#76 Massachusetts -B (19-8)

avg: 1610.5  •  sd: 48.79  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
199 Connecticut College Win 10-9 1250.75 Feb 10th UMass Invite 2024
159 Rhode Island Win 10-8 1550.82 Feb 10th UMass Invite 2024
117 Rochester Win 12-7 1947.84 Feb 10th UMass Invite 2024
131 Yale Win 11-5 1979.37 Feb 10th UMass Invite 2024
142 Bryant Win 13-5 1940.78 Feb 11th UMass Invite 2024
108 Vermont-B Win 11-8 1840.64 Feb 11th UMass Invite 2024
55 Williams Loss 11-13 1520.73 Feb 11th UMass Invite 2024
225 Colby Win 15-3 1635.69 Mar 2nd Grand Northeast Kickoff
312 Western New England** Win 15-3 1273.67 Ignored Mar 2nd Grand Northeast Kickoff
218 Middlebury-B Win 11-1 1654.71 Mar 2nd Grand Northeast Kickoff
279 Amherst** Win 15-3 1435.51 Ignored Mar 3rd Grand Northeast Kickoff
138 Tufts-B Win 15-7 1963.74 Mar 3rd Grand Northeast Kickoff
138 Tufts-B Win 15-8 1928.54 Mar 3rd Grand Northeast Kickoff
226 American Win 15-4 1633.12 Mar 30th Atlantic Coast Open 2024
244 Dickinson** Win 15-5 1579.09 Ignored Mar 30th Atlantic Coast Open 2024
64 Maryland Loss 12-14 1456.93 Mar 30th Atlantic Coast Open 2024
56 Temple Win 12-10 1981.79 Mar 30th Atlantic Coast Open 2024
89 Florida State Win 15-13 1765.46 Mar 31st Atlantic Coast Open 2024
44 Virginia Tech Loss 9-15 1298.92 Mar 31st Atlantic Coast Open 2024
188 Brown-B Win 14-6 1763.41 Apr 13th Greater New England Dev Mens Conferences 2024
108 Vermont-B Loss 8-12 1033.88 Apr 13th Greater New England Dev Mens Conferences 2024
26 McGill Loss 3-13 1397.12 May 4th New England D I College Mens Regionals 2024
210 Northeastern-B Win 13-5 1680.66 May 4th New England D I College Mens Regionals 2024
138 Tufts-B Win 10-9 1488.74 May 4th New England D I College Mens Regionals 2024
18 Northeastern Loss 9-15 1592.57 May 4th New England D I College Mens Regionals 2024
75 Dartmouth Loss 11-14 1299.15 May 5th New England D I College Mens Regionals 2024
23 Tufts Loss 10-13 1695.91 May 5th New England D I College Mens 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)