#62 Central Florida (18-6)

avg: 1798.88  •  sd: 72.41  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
180 South Florida** Win 11-0 1600.57 Ignored Jan 13th Florida Winter Classic 2018
141 North Georgia Win 8-2 1842.65 Jan 13th Florida Winter Classic 2018
174 Florida-B** Win 12-0 1637.55 Ignored Jan 13th Florida Winter Classic 2018
48 Georgia Loss 5-9 1426.52 Jan 13th Florida Winter Classic 2018
54 Florida State Loss 8-9 1731.06 Jan 14th Florida Winter Classic 2018
89 Iowa Win 6-4 1936.09 Jan 14th Florida Winter Classic 2018
134 Tennessee Win 8-3 1876.04 Jan 14th Florida Winter Classic 2018
135 William & Mary Win 10-7 1663.42 Feb 24th Commonwealth Cup 2018
148 Virginia Tech Win 11-6 1736.28 Feb 24th Commonwealth Cup 2018
59 South Carolina Loss 3-13 1227.83 Feb 24th Commonwealth Cup 2018
7 Tufts** Loss 1-13 1908.79 Ignored Feb 25th Commonwealth Cup 2018
88 Georgetown Win 10-9 1703.62 Feb 25th Commonwealth Cup 2018
31 Penn State Loss 4-9 1486.19 Feb 25th Commonwealth Cup 2018
170 North Carolina-Asheville** Win 13-0 1652.04 Ignored Mar 3rd Cola Classic 2018
39 Clemson Loss 6-9 1600.58 Mar 3rd Cola Classic 2018
141 North Georgia Win 9-2 1842.65 Mar 3rd Cola Classic 2018
90 Georgia College Win 10-6 2058.53 Mar 3rd Cola Classic 2018
226 North Carolina-B** Win 12-4 1289.36 Ignored Mar 4th Cola Classic 2018
59 South Carolina Win 5-3 2246.4 Mar 4th Cola Classic 2018
124 Carleton College-Eclipse Win 12-4 1952.52 Mar 17th College Southerns 2018
271 Charleston** Win 13-0 600 Ignored Mar 17th College Southerns 2018
174 Florida-B** Win 13-0 1637.55 Ignored Mar 17th College Southerns 2018
108 Wisconsin-Eau Claire Win 13-3 2047.12 Mar 18th College Southerns 2018
54 Florida State Win 6-4 2221.67 Mar 18th College Southerns 2018
**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)