#111 Maryland (5-8)

avg: 1017.61  •  sd: 75.04  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
34 James Madison** Loss 2-13 1032.11 Ignored Feb 15th Commonwealth Cup 2020 Weekend 1
107 Georgetown Loss 8-10 771.82 Feb 15th Commonwealth Cup 2020 Weekend 1
24 Ohio Loss 6-13 1183.41 Feb 15th Commonwealth Cup 2020 Weekend 1
132 George Mason Win 12-11 965.98 Feb 16th Commonwealth Cup 2020 Weekend 1
107 Georgetown Loss 7-9 755.15 Feb 16th Commonwealth Cup 2020 Weekend 1
79 Temple Loss 4-11 626.54 Feb 16th Commonwealth Cup 2020 Weekend 1
143 East Carolina Loss 6-7 665.05 Feb 29th Cutlass Classic 2020
53 Kennesaw State Loss 4-9 800.36 Feb 29th Cutlass Classic 2020
182 Charleston Win 11-3 1062.09 Feb 29th Cutlass Classic 2020
134 Catholic Win 8-5 1283.59 Feb 29th Cutlass Classic 2020
42 George Washington Loss 8-13 1046.61 Mar 1st Cutlass Classic 2020
98 North Georgia Win 9-6 1490.91 Mar 1st Cutlass Classic 2020
134 Catholic Win 15-4 1429.99 Mar 1st Cutlass Classic 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)