() #15 California (31-10) SW 2

2157.46 (233)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
121 Cal Poly-SLO-B** Win 15-4 0 367 0% Ignored (Why) Jan 27th Santa Barbara Invite 2024
60 California-Santa Barbara Win 15-6 2.91 246 1.81% Counts (Why) Jan 27th Santa Barbara Invite 2024
29 Utah Win 12-10 0.51 270 1.81% Counts Jan 27th Santa Barbara Invite 2024
53 Colorado State Win 15-6 3.65 285 1.81% Counts (Why) Jan 27th Santa Barbara Invite 2024
22 Washington Win 13-10 3.75 214 1.81% Counts Jan 28th Santa Barbara Invite 2024
7 Oregon Loss 9-14 -5.54 221 1.81% Counts Jan 28th Santa Barbara Invite 2024
24 UCLA Win 13-11 1.69 212 1.81% Counts Jan 28th Santa Barbara Invite 2024
21 British Columbia Win 13-12 0.38 249 2.15% Counts Feb 17th Presidents Day Invite 2024
19 Oregon State Win 14-11 5.58 229 2.15% Counts Feb 17th Presidents Day Invite 2024
33 California-Santa Cruz Win 13-10 1.71 270 2.15% Counts Feb 17th Presidents Day Invite 2024
22 Washington Win 13-12 0.02 214 2.15% Counts Feb 18th Presidents Day Invite 2024
1 Colorado Loss 8-12 -2.17 257 2.15% Counts Feb 18th Presidents Day Invite 2024
40 Victoria Win 10-6 3.94 272 1.97% Counts (Why) Feb 18th Presidents Day Invite 2024
19 Oregon State Loss 12-13 -4.04 229 2.15% Counts Feb 18th Presidents Day Invite 2024
29 Utah Win 10-7 3.72 270 2.03% Counts Feb 19th Presidents Day Invite 2024
22 Washington Loss 9-11 -8.19 214 2.15% Counts Feb 19th Presidents Day Invite 2024
8 Brown Loss 7-13 -10.83 251 2.41% Counts Mar 2nd Smoky Mountain Invite 2024
10 Texas Win 13-12 5.28 310 2.41% Counts Mar 2nd Smoky Mountain Invite 2024
90 Tennessee Win 13-6 -0.34 277 2.41% Counts (Why) Mar 2nd Smoky Mountain Invite 2024
12 Carleton College Loss 12-15 -5.76 214 2.41% Counts Mar 2nd Smoky Mountain Invite 2024
23 Tufts Loss 11-15 -12.71 195 2.41% Counts Mar 3rd Smoky Mountain Invite 2024
90 Tennessee Win 15-8 -1.21 277 2.41% Counts (Why) Mar 3rd Smoky Mountain Invite 2024
24 UCLA Win 15-14 -0.29 212 2.41% Counts Mar 3rd Smoky Mountain Invite 2024
17 Brigham Young Win 12-8 11.93 245 2.87% Counts Mar 23rd Northwest Challenge Mens 2024
7 Oregon Loss 11-15 -6.16 221 2.87% Counts Mar 23rd Northwest Challenge Mens 2024
66 Western Washington Win 15-9 0.93 251 2.87% Counts Mar 23rd Northwest Challenge Mens 2024
29 Utah Win 15-12 2.66 270 2.87% Counts Mar 23rd Northwest Challenge Mens 2024
21 British Columbia Win 14-10 8.59 249 2.87% Counts Mar 24th Northwest Challenge Mens 2024
1 Colorado Loss 13-15 3.78 257 2.87% Counts Mar 24th Northwest Challenge Mens 2024
19 Oregon State Win 15-13 4.58 229 2.87% Counts Mar 24th Northwest Challenge Mens 2024
230 California-Davis** Win 15-5 0 167 0% Ignored (Why) Apr 13th NorCal D I Mens Conferences 2024
328 Nevada-Reno** Win 15-0 0 95 0% Ignored (Why) Apr 13th NorCal D I Mens Conferences 2024
67 Stanford Win 15-6 4.03 267 3.41% Counts (Why) Apr 13th NorCal D I Mens Conferences 2024
124 San Jose State Win 12-7 -8.63 266 3.41% Counts (Why) Apr 14th NorCal D I Mens Conferences 2024
33 California-Santa Cruz Win 13-9 5.94 270 3.41% Counts Apr 14th NorCal D I Mens Conferences 2024
144 Santa Clara Win 15-7 -8.8 343 3.83% Counts (Why) Apr 27th Southwest D I College Mens Regionals 2024
67 Stanford Win 13-3 4.54 267 3.83% Counts (Why) Apr 27th Southwest D I College Mens Regionals 2024
33 California-Santa Cruz Loss 12-14 -18.75 270 3.83% Counts Apr 27th Southwest D I College Mens Regionals 2024
34 California-San Diego Win 13-10 2.95 341 3.83% Counts Apr 28th Southwest D I College Mens Regionals 2024
24 UCLA Win 12-7 15.27 212 3.83% Counts (Why) Apr 28th Southwest D I College Mens Regionals 2024
33 California-Santa Cruz Win 11-10 -4.98 270 3.83% Counts Apr 28th Southwest D I College Mens Regionals 2024
**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.