(3) #111 Rutgers (3-4)

1061.54 (111)

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# Opponent Result Effect % of Ranking Status Date Event
207 Cornell-B** Win 15-1 0 0% Ignored Mar 9th Delaware The Main Event 2019
66 Massachusetts Loss 8-15 -61.5 20% Mar 9th Delaware The Main Event 2019
75 Maryland Loss 5-15 -88.35 20% Mar 9th Delaware The Main Event 2019
68 Yale Win 10-9 104.68 20% Mar 10th Delaware The Main Event 2019
58 Columbia Loss 5-13 -47.73 20% Mar 10th Delaware The Main Event 2019
29 Delaware** Loss 6-15 0 0% Ignored Mar 10th Delaware The Main Event 2019
75 Maryland Win 10-9 92.9 20% Mar 10th Delaware The Main Event 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.