#75 Tennessee (7-5)

avg: 1095.34  •  sd: 116.22  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
183 Georgia Tech-B** Win 11-2 563.87 Ignored Feb 11th 2023 TOTS The Only Tenn I See
168 LSU** Win 11-1 829.32 Ignored Feb 11th 2023 TOTS The Only Tenn I See
127 Union (Tennessee) Win 9-3 1266.46 Feb 11th 2023 TOTS The Only Tenn I See
190 Vanderbilt** Win 11-0 477.74 Ignored Feb 11th 2023 TOTS The Only Tenn I See
63 Georgia Tech Win 10-3 1797.1 Feb 12th 2023 TOTS The Only Tenn I See
89 Tennessee-Chattanooga Win 13-3 1553.2 Feb 12th 2023 TOTS The Only Tenn I See
22 South Carolina Loss 1-15 984 Feb 25th Commonwealth Cup Weekend2 2023
72 Carnegie Mellon Loss 9-14 631.6 Feb 25th Commonwealth Cup Weekend2 2023
25 Notre Dame Loss 4-15 953.33 Feb 25th Commonwealth Cup Weekend2 2023
51 Florida Loss 8-9 1226.31 Feb 26th Commonwealth Cup Weekend2 2023
147 Maryland Win 12-7 996.48 Feb 26th Commonwealth Cup Weekend2 2023
92 Temple Loss 6-8 643.23 Feb 26th Commonwealth Cup Weekend2 2023
**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)