(1) #13 Cal Poly-SLO (26-12) SW 3

2079.87 (363)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
19 Brigham Young Win 10-7 5.54 363 2.26% Counts Jan 24th Santa Barbara Invite 2025
4 Colorado Loss 8-11 -2.87 422 2.38% Counts Jan 25th Santa Barbara Invite 2025
20 Pennsylvania Win 7-6 -0.85 333 1.97% Counts Jan 25th Santa Barbara Invite 2025
7 Washington Win 11-10 5.73 338 2.38% Counts Jan 25th Santa Barbara Invite 2025
2 Carleton College Loss 8-12 1.04 435 2.38% Counts Jan 26th Santa Barbara Invite 2025
12 Utah Win 7-5 6.6 385 1.9% Counts Jan 26th Santa Barbara Invite 2025
10 California-San Diego Loss 8-9 -2.1 382 2.26% Counts Jan 26th Santa Barbara Invite 2025
114 Arizona State** Win 11-2 0 240 0% Ignored (Why) Feb 1st Presidents Day Qualifiers 2025
83 California-Irvine** Win 13-2 0 448 0% Ignored (Why) Feb 1st Presidents Day Qualifiers 2025
249 California-San Diego-C** Win 13-0 0 404 0% Ignored (Why) Feb 1st Presidents Day Qualifiers 2025
40 California Win 11-1 2.42 285 2.32% Counts (Why) Feb 1st Presidents Day Qualifiers 2025
83 California-Irvine** Win 10-4 0 448 0% Ignored (Why) Feb 2nd Presidents Day Qualifiers 2025
30 UCLA Win 8-5 1.97 415 2.09% Counts (Why) Feb 2nd Presidents Day Qualifiers 2025
61 Brown** Win 13-4 0 316 0% Ignored (Why) Mar 1st Stanford Invite 2025 Womens
35 Wisconsin Win 12-9 -3.32 390 3.18% Counts Mar 1st Stanford Invite 2025 Womens
8 Stanford Loss 7-12 -15.33 341 3.18% Counts Mar 1st Stanford Invite 2025 Womens
23 California-Davis Win 8-7 -2.15 426 2.83% Counts Mar 1st Stanford Invite 2025 Womens
10 California-San Diego Win 11-9 9.31 382 3.18% Counts Mar 2nd Stanford Invite 2025 Womens
3 Tufts Loss 7-9 3.84 353 2.92% Counts Mar 2nd Stanford Invite 2025 Womens
14 California-Santa Barbara Loss 9-12 -11.68 234 3.18% Counts Mar 2nd Stanford Invite 2025 Womens
7 Washington Win 10-8 14.23 338 3.68% Counts Mar 22nd Northwest Challenge 2025
2 Carleton College Loss 8-13 -0.49 435 3.79% Counts Mar 22nd Northwest Challenge 2025
54 Colorado State** Win 11-3 0 380 0% Ignored (Why) Mar 22nd Northwest Challenge 2025
11 Michigan Loss 7-10 -13.34 458 3.58% Counts Mar 23rd Northwest Challenge 2025
8 Stanford Win 10-6 19.8 341 3.47% Counts (Why) Mar 23rd Northwest Challenge 2025
16 Victoria Loss 7-12 -24.17 385 3.79% Counts Mar 23rd Northwest Challenge 2025
41 Southern California Win 14-7 3.61 269 4.5% Counts (Why) Apr 12th SoCal D I Womens Conferences 2025
220 Cal State-Long Beach** Win 15-1 0 373 0% Ignored (Why) Apr 12th SoCal D I Womens Conferences 2025
14 California-Santa Barbara Loss 9-10 -6.36 234 4.5% Counts Apr 12th SoCal D I Womens Conferences 2025
83 California-Irvine** Win 15-1 0 448 0% Ignored (Why) Apr 12th SoCal D I Womens Conferences 2025
10 California-San Diego Win 12-11 7.49 382 4.5% Counts Apr 13th SoCal D I Womens Conferences 2025
14 California-Santa Barbara Win 12-11 5.43 234 4.5% Counts Apr 13th SoCal D I Womens Conferences 2025
123 California-San Diego-B** Win 15-3 0 351 0% Ignored (Why) Apr 26th Southwest D I College Womens Regionals 2025
10 California-San Diego Win 13-12 8.45 382 5.05% Counts Apr 26th Southwest D I College Womens Regionals 2025
40 California Win 13-8 -0.1 285 5.05% Counts Apr 26th Southwest D I College Womens Regionals 2025
15 California-Santa Cruz Win 13-10 15.54 433 5.05% Counts Apr 26th Southwest D I College Womens Regionals 2025
14 California-Santa Barbara Loss 10-15 -24.66 234 5.05% Counts Apr 27th Southwest D I College Womens Regionals 2025
8 Stanford Loss 10-11 -3.77 341 5.05% Counts Apr 27th Southwest D I College Womens Regionals 2025
**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.