#94 Tennessee-Chattanooga (12-5)

avg: 1279.56  •  sd: 76.9  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
313 Alabama-B** Win 13-3 901.37 Ignored Jan 25th T Town Throwdown XX
269 Jacksonville State** Win 13-2 1135.3 Ignored Jan 25th T Town Throwdown XX
135 Mississippi State Loss 9-11 862.07 Jan 25th T Town Throwdown XX
185 Union (Tennessee) Win 13-10 1207.06 Jan 25th T Town Throwdown XX
172 Alabama-Birmingham Win 13-8 1446.37 Jan 26th T Town Throwdown XX
160 LSU Loss 12-13 867.08 Jan 26th T Town Throwdown XX
185 Union (Tennessee) Win 15-3 1478.92 Jan 26th T Town Throwdown XX
104 Alabama Loss 12-13 1113.96 Feb 22nd Mardi Gras XXXVII
30 Ave Maria Loss 10-13 1395.76 Feb 22nd Mardi Gras XXXVII
93 Colorado-B Win 13-7 1837.8 Feb 22nd Mardi Gras XXXVII
103 Texas A&M Win 12-10 1478.79 Feb 22nd Mardi Gras XXXVII
249 Cedarville** Win 12-3 1212.8 Ignored Mar 29th Needle in a Ho Stack 2025
344 South Carolina-B** Win 13-3 729.6 Ignored Mar 29th Needle in a Ho Stack 2025
255 Wake Forest** Win 13-5 1186.48 Ignored Mar 29th Needle in a Ho Stack 2025
130 Charleston Win 13-6 1723.67 Mar 30th Needle in a Ho Stack 2025
184 East Carolina Win 12-11 1014.71 Mar 30th Needle in a Ho Stack 2025
65 Tennessee Loss 8-15 888.73 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)