#39 Clemson (12-2)

avg: 2019.14  •  sd: 131.01  •  top 16/20: 3.4%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
271 Charleston** Win 11-4 600 Ignored Jan 27th Joint Summit XXXVI College Women
132 Cincinnati** Win 11-4 1883.67 Ignored Jan 27th Joint Summit XXXVI College Women
159 Appalachian State Win 11-7 1604.45 Jan 27th Joint Summit XXXVI College Women
59 South Carolina Win 9-8 1952.83 Jan 27th Joint Summit XXXVI College Women
62 Central Florida Win 9-6 2217.44 Mar 3rd Cola Classic 2018
90 Georgia College Win 9-4 2162.37 Mar 3rd Cola Classic 2018
59 South Carolina Win 8-6 2128.32 Mar 3rd Cola Classic 2018
226 North Carolina-B** Win 13-2 1289.36 Ignored Mar 3rd Cola Classic 2018
170 North Carolina-Asheville** Win 13-1 1652.04 Ignored Mar 4th Cola Classic 2018
141 North Georgia** Win 13-4 1842.65 Ignored Mar 4th Cola Classic 2018
48 Georgia Win 15-9 2471.06 Mar 31st Easterns 2018
148 Virginia Tech** Win 15-1 1789.59 Ignored Mar 31st Easterns 2018
46 North Carolina-Wilmington Loss 12-13 1853.21 Mar 31st Easterns 2018
49 Duke Loss 9-11 1702.27 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)