#161 Boston University (9-6)

avg: 1087.79  •  sd: 68.54  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
234 Haverford Win 13-6 1407.5 Feb 3rd Mid Atlantic Warmup 2018
51 Ohio State Loss 2-13 937.69 Feb 3rd Mid Atlantic Warmup 2018
102 Richmond Loss 6-13 726.88 Feb 3rd Mid Atlantic Warmup 2018
177 Virginia Commonwealth Win 11-9 1271.44 Feb 3rd Mid Atlantic Warmup 2018
193 Liberty Win 15-8 1531.3 Feb 4th Mid Atlantic Warmup 2018
109 Williams Loss 10-14 897.51 Feb 4th Mid Atlantic Warmup 2018
86 Duke Loss 7-9 1119.64 Feb 4th Mid Atlantic Warmup 2018
175 Army Win 11-10 1157.37 Feb 24th Bring the Huckus 9
218 Rensselaer Polytech Win 9-8 1003.7 Feb 24th Bring the Huckus 9
266 Swarthmore Win 13-5 1331.25 Feb 24th Bring the Huckus 9
198 Wesleyan Win 11-7 1415.41 Feb 24th Bring the Huckus 9
291 Bentley Win 13-4 1213.69 Mar 31st New England Open 2018
193 Liberty Loss 9-13 547.93 Mar 31st New England Open 2018
314 Wentworth Institute of Technology Win 13-6 1130.99 Mar 31st New England Open 2018
92 Bowdoin Loss 8-13 871.65 Mar 31st New England Open 2018
**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)