(6) #39 Cal Poly-SLO (9-13)

1556.98 (32)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
36 Brigham Young Loss 6-9 -15.19 19 3.59% Counts Jan 24th Santa Barbara Invite 2020
35 Utah Loss 12-13 -4.52 7 4.04% Counts Jan 25th Santa Barbara Invite 2020
27 California-Davis Loss 6-13 -17.31 22 4.04% Counts (Why) Jan 25th Santa Barbara Invite 2020
20 Wisconsin Loss 7-13 -7.57 16 4.04% Counts Jan 25th Santa Barbara Invite 2020
52 Victoria Win 12-11 -1.01 40 4.04% Counts Jan 26th Santa Barbara Invite 2020
58 California-Santa Cruz Win 10-5 14.27 91 3.59% Counts (Why) Jan 26th Santa Barbara Invite 2020
61 Massachusetts Loss 7-8 -15.46 27 4.21% Counts Feb 15th Presidents Day Invite 2020
90 Southern California Win 10-7 -2 25 4.48% Counts Feb 15th Presidents Day Invite 2020
10 California-Santa Barbara Loss 5-12 -5.48 62 4.55% Counts (Why) Feb 15th Presidents Day Invite 2020
60 Oregon Win 8-7 -3.74 58 4.21% Counts Feb 15th Presidents Day Invite 2020
61 Massachusetts Win 10-5 15.24 27 4.21% Counts (Why) Feb 16th Presidents Day Invite 2020
44 Whitman Win 11-7 21.1 12 4.61% Counts Feb 16th Presidents Day Invite 2020
40 Colorado College Win 11-10 6.05 5 4.74% Counts Feb 16th Presidents Day Invite 2020
14 UCLA Loss 7-9 6.91 73 4.35% Counts Feb 17th Presidents Day Invite 2020
10 California-Santa Barbara Loss 6-12 -4.56 62 4.61% Counts Feb 17th Presidents Day Invite 2020
45 Chicago Win 14-4 27.87 26 4.74% Counts (Why) Feb 17th Presidents Day Invite 2020
5 Washington Loss 6-11 2.32 52 5.26% Counts Mar 7th Stanford Invite 2020
10 California-Santa Barbara Loss 6-10 -0.6 62 5.1% Counts Mar 7th Stanford Invite 2020
19 Colorado Loss 6-12 -11.45 22 5.41% Counts Mar 7th Stanford Invite 2020
29 California Loss 8-11 -14.25 18 5.56% Counts Mar 8th Stanford Invite 2020
23 Minnesota Loss 8-12 -12.62 5.56% Counts Mar 8th Stanford Invite 2020
58 California-Santa Cruz Win 11-5 22.02 91 5.1% Counts (Why) Mar 8th Stanford Invite 2020
**Blowout Eligible. Learn more about how this works here.

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.