#46 Texas (8-11)

avg: 1676.99  •  sd: 82.73  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
92 Saint Louis Win 15-0 1872.48 Feb 17th Dust Bowl 2024
84 Iowa State Win 9-3 1923.81 Feb 17th Dust Bowl 2024
121 John Brown Win 7-6 1131.52 Feb 17th Dust Bowl 2024
64 Missouri Loss 4-6 1118.75 Feb 17th Dust Bowl 2024
36 Texas-Dallas Loss 4-9 1193.5 Feb 17th Dust Bowl 2024
72 Arkansas Win 12-5 1996.22 Feb 18th Dust Bowl 2024
1 British Columbia** Loss 4-13 2294.15 Ignored Mar 2nd Stanford Invite 2024
15 California-San Diego Loss 2-10 1562.55 Mar 2nd Stanford Invite 2024
14 California-Santa Cruz Loss 4-9 1580.23 Mar 2nd Stanford Invite 2024
32 UCLA Win 8-6 2152.37 Mar 2nd Stanford Invite 2024
23 Cal Poly-SLO Loss 6-8 1670.79 Mar 3rd Stanford Invite 2024
30 California Loss 1-10 1284.55 Mar 3rd Stanford Invite 2024
31 Brown Loss 6-11 1327.5 Mar 16th Womens Centex 2024
19 Colorado State Loss 9-13 1694.64 Mar 16th Womens Centex 2024
108 Middlebury Win 13-7 1703.97 Mar 16th Womens Centex 2024
96 Chicago Win 13-3 1851 Mar 17th Womens Centex 2024
19 Colorado State Loss 11-15 1732.04 Mar 17th Womens Centex 2024
21 Ohio State Loss 8-13 1586 Mar 17th Womens Centex 2024
37 Washington University Win 15-6 2368.65 Mar 17th Womens Centex 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)