#65 Massachusetts (7-7)

avg: 1396.29  •  sd: 67.07  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
5 Carleton College-Syzygy** Loss 3-13 1665.5 Ignored Feb 9th Queen City Tune Up 2019 Women
26 Georgia Loss 4-10 1248.3 Feb 9th Queen City Tune Up 2019 Women
40 Michigan Win 6-5 1694.43 Feb 9th Queen City Tune Up 2019 Women
28 North Carolina State Loss 6-9 1355.09 Feb 9th Queen City Tune Up 2019 Women
25 Clemson Loss 6-15 1272.28 Feb 10th Queen City Tune Up 2019 Women
91 Case Western Reserve Win 15-11 1583.83 Feb 10th Queen City Tune Up 2019 Women
28 North Carolina State Loss 6-11 1226.96 Feb 10th Queen City Tune Up 2019 Women
241 Cornell-B** Win 15-1 828.44 Ignored Mar 9th Delaware The Main Event 2019
131 Rutgers Win 15-8 1555.31 Mar 9th Delaware The Main Event 2019
70 Maryland Win 12-11 1453.26 Mar 9th Delaware The Main Event 2019
52 Columbia Loss 7-11 1036.38 Mar 10th Delaware The Main Event 2019
57 Cornell Loss 12-15 1160.13 Mar 10th Delaware The Main Event 2019
121 Towson Win 14-6 1624.96 Mar 10th Delaware The Main Event 2019
70 Maryland Win 12-10 1566.38 Mar 10th Delaware The Main Event 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)