(2) #32 Brigham Young (4-5)

1506.27 (40)

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# Opponent Result Effect % of Ranking Status Date Event
3 California-Santa Barbara** Loss 5-13 0 0% Ignored Jan 25th Santa Barbara Invite 2019
89 Southern California** Win 13-4 0 0% Ignored Jan 26th Santa Barbara Invite 2019
13 Washington Loss 5-13 -34.6 14.1% Jan 26th Santa Barbara Invite 2019
36 California-Santa Cruz Win 12-9 49.18 14.1% Jan 26th Santa Barbara Invite 2019
25 California Loss 4-13 -62.21 14.1% Jan 26th Santa Barbara Invite 2019
20 North Carolina-Wilmington Loss 5-8 -27.68 13.23% Feb 9th Queen City Tune Up 2019 Women
37 Georgia Tech Win 10-8 35.59 15.57% Feb 9th Queen City Tune Up 2019 Women
69 Case Western Reserve Win 9-6 -14.27 14.21% Feb 9th Queen City Tune Up 2019 Women
2 North Carolina Loss 5-11 55.24 14.68% Feb 9th Queen City Tune Up 2019 Women
**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.