(3) #122 Skidmore (4-7)

1361.09 (484)

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# Opponent Result Effect % of Ranking Status Date Event
30 Williams Loss 8-9 72.87 10.59% Feb 24th Bring the Huckus 9
85 SUNY-Binghamton Loss 5-8 -20.86 9.26% Feb 24th Bring the Huckus 9
152 SUNY-Geneseo Loss 5-6 -29.56 8.52% Feb 24th Bring the Huckus 9
53 Wesleyan Loss 5-7 21.09 8.9% Feb 24th Bring the Huckus 9
140 SUNY-Oneonta Win 8-6 25.97 12.11% Mar 24th Spring Awakening 2018
93 Cornell Loss 8-9 8.4 13.35% Mar 24th Spring Awakening 2018
175 Ithaca Win 10-7 6.23 13.35% Mar 24th Spring Awakening 2018
272 Boston University-B** Win 10-2 0 0% Ignored Mar 25th Spring Awakening 2018
272 Boston University-B** Win 8-3 0 0% Ignored Mar 25th Spring Awakening 2018
64 Columbia Loss 3-8 -21.84 10.98% Mar 25th Spring Awakening 2018
93 Cornell Loss 1-11 -62.54 12.95% Mar 25th Spring Awakening 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.