#95 Wisconsin-Milwaukee (9-3)

avg: 1203.51  •  sd: 61.29  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
110 Liberty Win 13-6 1711.46 Feb 18th Commonwealth Cup Weekend1 2023
156 Franciscan Win 13-12 1059.86 Feb 18th Commonwealth Cup Weekend1 2023
202 North Carolina-B Win 13-8 1144.26 Feb 18th Commonwealth Cup Weekend1 2023
231 Christopher Newport Win 13-8 974.75 Feb 19th Commonwealth Cup Weekend1 2023
131 Elon Win 9-7 1295.7 Feb 19th Commonwealth Cup Weekend1 2023
194 Davidson Win 10-6 1187.92 Feb 19th Commonwealth Cup Weekend1 2023
151 Carleton College-CHOP Win 13-7 1516.4 Mar 4th Midwest Throwdown 2023
242 Illinois-B** Win 13-3 1034.04 Ignored Mar 4th Midwest Throwdown 2023
34 Washington University Loss 8-11 1175.87 Mar 4th Midwest Throwdown 2023
112 Missouri S&T Loss 8-9 982.72 Mar 5th Midwest Throwdown 2023
140 Saint Louis Win 11-10 1107.09 Mar 5th Midwest Throwdown 2023
92 St. Olaf Loss 9-10 1092.95 Mar 5th Midwest Throwdown 2023
**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)