#40 Iowa (10-5)

avg: 1624.81  •  sd: 72.32  •  top 16/20: 0.7%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
78 Georgetown Win 13-2 2015.07 Feb 17th Easterns Qualifier 2018
73 Michigan State Win 12-9 1764.91 Feb 17th Easterns Qualifier 2018
23 Georgia Tech Loss 8-12 1302.81 Feb 17th Easterns Qualifier 2018
133 Case Western Reserve Win 13-8 1671.93 Feb 17th Easterns Qualifier 2018
12 North Carolina State Loss 6-13 1318.86 Feb 17th Easterns Qualifier 2018
51 Ohio State Win 13-12 1662.69 Feb 18th Easterns Qualifier 2018
64 North Carolina-Charlotte Win 15-11 1843.67 Feb 18th Easterns Qualifier 2018
61 James Madison Win 15-8 2037.33 Feb 18th Easterns Qualifier 2018
39 Northwestern Win 11-10 1753.7 Mar 10th Mens Centex 2018
27 Texas State Loss 8-10 1458.49 Mar 10th Mens Centex 2018
31 LSU Win 10-9 1824.56 Mar 10th Mens Centex 2018
112 Texas Tech Win 12-7 1805.59 Mar 10th Mens Centex 2018
82 Oklahoma State Loss 10-14 1008.49 Mar 11th Mens Centex 2018
114 Minnesota-Duluth Win 10-7 1670.73 Mar 11th Mens Centex 2018
68 Baylor Loss 12-13 1329.82 Mar 11th Mens Centex 2018
**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)