#83 California-Irvine (23-12)

avg: 1194.75  •  sd: 47.59  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
114 Arizona State Win 11-3 1555.88 Feb 1st Presidents Day Qualifiers 2025
13 Cal Poly-SLO** Loss 2-13 1479.87 Ignored Feb 1st Presidents Day Qualifiers 2025
40 California Loss 6-7 1456.88 Feb 1st Presidents Day Qualifiers 2025
249 California-San Diego-C** Win 13-1 580.44 Ignored Feb 1st Presidents Day Qualifiers 2025
13 Cal Poly-SLO** Loss 4-10 1479.87 Ignored Feb 2nd Presidents Day Qualifiers 2025
40 California Loss 5-8 1128.27 Feb 2nd Presidents Day Qualifiers 2025
123 California-San Diego-B Win 11-2 1515.74 Feb 2nd Presidents Day Qualifiers 2025
165 Cal Poly-SLO-B Win 13-2 1236.05 Feb 15th Santa Clara University WLT Tournament
192 California-Davis-B** Win 13-2 1075.58 Ignored Feb 15th Santa Clara University WLT Tournament
182 Occidental** Win 13-3 1134.79 Ignored Feb 15th Santa Clara University WLT Tournament
219 Cal Poly-Humboldt** Win 13-1 829.91 Ignored Feb 16th Santa Clara University WLT Tournament
165 Cal Poly-SLO-B Win 13-2 1236.05 Feb 16th Santa Clara University WLT Tournament
68 Santa Clara Win 10-9 1425.07 Feb 16th Santa Clara University WLT Tournament
220 Cal State-Long Beach** Win 11-2 822.63 Ignored Mar 2nd Claremont Classic 2025
123 California-San Diego-B Win 8-4 1480.55 Mar 2nd Claremont Classic 2025
133 Claremont Win 9-4 1423.43 Mar 2nd Claremont Classic 2025
145 Claremont-B Win 5-3 1147.81 Mar 2nd Claremont Classic 2025
220 Cal State-Long Beach** Win 12-3 822.63 Ignored Mar 8th Gnomageddon
133 Claremont Win 10-4 1423.43 Mar 8th Gnomageddon
249 California-San Diego-C** Win 12-1 580.44 Ignored Mar 8th Gnomageddon
222 California-Santa Barbara-B** Win 10-1 814.54 Ignored Mar 8th Gnomageddon
196 UCLA-B Win 9-5 997.13 Mar 9th Gnomageddon
106 San Diego State Loss 5-6 914.72 Mar 9th Gnomageddon
13 Cal Poly-SLO** Loss 1-15 1479.87 Ignored Apr 12th SoCal D I Womens Conferences 2025
10 California-San Diego** Loss 5-14 1513.72 Ignored Apr 12th SoCal D I Womens Conferences 2025
30 UCLA Loss 1-15 1118.34 Apr 12th SoCal D I Womens Conferences 2025
106 San Diego State Win 10-9 1164.72 Apr 12th SoCal D I Womens Conferences 2025
220 Cal State-Long Beach** Win 15-2 822.63 Ignored Apr 13th SoCal D I Womens Conferences 2025
41 Southern California Loss 3-15 973.6 Apr 13th SoCal D I Womens Conferences 2025
30 UCLA Loss 5-15 1118.34 Apr 13th SoCal D I Womens Conferences 2025
114 Arizona State Loss 12-14 734.93 Apr 26th Southwest D I College Womens Regionals 2025
165 Cal Poly-SLO-B Win 15-7 1236.05 Apr 26th Southwest D I College Womens Regionals 2025
23 California-Davis** Loss 3-15 1281.12 Ignored Apr 26th Southwest D I College Womens Regionals 2025
123 California-San Diego-B Win 10-8 1178.41 Apr 27th Southwest D I College Womens Regionals 2025
106 San Diego State Win 10-8 1302.39 Apr 27th Southwest D I College Womens Regionals 2025
**Blowout Eligible

FAQ

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
  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
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)