#14 Florida (18-7)

avg: 1886.82  •  sd: 43.45  •  top 16/20: 96.2%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
1 North Carolina Loss 8-13 1849.18 Jan 20th Carolina Kickoff 2018 NC Ultimate
12 North Carolina State Win 12-11 2043.86 Jan 20th Carolina Kickoff 2018 NC Ultimate
91 Penn State Win 13-8 1870.06 Jan 20th Carolina Kickoff 2018 NC Ultimate
16 North Carolina-Wilmington Loss 10-11 1759.51 Jan 21st Carolina Kickoff 2018 NC Ultimate
69 Carleton College-GoP Win 13-9 1868.02 Jan 21st Carolina Kickoff 2018 NC Ultimate
52 Harvard Win 13-11 1764.85 Feb 16th Warm Up A Florida Affair 2018
111 Arizona State Win 12-7 1809.72 Feb 16th Warm Up A Florida Affair 2018
39 Northwestern Loss 10-13 1300.56 Feb 16th Warm Up A Florida Affair 2018
13 Wisconsin Win 13-10 2245.26 Feb 16th Warm Up A Florida Affair 2018
160 Oklahoma** Win 13-5 1692.6 Ignored Feb 17th Warm Up A Florida Affair 2018
21 Texas A&M Win 13-9 2240.63 Feb 17th Warm Up A Florida Affair 2018
2 Carleton College Loss 7-15 1628.2 Feb 17th Warm Up A Florida Affair 2018
31 LSU Win 15-13 1913.74 Feb 18th Warm Up A Florida Affair 2018
41 Northeastern Win 15-13 1817.54 Feb 18th Warm Up A Florida Affair 2018
44 Illinois Win 13-7 2146.56 Mar 10th Mens Centex 2018
68 Baylor Win 13-7 2012.35 Mar 10th Mens Centex 2018
58 Kansas Win 13-7 2058.4 Mar 10th Mens Centex 2018
82 Oklahoma State Win 13-11 1636.03 Mar 10th Mens Centex 2018
4 Minnesota Loss 10-15 1616.31 Mar 11th Mens Centex 2018
31 LSU Win 15-10 2153.16 Mar 11th Mens Centex 2018
29 Texas Win 13-12 1836.1 Mar 11th Mens Centex 2018
1 North Carolina Loss 8-15 1780.53 Mar 31st Easterns 2018
33 Maryland Win 15-9 2199.76 Mar 31st Easterns 2018
36 Michigan Win 15-13 1852.48 Mar 31st Easterns 2018
13 Wisconsin Loss 13-14 1792.12 Mar 31st Easterns 2018
**Blowout Eligible

FAQ

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
  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
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)