#154 Wisconsin-Milwaukee (5-10)

avg: 690.05  •  sd: 64.31  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
117 Iowa State Loss 7-9 679.91 Feb 15th Are we in love or just 2020
173 Jacksonville State Win 7-6 645.26 Feb 15th Are we in love or just 2020
31 Florida State** Loss 3-11 1063.97 Ignored Feb 15th Are we in love or just 2020
199 Belmont Loss 7-8 147.48 Feb 15th Are we in love or just 2020
72 Emory Loss 2-11 677.36 Feb 16th Are we in love or just 2020
199 Belmont Win 11-6 819.18 Feb 16th Are we in love or just 2020
93 Tennessee Loss 5-13 507.96 Feb 16th Are we in love or just 2020
232 Drake University** Win 12-5 436.68 Ignored Mar 7th Midwest Throwdown 2020
181 Macalester Win 7-5 801.16 Mar 7th Midwest Throwdown 2020
51 Texas-Dallas Loss 5-7 1101.83 Mar 7th Midwest Throwdown 2020
71 Purdue Loss 1-11 681.75 Mar 7th Midwest Throwdown 2020
137 Iowa Loss 4-6 451.68 Mar 8th Midwest Throwdown 2020
75 Colorado State Loss 2-13 662.57 Mar 8th Midwest Throwdown 2020
185 Washington University-B Win 10-2 1037.83 Mar 8th Midwest Throwdown 2020
51 Texas-Dallas** Loss 2-9 829.97 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)