#173 Clemson (10-4)

avg: 939.13  •  sd: 56.51  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
201 Alabama-Birmingham Loss 10-11 701.87 Feb 24th Joint Summit 2024
250 Georgia Tech-B Win 11-7 1094.75 Feb 24th Joint Summit 2024
324 Coastal Carolina** Win 12-2 826.15 Ignored Feb 24th Joint Summit 2024
185 South Florida Win 10-9 991.3 Feb 24th Joint Summit 2024
201 Alabama-Birmingham Win 13-12 951.87 Feb 25th Joint Summit 2024
296 South Carolina-B Win 13-5 969.12 Feb 25th Joint Summit 2024
185 South Florida Win 13-8 1362.46 Feb 25th Joint Summit 2024
201 Alabama-Birmingham Win 10-9 951.87 Mar 16th Tally Classic XVIII
57 Auburn Loss 4-13 847.19 Mar 16th Tally Classic XVIII
105 Mississippi State Loss 6-13 610.79 Mar 16th Tally Classic XVIII
97 Florida State Loss 7-11 780.87 Mar 16th Tally Classic XVIII
201 Alabama-Birmingham Win 6-4 1192.48 Mar 17th Tally Classic XVIII
360 North Florida** Win 13-2 559.96 Ignored Mar 17th Tally Classic XVIII
200 Spring Hill Win 13-12 953.24 Mar 17th Tally Classic XVIII
**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)