(10) #207 Miami (3-8)

802.34 (495)

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# Opponent Result Effect % of Ranking Status Date Event
134 Tennessee Loss 4-12 -11.98 8.66% Jan 13th Florida Winter Classic 2018
54 Florida State** Loss 0-15 0 0% Ignored Jan 13th Florida Winter Classic 2018
89 Iowa** Loss 2-14 0 0% Ignored Jan 13th Florida Winter Classic 2018
174 Florida-B Loss 4-9 -29.44 7.47% Jan 14th Florida Winter Classic 2018
180 South Florida Loss 3-8 -30.35 7.02% Jan 14th Florida Winter Classic 2018
205 Trinity Win 8-6 50.8 13.81% Mar 24th Womens Centex 2018
95 Texas State** Loss 4-13 0 0% Ignored Mar 24th Womens Centex 2018
144 Texas-Dallas Loss 3-13 -33.6 16.08% Mar 24th Womens Centex 2018
165 Baylor Loss 6-12 -55.69 15.66% Mar 24th Womens Centex 2018
247 North Texas Win 10-7 10.72 15.21% Mar 25th Womens Centex 2018
208 Rice Win 13-7 105.71 16.08% Mar 25th Womens Centex 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.