#154 Syracuse (9-4)

avg: 1150.57  •  sd: 80.4  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
331 Kenyon Win 13-4 1159.98 Mar 23rd CWRUL Memorial 2019
231 Knox Win 11-9 1159.72 Mar 23rd CWRUL Memorial 2019
183 Oberlin Win 13-7 1599.49 Mar 23rd CWRUL Memorial 2019
347 Wright State Win 13-6 1091.16 Mar 23rd CWRUL Memorial 2019
53 Indiana Loss 9-13 1208.06 Mar 24th CWRUL Memorial 2019
148 Michigan-B Loss 7-15 581.95 Mar 24th CWRUL Memorial 2019
135 University of Pittsburgh-B Win 10-9 1368.04 Mar 24th CWRUL Memorial 2019
160 Vanderbilt Win 12-9 1469.74 Mar 24th CWRUL Memorial 2019
288 Massachusetts-Lowell Win 11-3 1312.56 Mar 30th Strong Island Invitational 2019
153 SUNY-Albany Loss 5-9 621.95 Mar 30th Strong Island Invitational 2019
397 SUNY-Albany-B** Win 13-2 840.49 Ignored Mar 30th Strong Island Invitational 2019
149 SUNY-Stony Brook Loss 7-8 1054.21 Mar 30th Strong Island Invitational 2019
325 Northeastern-C Win 11-6 1131 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)