counts Feb 16th Music City Tune Up 2019
160 Vanderbilt Win 9-7 18.6 7 4.44% Counts Feb 16th Music City Tune Up 2019
274 Union (Tennessee) Win 12-10 0.34 57 4.83% Counts Feb 16th Music City Tune Up 2019
- Vanderbilt University -B** Win 13-5 0 55 0% Ignored (Why) Feb 16th Music City Tune Up 2019
105 Iowa Loss 7-12 -12.08 27 6.09% Counts Mar 16th Shamrock Showdown 2019
386 Southern Indiana Win 11-8 -22.7 195 6.09% Counts Mar 16th Shamrock Showdown 2019
226 Miami (Ohio) Loss 10-12 -21.07 41 6.09% Counts Mar 16th Shamrock Showdown 2019
269 Ball State Win 12-6 22.79 13 5.93% Counts (Why) Mar 16th Shamrock Showdown 2019
105 Iowa Loss 6-15 -17.24 27 6.09% Counts (Why) Mar 17th Shamrock Showdown 2019
229 Missouri Win 12-11 2.32 29 6.09% Counts Mar 17th Shamrock Showdown 2019
160 Vanderbilt Loss 10-11 -0.24 7 6.09% Counts Mar 17th Shamrock Showdown 2019
117 Jacksonville State Loss 7-11 -11.9 14 6.28% Counts Mar 23rd Magic City Invite 2019
322 Mississippi Win 11-6 8.5 8 6.1% Counts (Why) Mar 23rd Magic City Invite 2019
208 Berry Win 11-6 32.66 9 6.1% Counts (Why) Mar 23rd Magic City Invite 2019
308 Alabama-B Win 11-6 11.92 3 6.1% Counts (Why) Mar 23rd Magic City Invite 2019
185 Alabama-Birmingham Loss 5-11 -35.95 14 5.92% Counts (Why) Mar 23rd Magic City Invite 2019
308 Alabama-B Win 13-10 -2.43 3 6.45% Counts Mar 24th Magic City Invite 2019
208 Berry Win 14-13 5.56 9 6.45% Counts Mar 24th Magic City Invite 2019
**Blowout Eligible. Learn more about how this works here.

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.