#41 California-San Diego (15-22)

avg: 1772.27  •  sd: 41.47  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
25 Utah Valley Loss 11-13 1715.16 Jan 25th Santa Barbara Invite 2025
32 California-Santa Barbara Win 12-11 1961.17 Jan 25th Santa Barbara Invite 2025
8 California-Santa Cruz Loss 11-13 1921.41 Jan 25th Santa Barbara Invite 2025
54 UCLA Loss 5-8 1229.89 Jan 26th Santa Barbara Invite 2025
13 Northeastern Loss 11-13 1832.13 Feb 15th Presidents Day Invite 2025
32 California-Santa Barbara Loss 5-7 1508.03 Feb 15th Presidents Day Invite 2025
6 Cal Poly-SLO Loss 10-13 1908.77 Feb 16th Presidents Day Invite 2025
9 Oregon State Loss 10-11 1991.46 Feb 16th Presidents Day Invite 2025
46 Stanford Loss 10-11 1616.55 Feb 16th Presidents Day Invite 2025
175 California-Davis** Win 13-3 1762.65 Ignored Feb 17th Presidents Day Invite 2025
24 Victoria Loss 10-11 1825.02 Feb 17th Presidents Day Invite 2025
108 British Columbia -B Win 13-9 1837.57 Mar 8th Stanford Invite 2025 Mens
6 Cal Poly-SLO Loss 9-13 1818.34 Mar 8th Stanford Invite 2025 Mens
43 Whitman Loss 9-13 1346.31 Mar 8th Stanford Invite 2025 Mens
85 Southern California Win 12-9 1844.7 Mar 8th Stanford Invite 2025 Mens
12 California Loss 8-12 1636.6 Mar 9th Stanford Invite 2025 Mens
23 Western Washington Loss 9-13 1551.85 Mar 9th Stanford Invite 2025 Mens
46 Stanford Win 11-10 1866.55 Mar 9th Stanford Invite 2025 Mens
27 Utah Win 15-13 2117.64 Mar 22nd Northwest Challenge 2025 mens
10 Washington Loss 7-15 1507.1 Mar 22nd Northwest Challenge 2025 mens
29 Virginia Win 13-11 2090.83 Mar 22nd Northwest Challenge 2025 mens
23 Western Washington Loss 11-15 1589.26 Mar 22nd Northwest Challenge 2025 mens
44 Wisconsin Win 15-11 2135.36 Mar 23rd Northwest Challenge 2025 mens
27 Utah Loss 9-15 1387.98 Mar 23rd Northwest Challenge 2025 mens
6 Cal Poly-SLO Loss 11-13 2008.07 Apr 12th SoCal D I Mens Conferences 2025
333 Cal State-Long Beach** Win 13-0 1165.67 Ignored Apr 12th SoCal D I Mens Conferences 2025
138 California-Irvine Win 13-4 1900.29 Apr 12th SoCal D I Mens Conferences 2025
109 San Diego State Win 13-5 2010.79 Apr 12th SoCal D I Mens Conferences 2025
32 California-Santa Barbara Loss 11-15 1455.01 Apr 13th SoCal D I Mens Conferences 2025
54 UCLA Win 15-11 2064.66 Apr 13th SoCal D I Mens Conferences 2025
32 California-Santa Barbara Loss 7-12 1315.66 Apr 13th SoCal D I Mens Conferences 2025
120 Cal Poly-SLO-B Win 15-5 1948.07 Apr 26th Southwest D I College Mens Regionals 2025
12 California Loss 11-15 1696.59 Apr 26th Southwest D I College Mens Regionals 2025
32 California-Santa Barbara Loss 12-13 1711.17 Apr 26th Southwest D I College Mens Regionals 2025
131 Santa Clara Win 15-6 1922.07 Apr 26th Southwest D I College Mens Regionals 2025
65 Grand Canyon Win 15-14 1749.33 Apr 27th Southwest D I College Mens Regionals 2025
32 California-Santa Barbara Loss 13-14 1711.17 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)