#110 Berry (15-3)

avg: 1207.55  •  sd: 66.15  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
104 Alabama Win 13-12 1363.96 Jan 25th T Town Throwdown XX
250 Illinois State Win 13-7 1170.12 Jan 25th T Town Throwdown XX
373 Tennessee-Chattanooga -B** Win 13-1 509.38 Ignored Jan 25th T Town Throwdown XX
160 LSU Win 13-9 1410.64 Jan 25th T Town Throwdown XX
104 Alabama Win 15-12 1539.45 Jan 26th T Town Throwdown XX
268 Harding** Win 13-2 1135.96 Ignored Jan 26th T Town Throwdown XX
185 Union (Tennessee) Win 13-11 1107.76 Jan 26th T Town Throwdown XX
160 LSU Win 15-8 1556.88 Jan 26th T Town Throwdown XX
282 Tennessee Tech Win 13-7 1007.28 Feb 8th Bulldog Brawl
308 Mississippi State-B** Win 13-2 937.25 Ignored Feb 8th Bulldog Brawl
90 Missouri S&T Loss 11-13 1066.47 Feb 8th Bulldog Brawl
158 Vanderbilt Win 13-9 1421.38 Feb 8th Bulldog Brawl
135 Mississippi State Win 15-13 1325.46 Feb 9th Bulldog Brawl
72 Southern Illinois-Edwardsville Loss 14-15 1271.61 Feb 9th Bulldog Brawl
133 Lipscomb Win 13-10 1443 Feb 9th Bulldog Brawl
198 Georgia State Loss 14-15 710.3 Mar 15th Tally Classic XIX
222 Harvard Win 15-9 1225.38 Mar 15th Tally Classic XIX
216 Minnesota-Duluth Win 11-10 866.78 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)