#125 SUNY-Binghamton (7-5)

avg: 1123.97  •  sd: 79.15  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
79 Liberty Loss 11-13 1092.38 Jan 25th Mid Atlantic Warmup 2020
188 Williams Win 13-8 1379.51 Jan 25th Mid Atlantic Warmup 2020
123 Virginia Commonwealth University Loss 10-11 1003.39 Jan 25th Mid Atlantic Warmup 2020
171 Syracuse Win 13-10 1285.28 Jan 25th Mid Atlantic Warmup 2020
201 American Win 11-2 1430.17 Jan 26th Mid Atlantic Warmup 2020
178 North Carolina-B Win 15-8 1490.64 Jan 26th Mid Atlantic Warmup 2020
195 George Mason Loss 11-13 612.57 Jan 26th Mid Atlantic Warmup 2020
127 Brandeis Loss 8-9 996.85 Feb 22nd Oak Creek Challenge 2020
103 Princeton Loss 11-12 1080.44 Feb 22nd Oak Creek Challenge 2020
375 Regent University** Win 13-0 600 Ignored Feb 22nd Oak Creek Challenge 2020
177 Mary Washington Win 13-12 1051.51 Feb 23rd Oak Creek Challenge 2020
247 Towson Win 15-11 1036.28 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)