#79 Tennessee (12-4)

avg: 1478.92  •  sd: 82.43  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
134 Catholic Win 7-5 1386.85 Feb 15th 2025 Commonwealth Cup Weekend 1
48 Liberty Loss 7-10 1429.91 Feb 15th 2025 Commonwealth Cup Weekend 1
92 Richmond Win 8-6 1656.59 Feb 15th 2025 Commonwealth Cup Weekend 1
59 Davenport Loss 6-9 1241.11 Feb 16th 2025 Commonwealth Cup Weekend 1
107 Virginia Tech Win 10-4 1853.9 Feb 16th 2025 Commonwealth Cup Weekend 1
118 Clemson Win 9-8 1319.37 Mar 8th The Only Tenn I See 2025
192 Tennessee-Chattanooga** Win 12-2 1211.46 Ignored Mar 8th The Only Tenn I See 2025
118 Clemson Win 11-6 1741.06 Mar 9th The Only Tenn I See 2025
192 Tennessee-Chattanooga** Win 13-1 1211.46 Ignored Mar 9th The Only Tenn I See 2025
55 Appalachian State Loss 7-11 1232.49 Mar 29th Needle in a Ho Stack 2025
142 Berry Win 12-3 1602.17 Mar 29th Needle in a Ho Stack 2025
242 Emory-B** Win 13-0 444.95 Ignored Mar 29th Needle in a Ho Stack 2025
203 Florida Tech** Win 13-3 1138.33 Ignored Mar 29th Needle in a Ho Stack 2025
99 Emory Win 11-10 1446.96 Mar 30th Needle in a Ho Stack 2025
29 Georgia Tech Loss 1-15 1458.72 Mar 30th Needle in a Ho Stack 2025
95 Williams Win 9-8 1463.62 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)