(37) #331 Kenyon (3-9)

559.98 (38)

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# Opponent Result Effect % of Ranking Status Date Event
154 Syracuse Loss 4-13 -0.83 8.09% Mar 23rd CWRUL Memorial 2019
347 Wright State Win 13-4 46.77 8.09% Mar 23rd CWRUL Memorial 2019
183 Oberlin Loss 6-13 -10.39 8.09% Mar 23rd CWRUL Memorial 2019
231 Knox Loss 11-13 10.72 8.09% Mar 23rd CWRUL Memorial 2019
391 John Carroll Loss 13-14 -36.33 8.09% Mar 24th CWRUL Memorial 2019
355 Northwestern-B Win 12-10 12.07 8.09% Mar 24th CWRUL Memorial 2019
405 Jefferson Win 13-5 21.5 8.57% Mar 30th Layout Pigout 2019
96 Bowdoin Loss 6-13 19.49 8.57% Mar 30th Layout Pigout 2019
243 Haverford Loss 7-13 -22.05 8.57% Mar 30th Layout Pigout 2019
163 SUNY-Geneseo Loss 3-13 -5.01 8.57% Mar 30th Layout Pigout 2019
315 Muhlenberg Loss 11-13 -17.05 8.57% Mar 31st Layout Pigout 2019
228 Swarthmore Loss 7-13 -19 8.57% Mar 31st Layout Pigout 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.