#190 Arkansas (5-9)

avg: 387.72  •  sd: 76.04  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
121 Trinity Loss 6-8 628.02 Feb 22nd Big D in lil d 2020 Women
179 Baylor Loss 5-8 23.63 Feb 22nd Big D in lil d 2020 Women
149 Texas-B Loss 3-9 122.12 Feb 22nd Big D in lil d 2020 Women
184 Texas Christian Loss 4-8 -121.62 Feb 22nd Big D in lil d 2020 Women
75 Colorado State** Loss 5-13 662.57 Ignored Feb 23rd Big D in lil d 2020 Women
142 Colorado-B Loss 3-7 195 Feb 23rd Big D in lil d 2020 Women
218 North Texas Win 9-7 345.92 Feb 23rd Big D in lil d 2020 Women
117 Iowa State Loss 5-7 631.11 Mar 7th Midwest Throwdown 2020
71 Purdue** Loss 4-12 681.75 Ignored Mar 7th Midwest Throwdown 2020
222 Wisconsin-Oshkosh Win 7-4 501.48 Mar 7th Midwest Throwdown 2020
153 Illinois Loss 5-8 239.27 Mar 8th Midwest Throwdown 2020
192 Grinnell Win 9-3 923.78 Mar 8th Midwest Throwdown 2020
232 Drake University Win 8-1 436.68 Mar 8th Midwest Throwdown 2020
227 Knox Win 13-4 555.76 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)