#127 Clemson (12-5)

avg: 1134.14  •  sd: 67.27  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
185 Union (Tennessee) Win 13-12 1003.92 Feb 8th Bulldog Brawl
158 Vanderbilt Win 11-7 1469.71 Feb 8th Bulldog Brawl
67 Indiana Loss 7-13 885.71 Feb 8th Bulldog Brawl
194 Saint Louis Loss 10-11 727 Feb 8th Bulldog Brawl
282 Tennessee Tech** Win 15-6 1049.75 Ignored Feb 9th Bulldog Brawl
308 Mississippi State-B** Win 13-2 937.25 Ignored Feb 9th Bulldog Brawl
268 Harding Win 14-6 1135.96 Feb 9th Bulldog Brawl
187 North Carolina-B Loss 11-12 739.39 Mar 1st Joint Summit 2025
344 South Carolina-B** Win 13-1 729.6 Ignored Mar 1st Joint Summit 2025
198 Georgia State Win 12-7 1355.81 Mar 1st Joint Summit 2025
257 East Tennessee State Win 15-6 1180.24 Mar 1st Joint Summit 2025
119 Central Florida Loss 11-15 800.22 Mar 2nd Joint Summit 2025
198 Georgia State Win 11-1 1435.3 Mar 2nd Joint Summit 2025
69 Auburn Loss 4-11 828.39 Mar 15th Tally Classic XIX
119 Central Florida Win 7-6 1306.39 Mar 15th Tally Classic XIX
134 South Florida Win 13-10 1440.55 Mar 15th Tally Classic XIX
79 Florida Win 11-10 1472.88 Mar 15th Tally Classic XIX
**Blowout Eligible

FAQ

What is the uncertainty of the mean?
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
What's the algorithm again?
  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
Is there a longer explanation of all this?
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)