#323 Rowan-B (8-9)

avg: 493.56  •  sd: 70.32  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
434 MIT-B** Win 10-4 -141.44 Ignored Mar 3rd Atlantic City 7 2018
172 Colby Loss 6-9 617.2 Mar 3rd Atlantic City 7 2018
415 Stockton Win 10-5 435.98 Mar 3rd Atlantic City 7 2018
389 Hofstra Win 11-7 627.84 Mar 4th Atlantic City 7 2018
178 Shippensburg Loss 2-13 419.86 Mar 4th Atlantic City 7 2018
369 Brown-B Win 11-10 435.15 Mar 4th Atlantic City 7 2018
302 Salisbury Loss 5-13 -25.47 Mar 4th Atlantic City 7 2018
179 SUNY-Binghamton Loss 3-12 418.07 Mar 24th Jersey Devil 7
302 Salisbury Loss 8-10 311.86 Mar 24th Jersey Devil 7
132 Columbia University** Loss 5-13 588.17 Mar 24th Jersey Devil 7
166 MIT Loss 3-13 466.51 Mar 25th Jersey Devil 7
361 Saint Joseph's University Win 9-5 869.79 Mar 25th Jersey Devil 7
390 SUNY-Binghamton-B Win 8-3 751.03 Mar 25th Jersey Devil 7
325 College of New Jersey Loss 7-10 98.31 Mar 25th Jersey Devil 7
345 Connecticut-B Win 13-4 992.1 Mar 31st Garden State 8
- Rensselaer Polytech-B Win 13-2 592.83 Mar 31st Garden State 8
- Bucknell Loss 6-13 292.83 Mar 31st Garden State 8
**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)