(38) #89 John Brown (8-4)

1382.31 (167)

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# Opponent Result Effect % of Ranking Status Date Event
200 Rice Win 8-6 -10.82 6.76% Feb 24th Dust Bowl 2018
112 Texas Tech Win 8-7 2.09 7% Feb 24th Dust Bowl 2018
123 Nebraska Loss 5-9 -47.95 6.76% Feb 24th Dust Bowl 2018
162 Saint Louis Win 10-6 15.09 7.23% Feb 24th Dust Bowl 2018
96 Missouri State Win 15-14 7.97 7.88% Feb 25th Dust Bowl 2018
70 Arkansas Loss 8-15 -43.42 7.88% Feb 25th Dust Bowl 2018
139 Luther Win 14-13 -7.64 7.88% Feb 25th Dust Bowl 2018
130 North Texas Loss 6-7 -21.98 6.52% Feb 25th Dust Bowl 2018
47 Iowa State Win 12-11 36.55 10.52% Mar 31st Huck Finn 2018
95 Purdue Win 13-9 45.75 10.52% Mar 31st Huck Finn 2018
76 Chicago Loss 13-14 -10.81 10.52% Mar 31st Huck Finn 2018
75 Tennessee-Chattanooga Win 15-12 39.25 10.52% Mar 31st Huck Finn 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.