#48 Georgia (14-8)

avg: 1955.58  •  sd: 56.61  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
62 Central Florida Win 9-5 2327.93 Jan 13th Florida Winter Classic 2018
174 Florida-B** Win 12-3 1637.55 Ignored Jan 13th Florida Winter Classic 2018
180 South Florida** Win 11-2 1600.57 Ignored Jan 13th Florida Winter Classic 2018
141 North Georgia** Win 13-3 1842.65 Ignored Jan 13th Florida Winter Classic 2018
89 Iowa Win 13-7 2128.01 Jan 14th Florida Winter Classic 2018
8 West Chester Loss 10-14 2107.27 Jan 14th Florida Winter Classic 2018
46 North Carolina-Wilmington Loss 6-9 1559.64 Jan 14th Florida Winter Classic 2018
32 Florida Loss 3-10 1480.24 Jan 14th Florida Winter Classic 2018
25 Notre Dame Win 7-5 2467.85 Feb 3rd Queen City Tune Up 2018 College Women
93 Cornell Win 11-6 2087.31 Feb 3rd Queen City Tune Up 2018 College Women
1 Dartmouth** Loss 5-13 2297.25 Ignored Feb 3rd Queen City Tune Up 2018 College Women
66 Virginia Win 10-9 1896.7 Feb 3rd Queen City Tune Up 2018 College Women
7 Tufts Loss 6-15 1908.79 Feb 24th Commonwealth Cup 2018
46 North Carolina-Wilmington Win 13-10 2306.35 Feb 24th Commonwealth Cup 2018
66 Virginia Win 11-9 2020.91 Feb 24th Commonwealth Cup 2018
75 Pennsylvania Win 12-9 2046.9 Feb 25th Commonwealth Cup 2018
59 South Carolina Loss 11-12 1702.83 Feb 25th Commonwealth Cup 2018
66 Virginia Win 9-7 2051.04 Feb 25th Commonwealth Cup 2018
148 Virginia Tech** Win 15-4 1789.59 Ignored Mar 31st Easterns 2018
46 North Carolina-Wilmington Loss 12-13 1853.21 Mar 31st Easterns 2018
39 Clemson Loss 9-15 1503.66 Mar 31st Easterns 2018
93 Cornell Win 15-9 2056.09 Mar 31st Easterns 2018
**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)