#149 SUNY-Stony Brook (11-3)

avg: 1179.21  •  sd: 80.31  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
129 Marist Loss 9-11 1022.59 Mar 9th No Sleep Till Brooklyn
389 Cornell-B** Win 11-2 874.9 Ignored Mar 9th No Sleep Till Brooklyn
187 NYU Win 9-7 1309.94 Mar 9th No Sleep Till Brooklyn
151 SUNY-Binghamton Loss 7-10 772.48 Mar 9th No Sleep Till Brooklyn
262 Tufts-B Win 11-2 1419.8 Mar 9th No Sleep Till Brooklyn
242 Rowan Win 8-5 1340.06 Mar 10th No Sleep Till Brooklyn
290 Hofstra Win 11-5 1308.47 Mar 10th No Sleep Till Brooklyn
213 Columbia Loss 2-8 348.26 Mar 10th No Sleep Till Brooklyn
288 Massachusetts-Lowell Win 11-5 1312.56 Mar 30th Strong Island Invitational 2019
290 Hofstra Win 11-6 1255.17 Mar 30th Strong Island Invitational 2019
153 SUNY-Albany Win 9-8 1276.01 Mar 30th Strong Island Invitational 2019
154 Syracuse Win 8-7 1275.57 Mar 30th Strong Island Invitational 2019
290 Hofstra Win 13-1 1308.47 Mar 31st Strong Island Invitational 2019
397 SUNY-Albany-B** Win 13-1 840.49 Ignored Mar 31st Strong Island Invitational 2019
**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)