#108 Vermont-B (18-6)

avg: 1475.03  •  sd: 54.4  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
142 Bryant Win 8-5 1794.38 Feb 10th UMass Invite 2024
272 Rowan** Win 13-5 1456.78 Ignored Feb 10th UMass Invite 2024
136 Wesleyan Win 10-7 1758.58 Feb 10th UMass Invite 2024
55 Williams Loss 8-9 1624.57 Feb 10th UMass Invite 2024
199 Connecticut College Win 15-4 1725.75 Feb 11th UMass Invite 2024
76 Massachusetts -B Loss 8-11 1244.89 Feb 11th UMass Invite 2024
117 Rochester Win 10-7 1817 Feb 11th UMass Invite 2024
139 Army Win 12-11 1473.35 Feb 24th Bring The Huckus 2024
225 Colby Win 13-3 1635.69 Feb 24th Bring The Huckus 2024
234 Haverford Win 13-1 1599.52 Feb 24th Bring The Huckus 2024
267 SUNY-Geneseo** Win 13-4 1471.49 Ignored Feb 24th Bring The Huckus 2024
225 Colby Win 15-8 1600.5 Feb 25th Bring The Huckus 2024
234 Haverford Win 13-7 1557.06 Feb 25th Bring The Huckus 2024
310 Stevens Tech Win 15-7 1278.83 Feb 25th Bring The Huckus 2024
181 SUNY-Cortland Win 9-7 1472.55 Mar 30th Northeast Classic 2024
136 Wesleyan Win 9-8 1493.91 Mar 30th Northeast Classic 2024
187 College of New Jersey Loss 9-11 914.22 Mar 31st Northeast Classic 2024
245 Skidmore Win 10-8 1240.74 Mar 31st Northeast Classic 2024
181 SUNY-Cortland Loss 10-11 1068.21 Mar 31st Northeast Classic 2024
188 Brown-B Win 12-4 1763.41 Apr 13th Greater New England Dev Mens Conferences 2024
76 Massachusetts -B Win 12-8 2051.66 Apr 13th Greater New England Dev Mens Conferences 2024
152 Harvard Loss 12-13 1186.24 May 4th New England D I College Mens Regionals 2024
210 Northeastern-B Win 15-9 1596.14 May 4th New England D I College Mens Regionals 2024
138 Tufts-B Loss 11-13 1134.9 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)