#130 Boston University (5-10)

avg: 1020.93  •  sd: 110.46  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
145 Dartmouth Win 7-6 1031.1 Feb 24th Bring The Huckus 2024
52 Haverford/Bryn Mawr Loss 7-8 1444.87 Feb 24th Bring The Huckus 2024
94 Lehigh Loss 6-7 1150.7 Feb 24th Bring The Huckus 2024
193 SUNY-Geneseo Win 11-4 1138.01 Feb 24th Bring The Huckus 2024
108 West Chester Loss 6-9 760.91 Feb 25th Bring The Huckus 2024
94 Lehigh Win 7-4 1771.86 Feb 25th Bring The Huckus 2024
87 Bates Loss 6-8 1031.84 Mar 30th Northeast Classic 2024
52 Haverford/Bryn Mawr Loss 6-11 1023.17 Mar 30th Northeast Classic 2024
111 NYU Win 8-4 1705.93 Mar 30th Northeast Classic 2024
110 Rutgers Loss 4-8 600.31 Mar 31st Northeast Classic 2024
146 New Hampshire Loss 5-8 438.28 Mar 31st Northeast Classic 2024
95 McGill Win 8-7 1380.94 Mar 31st Northeast Classic 2024
122 Boston College Loss 7-12 555.25 Apr 20th Metro Boston D I Womens Conferences 2024
8 Tufts** Loss 3-15 1755.7 Ignored Apr 20th Metro Boston D I Womens Conferences 2024
78 Harvard Loss 7-12 844.39 Apr 20th Metro Boston D I Womens Conferences 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)