#56 Florida (10-7)

avg: 1549.25  •  sd: 136.08  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
137 Case Western Reserve Win 9-6 1318 Feb 10th Queen City Tune Up 2024
20 Northeastern Loss 3-14 1501.67 Feb 10th Queen City Tune Up 2024
34 Minnesota Loss 10-13 1490.65 Feb 10th Queen City Tune Up 2024
7 Tufts** Loss 3-15 1920.18 Ignored Feb 10th Queen City Tune Up 2024
17 Pennsylvania Loss 5-13 1524.71 Feb 11th Queen City Tune Up 2024
33 Central Florida Loss 5-9 1290.52 Mar 2nd Florida Spring Showcase
211 LSU** Win 11-0 681.9 Ignored Mar 2nd Florida Spring Showcase
220 Florida Tech** Win 11-0 406.67 Ignored Mar 2nd Florida Spring Showcase
221 Florida-B** Win 6-0 347.04 Ignored Mar 2nd Florida Spring Showcase
183 Alabama** Win 11-2 1026.38 Ignored Mar 3rd Florida Spring Showcase
33 Central Florida Win 3-0 2419.58 Mar 3rd Florida Spring Showcase
173 Georgia College** Win 11-2 1134.42 Ignored Mar 3rd Florida Spring Showcase
156 Clemson** Win 12-5 1322.32 Ignored Mar 16th Tally Classic XVIII
184 Jacksonville State** Win 13-1 1022.56 Ignored Mar 16th Tally Classic XVIII
22 Notre Dame Loss 5-9 1526.11 Mar 16th Tally Classic XVIII
49 Georgia Tech Win 12-11 1757.2 Mar 17th Tally Classic XVIII
22 Notre Dame Loss 4-14 1455.17 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)