#107 Georgetown (6-6)

avg: 1034.49  •  sd: 65.77  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
34 James Madison Loss 7-11 1165.22 Jan 25th Winta Binta Vinta Fest 2020
217 Virginia-B** Win 13-1 679.69 Ignored Jan 25th Winta Binta Vinta Fest 2020
168 Virginia Commonwealth Win 13-5 1145.55 Jan 25th Winta Binta Vinta Fest 2020
65 Liberty Loss 6-10 818.07 Jan 26th Winta Binta Vinta Fest 2020
217 Virginia-B** Win 15-0 679.69 Ignored Jan 26th Winta Binta Vinta Fest 2020
168 Virginia Commonwealth Win 12-2 1145.55 Jan 26th Winta Binta Vinta Fest 2020
37 Boston University Loss 5-12 958.66 Feb 15th Commonwealth Cup 2020 Weekend 1
48 Case Western Reserve Loss 7-13 899.68 Feb 15th Commonwealth Cup 2020 Weekend 1
111 Maryland Win 10-8 1280.27 Feb 15th Commonwealth Cup 2020 Weekend 1
81 Boston College Loss 5-9 689.16 Feb 16th Commonwealth Cup 2020 Weekend 1
101 Connecticut Loss 9-10 933.76 Feb 16th Commonwealth Cup 2020 Weekend 1
111 Maryland Win 9-7 1296.94 Feb 16th Commonwealth Cup 2020 Weekend 1
**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)