#9 California-Santa Cruz (27-9)

avg: 2185.14  •  sd: 42.37  •  top 16/20: 100%

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# Opponent Result Game Rating Status Date Event
41 California-San Diego Win 13-11 2021.15 Jan 25th Santa Barbara Invite 2025
8 Washington Loss 8-13 1720.43 Jan 25th Santa Barbara Invite 2025
58 Illinois Win 13-4 2272.94 Jan 25th Santa Barbara Invite 2025
10 British Columbia Loss 10-11 2026.93 Jan 26th Santa Barbara Invite 2025
34 Utah Win 6-4 2205.76 Jan 26th Santa Barbara Invite 2025
25 Victoria Loss 7-8 1833.85 Jan 26th Santa Barbara Invite 2025
13 California Win 11-10 2228.63 Feb 15th Presidents Day Invite 2025
11 Oregon State Win 10-9 2260.73 Feb 15th Presidents Day Invite 2025
31 California-Santa Barbara Win 13-9 2280.44 Feb 16th Presidents Day Invite 2025
54 UCLA Win 13-7 2261.61 Feb 16th Presidents Day Invite 2025
8 Washington Loss 7-11 1749.7 Feb 16th Presidents Day Invite 2025
2 Oregon Loss 9-13 1966.66 Feb 16th Presidents Day Invite 2025
6 Cal Poly-SLO Loss 11-13 2039.13 Feb 17th Presidents Day Invite 2025
13 California Win 11-7 2570.53 Feb 17th Presidents Day Invite 2025
54 UCLA Win 13-7 2261.61 Mar 8th Stanford Invite 2025 Mens
84 Southern California Win 13-6 2119.35 Mar 8th Stanford Invite 2025 Mens
45 Virginia Tech Win 13-7 2333.14 Mar 8th Stanford Invite 2025 Mens
6 Cal Poly-SLO Win 13-10 2596.11 Mar 9th Stanford Invite 2025 Mens
46 Stanford Win 13-6 2365.36 Mar 9th Stanford Invite 2025 Mens
23 Western Washington Win 13-11 2217.12 Mar 9th Stanford Invite 2025 Mens
10 British Columbia Win 17-14 2431.26 Mar 22nd Northwest Challenge 2025 mens
32 Utah State Win 15-12 2152.65 Mar 22nd Northwest Challenge 2025 mens
10 British Columbia Loss 12-13 2026.93 Mar 23rd Northwest Challenge 2025 mens
31 California-Santa Barbara Win 15-9 2377.36 Mar 23rd Northwest Challenge 2025 mens
25 Victoria Loss 12-13 1833.85 Mar 23rd Northwest Challenge 2025 mens
200 Cal Poly-Humboldt** Win 15-4 1664.82 Ignored Apr 12th NorCal D I Mens Conferences 2025
173 California-Davis** Win 15-3 1782.36 Ignored Apr 12th NorCal D I Mens Conferences 2025
46 Stanford Win 13-7 2322.9 Apr 12th NorCal D I Mens Conferences 2025
13 California Win 15-9 2619.11 Apr 13th NorCal D I Mens Conferences 2025
127 Santa Clara** Win 15-3 1941.61 Ignored Apr 13th NorCal D I Mens Conferences 2025
31 California-Santa Barbara Win 15-8 2426.69 Apr 26th Southwest D I College Mens Regionals 2025
124 San Jose State Win 15-10 1812.54 Apr 26th Southwest D I College Mens Regionals 2025
54 UCLA Win 15-11 2085.25 Apr 26th Southwest D I College Mens Regionals 2025
65 Grand Canyon Win 15-9 2160.53 Apr 26th Southwest D I College Mens Regionals 2025
6 Cal Poly-SLO Loss 11-15 1886.81 Apr 27th Southwest D I College Mens Regionals 2025
13 California Win 14-12 2324.59 Apr 27th Southwest D I College Mens Regionals 2025
**Blowout Eligible

FAQ

What is the uncertainty of the mean?
The uncertainty of the mean is equal to the standard deviation of the set of game ratings, divided by the square root of the number of games. We treated a team’s ranking as a normally distributed random variable, with the USAU ranking as the mean and the uncertainty of the ranking as the standard deviation
What's the algorithm again?
  1. Calculate uncertainy for USAU ranking averge
  2. Model ranking as a normal distribution around USAU averge with standard deviation equal to uncertainty
  3. Simulate seasons by drawing a rank for each team from their distribution. Note the teams in the top 16 (club) or top 20 (college)
  4. Sum the fractions for each region for how often each of it's teams appeared in the top 16 (club) or top 20 (college)
  5. Subtract one from each fraction for "autobids"
  6. Award remainings bids to the regions with the highest remaining fraction, subtracting one from the fraction each time a bid is awarded
Is there a longer explanation of all this?
There is an article on Ulitworld written by Scott Dunham and I that gives a little more context (though it probably was the thing that linked you here)