#61 Florida (8-7)

avg: 1352.55  •  sd: 54.21  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
64 LSU Win 10-9 1466.78 Jan 18th TTown Throwdown 2020 Open
103 Vanderbilt Win 11-2 1693.1 Jan 18th TTown Throwdown 2020 Open
136 Mississippi State Win 11-9 1176.23 Jan 18th TTown Throwdown 2020 Open
107 Jacksonville State Win 13-4 1670.82 Jan 18th TTown Throwdown 2020 Open
25 Georgia Tech Loss 9-15 1143.53 Jan 19th TTown Throwdown 2020 Open
46 Alabama Loss 12-15 1185.8 Jan 19th TTown Throwdown 2020 Open
74 Cincinnati Loss 10-13 937.85 Feb 14th Florida Warm Up 2020 Weekend 1
42 Northwestern Loss 10-13 1201.24 Feb 14th Florida Warm Up 2020 Weekend 1
27 Wisconsin Loss 12-13 1493.88 Feb 14th Florida Warm Up 2020 Weekend 1
42 Northwestern Loss 11-14 1216.04 Feb 15th Florida Warm Up 2020 Weekend 1
81 Cornell Win 13-9 1646.31 Feb 15th Florida Warm Up 2020 Weekend 1
84 Texas A&M Win 13-11 1443.68 Feb 15th Florida Warm Up 2020 Weekend 1
79 Virginia Tech Win 11-10 1360.04 Feb 15th Florida Warm Up 2020 Weekend 1
81 Cornell Win 12-11 1352.74 Feb 16th Florida Warm Up 2020 Weekend 1
45 Texas-Dallas Loss 10-11 1365.36 Feb 16th Florida Warm Up 2020 Weekend 1
**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)