#134 Washington State (9-4)

avg: 847.81  •  sd: 79.84  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
192 Portland State Win 15-1 996.71 Jan 27th Trouble in Corvegas
22 Oregon State Loss 10-15 1270.55 Jan 27th Trouble in Corvegas
229 Oregon State-B** Win 15-5 656.3 Ignored Jan 27th Trouble in Corvegas
109 Western Washington Loss 9-15 489.61 Jan 27th Trouble in Corvegas
212 Cal Poly-Humboldt Win 15-7 860.86 Jan 28th Trouble in Corvegas
109 Western Washington Loss 12-15 704.6 Jan 28th Trouble in Corvegas
192 Portland State Win 15-10 850.32 Jan 28th Trouble in Corvegas
131 Gonzaga Loss 7-12 355.91 Feb 24th Palouse Open 2024
210 Idaho Win 15-4 877.76 Feb 24th Palouse Open 2024
233 Boise State Win 15-7 573.29 Feb 24th Palouse Open 2024
206 Whitworth Win 15-5 917.18 Feb 24th Palouse Open 2024
131 Gonzaga Win 10-5 1450.32 Feb 25th Palouse Open 2024
206 Whitworth Win 11-4 917.18 Feb 25th Palouse Open 2024
**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)