#67 Yale (8-5)

avg: 1383.49  •  sd: 85.35  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
161 Drexel Win 13-5 1410.99 Mar 9th Delaware The Main Event 2019
52 Columbia Win 13-12 1628.27 Mar 9th Delaware The Main Event 2019
121 Towson Win 12-1 1624.96 Mar 9th Delaware The Main Event 2019
227 Delaware-B** Win 13-0 956.49 Ignored Mar 9th Delaware The Main Event 2019
131 Rutgers Loss 9-10 865.5 Mar 10th Delaware The Main Event 2019
52 Columbia Loss 10-12 1265.15 Mar 10th Delaware The Main Event 2019
121 Towson Win 13-6 1624.96 Mar 10th Delaware The Main Event 2019
133 Haverford Win 15-4 1578.63 Mar 30th West Chester Ram Jam 2019
56 Pennsylvania Loss 5-8 1033.76 Mar 30th West Chester Ram Jam 2019
41 Harvard Loss 6-9 1149.09 Mar 30th West Chester Ram Jam 2019
227 Delaware-B** Win 15-2 956.49 Ignored Mar 30th West Chester Ram Jam 2019
52 Columbia Loss 6-8 1202.78 Mar 31st West Chester Ram Jam 2019
76 Rensselaer Polytech Win 10-6 1782.03 Mar 31st West Chester Ram Jam 2019
**Blowout Eligible

FAQ

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
  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
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)