#67 Wisconsin-Milwaukee (11-5)

avg: 1391.64  •  sd: 77.86  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
194 Kennesaw State Win 13-6 1458.55 Feb 29th Easterns Qualifier 2020
91 Indiana Win 12-10 1508.25 Feb 29th Easterns Qualifier 2020
48 Temple Loss 6-12 923.65 Feb 29th Easterns Qualifier 2020
23 William & Mary Loss 9-13 1369.66 Feb 29th Easterns Qualifier 2020
99 Central Florida Win 15-6 1811.68 Mar 1st Easterns Qualifier 2020
83 Penn State Win 15-11 1690.58 Mar 1st Easterns Qualifier 2020
55 Virginia Tech Loss 11-13 1238.11 Mar 1st Easterns Qualifier 2020
105 Kansas Loss 6-11 651.98 Mar 7th Midwest Throwdown 2020
256 Northern Iowa** Win 9-2 1198.55 Ignored Mar 7th Midwest Throwdown 2020
84 Missouri S&T Loss 9-10 1182.9 Mar 7th Midwest Throwdown 2020
292 Wisconsin-Oshkosh** Win 12-2 1006.88 Ignored Mar 7th Midwest Throwdown 2020
105 Kansas Win 8-7 1323.67 Mar 8th Midwest Throwdown 2020
133 Missouri Win 8-6 1393.16 Mar 8th Midwest Throwdown 2020
108 Chicago Win 11-6 1729.17 Mar 8th Midwest Throwdown 2020
77 Iowa State Win 9-6 1744.62 Mar 8th Midwest Throwdown 2020
129 Wisconsin-Whitewater Win 11-8 1468.85 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)