#1 Dartmouth (11-1)

avg: 2897.25  •  sd: 113.45  •  top 16/20: 100%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
25 Notre Dame** Win 13-3 2739.71 Ignored Feb 3rd Queen City Tune Up 2018 College Women
48 Georgia** Win 13-5 2555.58 Ignored Feb 3rd Queen City Tune Up 2018 College Women
66 Virginia Win 13-6 2371.7 Feb 3rd Queen City Tune Up 2018 College Women
93 Cornell** Win 13-5 2140.61 Ignored Feb 3rd Queen City Tune Up 2018 College Women
13 Ohio State Loss 6-8 2104.43 Feb 4th Queen City Tune Up 2018 College Women
14 Whitman Win 15-2 2986.14 Mar 23rd NW Challenge 2018
21 Michigan** Win 15-6 2838.43 Ignored Mar 23rd NW Challenge 2018
5 Oregon Win 15-6 3210.52 Mar 24th NW Challenge 2018
6 British Columbia Win 15-7 3160.13 Mar 24th NW Challenge 2018
20 Washington** Win 15-6 2840.23 Ignored Mar 24th NW Challenge 2018
2 California-San Diego Win 15-11 3113.98 Mar 25th NW Challenge 2018
4 Stanford Win 14-13 2820.52 Mar 25th NW Challenge 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)