#44 Washington University (18-7)

avg: 1563.11  •  sd: 67.83  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
197 Harding** Win 11-3 1057.52 Ignored Feb 22nd Dust Bowl 2025
28 Missouri Loss 7-10 1344.42 Feb 22nd Dust Bowl 2025
186 Missouri State Win 9-5 1027.46 Feb 22nd Dust Bowl 2025
28 Missouri Loss 9-11 1484.88 Feb 23rd Dust Bowl 2025
194 St Olaf-B** Win 12-5 1071.63 Ignored Feb 23rd Dust Bowl 2025
55 St Olaf Win 6-4 1807.5 Feb 23rd Dust Bowl 2025
28 Missouri Loss 6-9 1315.52 Mar 1st Midwest Throwdown 2025
118 Northwestern** Win 11-4 1539.61 Ignored Mar 1st Midwest Throwdown 2025
200 Truman State** Win 13-5 1036.94 Ignored Mar 1st Midwest Throwdown 2025
55 St Olaf Win 10-3 2041.89 Mar 1st Midwest Throwdown 2025
132 Iowa Win 11-6 1373.54 Mar 2nd Midwest Throwdown 2025
28 Missouri Win 10-9 1859.08 Mar 2nd Midwest Throwdown 2025
55 St Olaf Win 12-6 2021.2 Mar 2nd Midwest Throwdown 2025
40 California Win 9-8 1706.88 Mar 22nd Womens Centex 2025
205 Texas A&M** Win 13-0 950.14 Ignored Mar 22nd Womens Centex 2025
136 Trinity** Win 13-5 1406.8 Ignored Mar 22nd Womens Centex 2025
40 California Loss 11-12 1456.88 Mar 23rd Womens Centex 2025
89 Rice Win 14-9 1605.71 Mar 23rd Womens Centex 2025
45 Texas-Dallas Loss 11-15 1180.48 Mar 23rd Womens Centex 2025
111 Kansas Win 15-6 1601.06 Apr 12th Ozarks D I Womens Conferences 2025
28 Missouri Loss 6-15 1134.08 Apr 13th Ozarks D I Womens Conferences 2025
107 Denver Win 13-4 1631.18 Apr 26th South Central D I College Womens Regionals 2025
97 Arkansas Win 13-6 1693.15 Apr 27th South Central D I College Womens Regionals 2025
27 Texas Loss 9-13 1352.1 Apr 27th South Central D I College Womens Regionals 2025
45 Texas-Dallas Win 10-6 2057.8 Apr 27th South Central 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)