(10) #134 Tennessee (3-7)

1276.04 (445)

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# Opponent Result Effect % of Ranking Status Date Event
54 Florida State Loss 2-15 -1.97 8.98% Jan 13th Florida Winter Classic 2018
89 Iowa Loss 4-10 -26.02 7.85% Jan 13th Florida Winter Classic 2018
207 Miami Win 12-4 11.91 8.62% Jan 13th Florida Winter Classic 2018
62 Central Florida Loss 3-8 -5.8 6.99% Jan 14th Florida Winter Classic 2018
57 Kansas Loss 7-15 -3.9 8.98% Jan 14th Florida Winter Classic 2018
141 North Georgia Win 8-6 22.32 7.71% Jan 14th Florida Winter Classic 2018
49 Duke Loss 7-15 15.4 16.96% Mar 31st Easterns 2018
15 North Carolina State** Loss 4-15 0 0% Ignored Mar 31st Easterns 2018
93 Cornell Loss 5-13 -68.49 16.96% Mar 31st Easterns 2018
148 Virginia Tech Win 11-8 57 16.96% 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.