#58 South Florida (7-5)

avg: 1128.93  •  sd: 116.59  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
16 Dartmouth Loss 5-9 1326.45 Jan 18th Florida Winter Classic 2020
28 Georgia Loss 4-13 968.17 Jan 18th Florida Winter Classic 2020
34 Florida State Loss 4-8 927.47 Jan 18th Florida Winter Classic 2020
62 North Georgia Win 6-4 1421.18 Jan 18th Florida Winter Classic 2020
51 North Carolina-Wilmington Win 11-10 1365.74 Jan 19th Florida Winter Classic 2020
34 Florida State Loss 5-15 892.28 Jan 19th Florida Winter Classic 2020
28 Georgia Loss 7-15 968.17 Jan 19th Florida Winter Classic 2020
125 Berry College** Win 11-0 614.58 Ignored Feb 15th 2nd Annual Royal Crown Classic
98 Tennessee-Chattanooga Win 11-3 1166.88 Feb 15th 2nd Annual Royal Crown Classic
62 North Georgia Win 8-7 1180.57 Feb 15th 2nd Annual Royal Crown Classic
128 Georgia Tech-B** Win 11-3 483.07 Ignored Feb 15th 2nd Annual Royal Crown Classic
136 FSU-B** Win 11-0 157.93 Ignored Feb 15th 2nd Annual Royal Crown Classic
**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)