#207 Drexel (4-9)

avg: 816.19  •  sd: 75.68  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
34 James Madison Loss 9-13 1236.17 Jan 25th Mid Atlantic Warmup 2020
118 Navy Loss 11-13 905.49 Jan 25th Mid Atlantic Warmup 2020
171 Syracuse Loss 11-13 728.3 Jan 25th Mid Atlantic Warmup 2020
24 Vermont** Loss 1-13 1183.02 Ignored Jan 25th Mid Atlantic Warmup 2020
178 North Carolina-B Win 14-13 1050.83 Jan 26th Mid Atlantic Warmup 2020
195 George Mason Win 15-10 1295.02 Jan 26th Mid Atlantic Warmup 2020
177 Mary Washington Loss 13-14 801.51 Jan 26th Mid Atlantic Warmup 2020
201 American Loss 8-9 705.17 Feb 22nd Oak Creek Challenge 2020
263 NYU Win 12-9 893.79 Feb 22nd Oak Creek Challenge 2020
113 Pennsylvania Loss 10-13 841.1 Feb 22nd Oak Creek Challenge 2020
278 Salisbury Win 13-11 689.46 Feb 22nd Oak Creek Challenge 2020
177 Mary Washington Loss 7-15 326.51 Feb 23rd Oak Creek Challenge 2020
247 Towson Loss 10-11 530.11 Feb 23rd Oak Creek Challenge 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)