#112 Boston College (11-5)

avg: 1455.9  •  sd: 61.12  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
80 Bates Loss 6-9 1172.4 Mar 23rd Ocean State Invite
189 Worcester Polytechnic Institute Win 11-5 1759.5 Mar 23rd Ocean State Invite
210 Northeastern-B Win 9-0 1680.66 Mar 23rd Ocean State Invite
159 Rhode Island Win 8-7 1413.15 Mar 23rd Ocean State Invite
80 Bates Loss 9-11 1341.75 Mar 24th Ocean State Invite
317 Northeastern-C** Win 10-3 1255.82 Ignored Mar 24th Ocean State Invite
159 Rhode Island Win 7-6 1413.15 Mar 24th Ocean State Invite
297 Massachusetts-Lowell Win 12-6 1308.81 Mar 30th Mill Town Throw Down
201 MIT Win 14-8 1652.74 Apr 13th Metro Boston D I Mens Conferences 2024
23 Tufts Loss 8-15 1459.25 Apr 13th Metro Boston D I Mens Conferences 2024
297 Massachusetts-Lowell Win 15-8 1294.31 Apr 13th Metro Boston D I Mens Conferences 2024
141 Boston University Win 13-12 1467.31 Apr 14th Metro Boston D I Mens Conferences 2024
152 Harvard Win 14-7 1894.13 Apr 14th Metro Boston D I Mens Conferences 2024
23 Tufts Loss 9-13 1605.49 May 4th New England D I College Mens Regionals 2024
201 MIT Loss 8-10 854.04 May 4th New England D I College Mens Regionals 2024
141 Boston University Win 13-11 1571.15 May 4th 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)