(4) #75 Purdue (6-4)

1288.08 (12)

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# Opponent Result Effect % of Ranking Status Date Event
137 Illinois Win 9-3 21.34 7.91% Mar 2nd Midwest Throwdown 2019
141 Iowa Win 13-1 23.06 9.56% Mar 2nd Midwest Throwdown 2019
89 Iowa State Win 13-3 56.54 9.56% Mar 2nd Midwest Throwdown 2019
37 Washington University Loss 4-10 -19.82 8.35% Mar 2nd Midwest Throwdown 2019
111 Michigan State Win 8-6 7.64 9.76% Mar 23rd CWRUL Memorial 2019
85 Dayton Win 9-4 57.62 9.4% Mar 23rd CWRUL Memorial 2019
94 Carnegie Mellon Loss 8-13 -76.89 11.37% Mar 23rd CWRUL Memorial 2019
81 Ohio Loss 9-10 -18.57 11.37% Mar 24th CWRUL Memorial 2019
167 Knox Win 13-4 10.5 11.37% Mar 24th CWRUL Memorial 2019
91 Case Western Reserve Loss 9-13 -64.63 11.37% Mar 24th CWRUL Memorial 2019
**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.