#142 Berry (8-7)

avg: 1002.17  •  sd: 89.15  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
156 Alabama Win 10-6 1434.78 Jan 25th T Town Throwdown XX
190 Vanderbilt Win 8-5 1108.78 Jan 25th T Town Throwdown XX
156 Alabama Win 10-6 1434.78 Jan 26th T Town Throwdown XX
156 Alabama Win 8-7 1063.62 Mar 22nd Moxie Madness 2025
222 Auburn** Win 10-4 967.8 Ignored Mar 22nd Moxie Madness 2025
34 Ohio Loss 7-11 1491.67 Mar 22nd Moxie Madness 2025
192 Tennessee-Chattanooga Win 10-5 1185.35 Mar 23rd Moxie Madness 2025
73 Union (Tennessee) Loss 3-11 922.08 Mar 23rd Moxie Madness 2025
124 Xavier Loss 6-9 715.93 Mar 23rd Moxie Madness 2025
55 Appalachian State** Loss 2-10 1099.38 Ignored Mar 29th Needle in a Ho Stack 2025
203 Florida Tech Win 9-6 956.89 Mar 29th Needle in a Ho Stack 2025
79 Tennessee Loss 3-12 878.92 Mar 29th Needle in a Ho Stack 2025
242 Emory-B** Win 13-1 444.95 Ignored Mar 29th Needle in a Ho Stack 2025
140 North Carolina-Wilmington Loss 7-8 888.23 Mar 30th Needle in a Ho Stack 2025
176 Charleston Loss 2-7 174.01 Mar 30th Needle in a Ho Stack 2025
**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)