#126 Massachusetts (8-13)

avg: 1042.94  •  sd: 100.82  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
71 Columbia Win 9-8 1532.82 Feb 24th Commonwealth Cup Weekend 2 2024
62 Duke Win 13-12 1609.05 Feb 24th Commonwealth Cup Weekend 2 2024
121 Temple Win 15-5 1678.5 Feb 24th Commonwealth Cup Weekend 2 2024
8 Tufts** Loss 0-13 1755.7 Ignored Feb 25th Commonwealth Cup Weekend 2 2024
44 Yale Loss 4-9 1046.48 Feb 25th Commonwealth Cup Weekend 2 2024
56 North Carolina State Loss 3-11 943.77 Feb 25th Commonwealth Cup Weekend 2 2024
230 Clark** Win 9-3 755.08 Ignored Mar 23rd New England Open 2024
78 Harvard Loss 6-9 946.33 Mar 23rd New England Open 2024
68 Vermont-B Loss 3-13 837.43 Mar 23rd New England Open 2024
101 Rhode Island Win 10-5 1787.59 Mar 23rd New England Open 2024
78 Harvard Loss 3-8 764.9 Mar 24th New England Open 2024
68 Vermont-B Loss 5-11 837.43 Mar 24th New England Open 2024
92 Middlebury Win 9-6 1723.52 Mar 24th New England Open 2024
27 Brown** Loss 4-12 1269.14 Ignored Apr 13th Greater New England D I Womens Conferences 2024
146 New Hampshire Win 8-7 1016.89 Apr 13th Greater New England D I Womens Conferences 2024
101 Rhode Island Loss 4-8 648.89 Apr 13th Greater New England D I Womens Conferences 2024
146 New Hampshire Loss 4-10 291.89 Apr 13th Greater New England D I Womens Conferences 2024
122 Boston College Loss 8-10 813.09 May 4th New England D I College Womens Regionals 2024
2 Vermont** Loss 3-15 2077.17 Ignored May 4th New England D I College Womens Regionals 2024
101 Rhode Island Loss 6-12 634.38 May 4th New England D I College Womens Regionals 2024
181 Vermont-C Win 13-3 1210.94 May 5th New England D I College Womens Regionals 2024
**Blowout Eligible

FAQ

What is the uncertainty of the mean?
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
What's the algorithm again?
  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
Is there a longer explanation of all this?
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)