#276 Florida-B (7-5)

avg: 500.99  •  sd: 122.04  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
381 Ave Maria-B** Win 13-3 38.36 Ignored Feb 24th Florida Warm Up 2024 Weekend 2
384 Central Florida-B** Win 13-3 -417.64 Ignored Feb 24th Florida Warm Up 2024 Weekend 2
293 Florida Tech Win 12-6 968.63 Feb 24th Florida Warm Up 2024 Weekend 2
177 Miami (Florida) Loss 5-10 342.65 Feb 24th Florida Warm Up 2024 Weekend 2
226 Embry-Riddle Loss 9-10 605 Feb 25th Florida Warm Up 2024 Weekend 2
366 Florida State-B Win 13-6 523.4 Feb 25th Florida Warm Up 2024 Weekend 2
210 Charleston Win 9-8 901.87 Mar 16th Southerns 2024
245 Georgia College Loss 7-12 126.85 Mar 16th Southerns 2024
244 Georgia Southern Win 11-9 899.75 Mar 16th Southerns 2024
210 Charleston Loss 3-15 176.87 Mar 17th Southerns 2024
376 Wisconsin-Eau Claire-B** Win 15-5 248.06 Ignored Mar 17th Southerns 2024
244 Georgia Southern Loss 5-15 50.55 Mar 17th Southerns 2024
**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)