#237 North Texas (4-11)

avg: 259.68  •  sd: 65.13  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
195 Texas A&M Win 8-7 693.44 Feb 16th Big D in lil d Women
109 Texas State** Loss 2-11 464.56 Ignored Feb 16th Big D in lil d Women
72 Texas-Dallas** Loss 1-11 726.4 Ignored Feb 16th Big D in lil d Women
189 Tulane Loss 2-10 -6.02 Feb 16th Big D in lil d Women
191 Texas Christian Loss 5-6 453.39 Feb 17th Big D in lil d Women
260 Hendrix Win 9-7 350.24 Feb 17th Big D in lil d Women
191 Texas Christian Loss 4-12 -21.61 Mar 2nd Mardi Gras XXXII
143 Alabama** Loss 5-13 297.51 Ignored Mar 2nd Mardi Gras XXXII
- Sam Houston State Win 13-3 600 Ignored Mar 2nd Mardi Gras XXXII
80 St Olaf** Loss 5-13 671.04 Ignored Mar 23rd Womens College Centex 2019
278 Texas-B** Win 12-3 259.35 Ignored Mar 23rd Womens College Centex 2019
108 Southern California** Loss 2-10 472.45 Ignored Mar 23rd Womens College Centex 2019
173 Baylor Loss 7-8 597.32 Mar 23rd Womens College Centex 2019
199 Miami Loss 2-10 -46.38 Mar 24th Womens College Centex 2019
168 Rice Loss 2-15 166.54 Mar 24th Womens College Centex 2019
**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)