#62 Central Florida (7-8)

avg: 1290.18  •  sd: 90.4  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
2 Georgia Loss 7-13 1574.24 Feb 2nd Florida Warm Up 2024
68 Cincinnati Loss 10-13 922.01 Feb 2nd Florida Warm Up 2024
10 Texas Loss 3-13 1283.14 Feb 2nd Florida Warm Up 2024
14 Minnesota Loss 3-13 1212.19 Feb 3rd Florida Warm Up 2024
13 Northeastern Loss 2-13 1240.04 Feb 3rd Florida Warm Up 2024
65 Virginia Tech Loss 13-15 1044.73 Feb 3rd Florida Warm Up 2024
150 South Florida Win 15-4 1323.28 Feb 4th Florida Warm Up 2024
245 Tulane-B** Win 13-1 288.2 Ignored Feb 24th Mardi Gras XXXVI college
152 Sam Houston Win 13-8 1201.81 Feb 24th Mardi Gras XXXVI college
193 Trinity** Win 13-0 990.39 Ignored Feb 24th Mardi Gras XXXVI college
45 Texas A&M Loss 9-13 1012.42 Feb 24th Mardi Gras XXXVI college
46 Florida Win 10-9 1554.85 Feb 25th Mardi Gras XXXVI college
74 Indiana Win 9-2 1811.97 Feb 25th Mardi Gras XXXVI college
36 Tulane Loss 9-12 1182.06 Feb 25th Mardi Gras XXXVI college
139 Spring Hill Win 13-4 1431.14 Feb 25th Mardi Gras XXXVI college
**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)