#51 Texas-Dallas (14-1)

avg: 1429.97  •  sd: 90.78  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
218 North Texas** Win 13-4 666.58 Ignored Feb 22nd Big D in lil d 2020 Women
87 Texas A&M Win 9-5 1690.15 Feb 22nd Big D in lil d 2020 Women
77 Texas State Win 8-5 1694.07 Feb 22nd Big D in lil d 2020 Women
119 Rice Win 8-5 1395.73 Feb 22nd Big D in lil d 2020 Women
121 Trinity Win 13-3 1528.51 Feb 23rd Big D in lil d 2020 Women
75 Colorado State Win 9-7 1541.9 Feb 23rd Big D in lil d 2020 Women
142 Colorado-B Win 9-4 1395 Feb 23rd Big D in lil d 2020 Women
117 Iowa State Win 8-5 1412.86 Mar 7th Midwest Throwdown 2020
232 Drake University** Win 11-1 436.68 Ignored Mar 7th Midwest Throwdown 2020
181 Macalester** Win 11-4 1073.02 Ignored Mar 7th Midwest Throwdown 2020
154 Wisconsin-Milwaukee Win 7-5 1018.19 Mar 7th Midwest Throwdown 2020
57 Kansas Win 7-6 1495.45 Mar 8th Midwest Throwdown 2020
80 St Olaf Win 8-7 1344.07 Mar 8th Midwest Throwdown 2020
22 Northwestern Loss 4-8 1224.93 Mar 8th Midwest Throwdown 2020
154 Wisconsin-Milwaukee** Win 9-2 1290.05 Ignored Mar 8th Midwest Throwdown 2020
**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)