#71 Central Florida (7-6)

avg: 1557.32  •  sd: 89.43  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
184 Georgia Southern** Win 12-2 1290.69 Ignored Jan 25th Florida Winter Classic 2025
229 Georgia Tech-B** Win 12-1 867.41 Ignored Jan 25th Florida Winter Classic 2025
67 Florida Loss 5-11 1002.63 Jan 25th Florida Winter Classic 2025
168 Miami (Florida)** Win 12-0 1410.09 Ignored Jan 26th Florida Winter Classic 2025
29 Georgia Tech Loss 6-10 1562.56 Jan 26th Florida Winter Classic 2025
163 Florida State** Win 11-1 1447.3 Ignored Jan 26th Florida Winter Classic 2025
76 Columbia Loss 7-8 1382.91 Feb 22nd 2025 Commonwealth Cup Weekend 2
56 Maryland Win 9-8 1823.67 Feb 22nd 2025 Commonwealth Cup Weekend 2
34 Ohio Loss 4-11 1358.56 Feb 22nd 2025 Commonwealth Cup Weekend 2
38 Duke Loss 6-10 1394.64 Feb 23rd 2025 Commonwealth Cup Weekend 2
131 Harvard Win 15-1 1676.14 Mar 15th Tally Classic XIX
50 Middlebury Win 9-7 2081.93 Mar 15th Tally Classic XIX
67 Florida Loss 6-7 1477.63 Mar 15th Tally Classic XIX
**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)