(6) #50 Whitman (1-10)

1508.9 (33)

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# Opponent Result Effect % of Ranking Status Date Event
16 Oregon Win 7-6 52.68 7.67% Mar 2nd Stanford Invite 2019
5 Carleton College-Syzygy Loss 5-7 34.1 7.37% Mar 2nd Stanford Invite 2019
19 UCLA Loss 5-13 -14.63 9.28% Mar 2nd Stanford Invite 2019
39 California-Davis Loss 9-11 -16.85 9.28% Mar 3rd Stanford Invite 2019
38 Florida Loss 5-9 -36.93 7.96% Mar 3rd Stanford Invite 2019
32 Brigham Young Loss 7-13 -47.11 11.69% Mar 30th NW Challenge Tier 1 Womens
7 Western Washington Loss 11-15 40.97 11.69% Mar 30th NW Challenge Tier 1 Womens
13 Stanford Loss 10-15 12.33 11.69% Mar 30th NW Challenge Tier 1 Womens
24 Washington Loss 8-14 -22.81 11.69% Mar 30th NW Challenge Tier 1 Womens
8 Dartmouth** Loss 6-15 0 0% Ignored Mar 31st NW Challenge Tier 1 Womens
11 Pittsburgh Loss 6-15 -3.39 11.69% Mar 31st NW Challenge Tier 1 Womens
**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.