#163 SUNY-Binghamton (9-8)

avg: 782.43  •  sd: 76.5  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
27 Delaware** Loss 0-15 1214.9 Ignored Mar 9th Delaware The Main Event 2019
57 Cornell** Loss 1-15 860.62 Ignored Mar 9th Delaware The Main Event 2019
241 Cornell-B Win 13-5 828.44 Mar 9th Delaware The Main Event 2019
227 Delaware-B Win 7-5 684.63 Mar 10th Delaware The Main Event 2019
241 Cornell-B Win 7-5 556.59 Mar 10th Delaware The Main Event 2019
161 Drexel Loss 1-7 210.99 Mar 10th Delaware The Main Event 2019
92 Skidmore Loss 6-8 887.78 Mar 23rd Jersey Devil 8
60 Ottawa Win 6-5 1565.6 Mar 23rd Jersey Devil 8
106 Lehigh Win 5-4 1204.64 Mar 23rd Jersey Devil 8
134 Syracuse Loss 7-8 844.92 Mar 23rd Jersey Devil 8
256 College of New Jersey** Win 12-5 709.93 Ignored Mar 24th Jersey Devil 8
100 Wellesley Loss 6-10 630.19 Mar 24th Jersey Devil 8
134 Syracuse Loss 5-8 516.32 Mar 24th Jersey Devil 8
266 Messiah** Win 10-4 521.97 Ignored Mar 30th Garden State 9
269 Muhlenberg** Win 9-2 481.54 Ignored Mar 30th Garden State 9
235 Ithaca Win 11-0 867.06 Mar 30th Garden State 9
92 Skidmore Loss 4-12 588.27 Mar 31st Garden State 9
**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)