#124 San Jose State (16-10)

avg: 1392.34  •  sd: 56.81  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
235 Claremont Win 11-3 1595.21 Feb 3rd Stanford Open 2024
361 Oregon State-B** Win 13-4 1040.58 Ignored Feb 3rd Stanford Open 2024
178 Portland Loss 7-9 929.43 Feb 3rd Stanford Open 2024
338 Cal Poly-Humboldt** Win 12-4 1163.56 Ignored Mar 9th Silicon Valley Rally 2024
221 California-B Win 10-8 1311.58 Mar 9th Silicon Valley Rally 2024
230 California-Davis Win 10-8 1278.05 Mar 9th Silicon Valley Rally 2024
221 California-B Loss 6-9 630.35 Mar 10th Silicon Valley Rally 2024
334 California-Santa Barbara-B** Win 13-4 1181.39 Ignored Mar 10th Silicon Valley Rally 2024
158 UCLA-B Win 13-6 1889.07 Mar 10th Silicon Valley Rally 2024
255 Cal State-Long Beach Win 7-3 1522.79 Mar 30th 2024 Sinvite
332 California-San Diego-B** Win 12-1 1191.08 Ignored Mar 30th 2024 Sinvite
71 Grand Canyon Loss 5-7 1301.43 Mar 30th 2024 Sinvite
298 Southern California-B** Win 11-4 1320.15 Ignored Mar 30th 2024 Sinvite
133 Arizona State Win 11-6 1921.79 Mar 31st 2024 Sinvite
221 California-B Win 12-8 1490.07 Mar 31st 2024 Sinvite
71 Grand Canyon Loss 5-11 1029.57 Mar 31st 2024 Sinvite
338 Cal Poly-Humboldt** Win 13-2 1163.56 Ignored Apr 13th NorCal D I Mens Conferences 2024
33 California-Santa Cruz Loss 4-13 1307.18 Apr 13th NorCal D I Mens Conferences 2024
344 Chico State** Win 13-4 1140.15 Ignored Apr 13th NorCal D I Mens Conferences 2024
144 Santa Clara Win 9-8 1461.2 Apr 13th NorCal D I Mens Conferences 2024
15 California Loss 7-12 1636.95 Apr 14th NorCal D I Mens Conferences 2024
67 Stanford Loss 7-9 1392.23 Apr 14th NorCal D I Mens Conferences 2024
230 California-Davis Win 13-4 1615.39 Apr 27th Southwest D I College Mens Regionals 2024
71 Grand Canyon Loss 11-12 1504.57 Apr 27th Southwest D I College Mens Regionals 2024
67 Stanford Loss 5-11 1071.57 Apr 27th Southwest D I College Mens Regionals 2024
121 Cal Poly-SLO-B Loss 7-8 1276.25 Apr 28th Southwest D I College Mens Regionals 2024
**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)