#24 Vermont (12-2)

avg: 1783.02  •  sd: 83.17  •  top 16/20: 28.7%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
178 North Carolina-B** Win 13-4 1525.83 Ignored Jan 25th Mid Atlantic Warmup 2020
244 Christopher Newport** Win 13-4 1267.08 Ignored Jan 25th Mid Atlantic Warmup 2020
207 Drexel** Win 13-1 1416.19 Ignored Jan 25th Mid Atlantic Warmup 2020
72 Lehigh Win 13-9 1791.02 Jan 25th Mid Atlantic Warmup 2020
34 James Madison Win 15-13 1868.92 Jan 26th Mid Atlantic Warmup 2020
79 Liberty Win 15-6 1921.22 Jan 26th Mid Atlantic Warmup 2020
171 Syracuse** Win 15-6 1557.14 Ignored Jan 26th Mid Atlantic Warmup 2020
83 Penn State Win 13-4 1909.42 Feb 29th Easterns Qualifier 2020
26 South Carolina Win 12-7 2265.44 Feb 29th Easterns Qualifier 2020
161 Georgia State** Win 13-3 1588.49 Ignored Feb 29th Easterns Qualifier 2020
55 Virginia Tech Loss 8-9 1341.95 Feb 29th Easterns Qualifier 2020
41 Alabama Loss 12-15 1299.51 Mar 1st Easterns Qualifier 2020
48 Temple Win 15-14 1627.96 Mar 1st Easterns Qualifier 2020
58 Virginia Win 15-6 2052.16 Mar 1st Easterns Qualifier 2020
**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)