#123 California-San Diego-B (17-13)

avg: 910.49  •  sd: 68.52  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
181 Arizona Win 8-7 657.91 Feb 1st Presidents Day Qualifiers 2025
220 Cal State-Long Beach** Win 10-2 816.03 Ignored Feb 1st Presidents Day Qualifiers 2025
30 UCLA** Loss 0-13 1114.42 Ignored Feb 1st Presidents Day Qualifiers 2025
196 UCLA-B Win 8-3 1062.49 Feb 1st Presidents Day Qualifiers 2025
181 Arizona Win 9-4 1132.91 Feb 2nd Presidents Day Qualifiers 2025
82 California-Irvine Loss 2-11 590.17 Feb 2nd Presidents Day Qualifiers 2025
1 British Columbia** Loss 0-13 1975.94 Ignored Feb 16th Presidents Day Invite 2025
15 Utah** Loss 0-13 1411.59 Ignored Feb 16th Presidents Day Invite 2025
30 UCLA** Loss 2-13 1114.42 Ignored Feb 16th Presidents Day Invite 2025
82 California-Irvine Loss 4-8 625.36 Mar 2nd Claremont Classic 2025
196 UCLA-B Win 13-4 1062.49 Mar 2nd Claremont Classic 2025
146 Claremont-B Win 9-5 1253.12 Mar 2nd Claremont Classic 2025
133 Claremont Win 7-5 1139.37 Mar 2nd Claremont Classic 2025
105 San Diego State Loss 4-7 539.65 Mar 8th Gnomageddon
222 California-Santa Barbara-B** Win 10-3 806.57 Ignored Mar 8th Gnomageddon
196 UCLA-B Loss 2-3 337.49 Mar 8th Gnomageddon
133 Claremont Win 8-3 1411.23 Mar 8th Gnomageddon
105 San Diego State Loss 5-7 707.67 Mar 9th Gnomageddon
196 UCLA-B Win 5-3 881.05 Mar 9th Gnomageddon
262 Southern California-B** Win 12-2 36.04 Ignored Apr 12th Southwest Dev Womens Conferences 2025
196 UCLA-B Win 11-6 1009.18 Apr 12th Southwest Dev Womens Conferences 2025
249 California-San Diego-C** Win 8-2 574.05 Ignored Apr 12th Southwest Dev Womens Conferences 2025
164 Cal Poly-SLO-B Win 9-7 910.29 Apr 13th Southwest Dev Womens Conferences 2025
164 Cal Poly-SLO-B Win 8-5 1084.56 Apr 13th Southwest Dev Womens Conferences 2025
249 California-San Diego-C** Win 14-3 574.05 Ignored Apr 13th Southwest Dev Womens Conferences 2025
12 Cal Poly-SLO** Loss 3-15 1483.14 Ignored Apr 26th Southwest D I College Womens Regionals 2025
77 Grand Canyon Loss 9-13 797.84 Apr 26th Southwest D I College Womens Regionals 2025
68 Santa Clara Loss 4-14 696.47 Apr 26th Southwest D I College Womens Regionals 2025
164 Cal Poly-SLO-B Win 10-6 1127.11 Apr 27th Southwest D I College Womens Regionals 2025
82 California-Irvine Loss 8-10 927.5 Apr 27th Southwest D I College Womens 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)