#360 North Florida (3-9)

avg: -40.04  •  sd: 151.05  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
311 Florida Gulf Coast Loss 5-13 -310.3 Feb 24th Florida Warm Up 2024 Weekend 2
334 Florida Polytechnic Loss 8-9 25.25 Feb 24th Florida Warm Up 2024 Weekend 2
293 Florida Tech Loss 6-13 -210.68 Feb 24th Florida Warm Up 2024 Weekend 2
380 South Florida-B Win 12-3 119.6 Feb 24th Florida Warm Up 2024 Weekend 2
381 Ave Maria-B Win 11-6 -14.94 Feb 25th Florida Warm Up 2024 Weekend 2
380 South Florida-B Win 7-6 -355.4 Feb 25th Florida Warm Up 2024 Weekend 2
201 Alabama-Birmingham Loss 7-11 359.97 Mar 16th Tally Classic XVIII
57 Auburn** Loss 4-13 847.19 Ignored Mar 16th Tally Classic XVIII
97 Florida State** Loss 2-13 647.77 Ignored Mar 16th Tally Classic XVIII
105 Mississippi State** Loss 3-13 610.79 Ignored Mar 16th Tally Classic XVIII
173 Clemson** Loss 2-13 339.13 Ignored Mar 17th Tally Classic XVIII
200 Spring Hill** Loss 4-13 228.24 Ignored Mar 17th Tally Classic XVIII
**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)