#25 McGill (11-2)

avg: 1774.26  •  sd: 67  •  top 16/20: 15.9%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
91 Indiana Win 15-9 1786.29 Feb 10th Queen City Tune Up 2024
28 North Carolina-Wilmington Win 14-12 1955.46 Feb 10th Queen City Tune Up 2024
1 North Carolina Loss 9-13 1870 Feb 10th Queen City Tune Up 2024
66 Virginia Win 11-7 1861.06 Feb 10th Queen City Tune Up 2024
92 Tennessee Win 15-7 1867.11 Feb 11th Queen City Tune Up 2024
13 North Carolina State Loss 8-10 1683.93 Feb 11th Queen City Tune Up 2024
96 Connecticut Win 13-9 1667.97 Mar 30th East Coast Invite 2024
278 SUNY-Stony Brook** Win 13-3 1097.13 Ignored Mar 30th East Coast Invite 2024
113 Syracuse Win 13-4 1788.84 Mar 30th East Coast Invite 2024
150 Navy** Win 13-4 1634.29 Ignored Mar 30th East Coast Invite 2024
70 Case Western Reserve Win 13-6 1966.71 Mar 31st East Coast Invite 2024
101 Cornell Win 13-4 1824.57 Mar 31st East Coast Invite 2024
98 Dartmouth Win 13-12 1370.64 Mar 31st East Coast Invite 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)