(6) #200 Rice (7-15)

932.65 (0)

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# Opponent Result Effect % of Ranking Status Date Event
68 Baylor Win 10-9 30.96 4.57% Feb 3rd Big D in Little d Open 2018
130 North Texas Loss 8-9 6.07 4.32% Feb 3rd Big D in Little d Open 2018
351 Texas-Arlington Win 13-7 -0.56 4.57% Feb 3rd Big D in Little d Open 2018
379 Southern Methodist** Win 13-4 0 0% Ignored Feb 3rd Big D in Little d Open 2018
199 Stephen F Austin Win 14-13 6.07 4.57% Feb 3rd Big D in Little d Open 2018
26 Texas-Dallas** Loss 5-15 0 0% Ignored Feb 3rd Big D in Little d Open 2018
160 Oklahoma Loss 10-11 1.67 4.57% Feb 4th Big D in Little d Open 2018
89 John Brown Loss 6-8 7.29 4.66% Feb 24th Dust Bowl 2018
123 Nebraska Loss 5-10 -12.98 4.82% Feb 24th Dust Bowl 2018
162 Saint Louis Loss 8-9 1.2 5.14% Feb 24th Dust Bowl 2018
112 Texas Tech Loss 6-8 2.54 4.66% Feb 24th Dust Bowl 2018
130 North Texas Loss 8-13 -13.59 5.43% Feb 25th Dust Bowl 2018
156 Colorado-Denver Win 13-11 23.14 5.43% Feb 25th Dust Bowl 2018
187 Texas A&M-B Loss 13-15 -9.49 5.43% Feb 25th Dust Bowl 2018
162 Saint Louis Loss 7-11 -17.84 5.28% Feb 25th Dust Bowl 2018
160 Oklahoma Loss 8-13 -21.82 6.09% Mar 10th Mens Centex 2018
41 Northeastern** Loss 2-13 0 0% Ignored Mar 10th Mens Centex 2018
184 Texas-San Antonio Loss 11-12 -4.77 6.09% Mar 10th Mens Centex 2018
199 Stephen F Austin Loss 6-13 -38.82 6.09% Mar 10th Mens Centex 2018
258 Texas A&M-C Win 15-10 17.92 6.09% Mar 11th Mens Centex 2018
187 Texas A&M-B Win 13-10 24.46 6.09% Mar 11th Mens Centex 2018
176 Colorado State-B Loss 12-13 -2.01 6.09% Mar 11th Mens 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.