#183 Kennesaw State (4-13)

avg: 890.74  •  sd: 66.56  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
158 Vanderbilt Win 12-7 1523.33 Feb 8th Bulldog Brawl
72 Southern Illinois-Edwardsville Loss 8-13 900.45 Feb 8th Bulldog Brawl
185 Union (Tennessee) Loss 9-11 629.71 Feb 8th Bulldog Brawl
282 Tennessee Tech Win 12-7 970.26 Feb 8th Bulldog Brawl
67 Indiana Loss 10-15 989.64 Feb 9th Bulldog Brawl
90 Missouri S&T Loss 9-15 779.83 Feb 9th Bulldog Brawl
194 Saint Louis Win 11-8 1217.61 Feb 9th Bulldog Brawl
97 Duke Loss 5-13 673.42 Feb 22nd Easterns Qualifier 2025
47 McGill Loss 8-12 1150.28 Feb 22nd Easterns Qualifier 2025
84 Ohio State Loss 9-10 1194.67 Feb 22nd Easterns Qualifier 2025
32 Virginia** Loss 3-13 1079.87 Ignored Feb 22nd Easterns Qualifier 2025
96 Appalachian State Loss 13-14 1149.42 Feb 23rd Easterns Qualifier 2025
128 SUNY-Binghamton Loss 9-14 654.2 Feb 23rd Easterns Qualifier 2025
102 Syracuse Loss 6-14 660.39 Feb 23rd Easterns Qualifier 2025
160 LSU Loss 8-15 427.27 Mar 15th Tally Classic XIX
134 South Florida Loss 6-9 693.84 Mar 15th Tally Classic XIX
224 North Florida Win 8-7 824.73 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)