#221 Florida-B (7-6)

avg: 541.69  •  sd: 97.11  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
254 Alabama-B Win 13-7 927.61 Jan 28th T Town Throwdown1
117 Mississippi State Loss 5-13 475.61 Jan 28th T Town Throwdown1
225 Jacksonville State Win 13-9 945.35 Jan 28th T Town Throwdown1
222 Spring Hill Loss 9-13 119.4 Jan 28th T Town Throwdown1
254 Alabama-B Win 13-4 970.08 Jan 29th T Town Throwdown1
308 North Florida** Win 13-1 370.08 Ignored Jan 29th T Town Throwdown1
247 Georgia Southern Win 13-6 1013.37 Jan 29th T Town Throwdown1
60 Appalachian State** Loss 2-13 757.46 Ignored Mar 18th College Southerns XXI
151 Carleton College-CHOP Loss 1-13 358.87 Mar 18th College Southerns XXI
247 Georgia Southern Loss 6-11 -133.32 Mar 18th College Southerns XXI
148 East Carolina Loss 9-13 545.52 Mar 18th College Southerns XXI
- Charleston Win 8-3 831.54 Mar 19th College Southerns XXI
- Florida Gulf Coast University Win 11-10 331.91 Mar 19th College Southerns XXI
**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)