#122 Boston College (9-12)

avg: 1075.76  •  sd: 65.86  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
32 Central Florida** Loss 3-13 1217.19 Ignored Feb 24th Mardi Gras XXXVI college
107 Florida State Loss 5-6 1057.08 Feb 24th Mardi Gras XXXVI college
170 Jacksonville State Win 6-2 1361.77 Feb 24th Mardi Gras XXXVI college
155 Tulane Win 9-5 1377.61 Feb 24th Mardi Gras XXXVI college
221 LSU** Win 13-0 856.64 Ignored Feb 25th Mardi Gras XXXVI college
66 Trinity Loss 8-10 1193.45 Feb 25th Mardi Gras XXXVI college
94 Lehigh Loss 5-8 822.09 Mar 24th King of New York 2024
94 Lehigh Loss 6-10 779.54 Mar 24th King of New York 2024
236 SUNY-Cortland** Win 8-0 627.37 Ignored Mar 24th King of New York 2024
142 Ithaca Win 8-7 1045.19 Mar 24th King of New York 2024
193 SUNY-Geneseo Win 9-5 1067.07 Mar 24th King of New York 2024
94 Lehigh Loss 5-8 822.09 Mar 24th King of New York 2024
8 Tufts** Loss 2-15 1755.7 Ignored Apr 20th Metro Boston D I Womens Conferences 2024
130 Boston University Win 12-7 1541.44 Apr 20th Metro Boston D I Womens Conferences 2024
90 MIT Loss 5-15 706.4 Apr 20th Metro Boston D I Womens Conferences 2024
78 Harvard Loss 9-10 1239.9 Apr 20th Metro Boston D I Womens Conferences 2024
27 Brown** Loss 3-15 1269.14 Ignored May 4th New England D I College Womens Regionals 2024
68 Vermont-B Loss 4-11 837.43 May 4th New England D I College Womens Regionals 2024
90 MIT Loss 3-13 706.4 May 4th New England D I College Womens Regionals 2024
126 Massachusetts Win 10-8 1305.61 May 4th New England D I College Womens Regionals 2024
146 New Hampshire Win 12-7 1412.4 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)