#122 Yale (15-4)

avg: 1279.52  •  sd: 65.1  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
118 MIT Win 13-10 1615.87 Mar 9th Atlantic City 9
77 Colby Loss 7-13 915.16 Mar 9th Atlantic City 9
335 College of New Jersey Win 13-6 1141.21 Mar 9th Atlantic City 9
252 SUNY-Cortland Win 13-6 1445.28 Mar 9th Atlantic City 9
118 MIT Loss 7-9 1008.4 Mar 10th Atlantic City 9
201 Brown-B Win 12-7 1503.35 Mar 10th Atlantic City 9
95 Bates College Loss 9-11 1120.56 Mar 10th Atlantic City 9
426 Sacred Heart** Win 13-4 607.92 Ignored Mar 24th The Mightiest Huck 2019
337 Southern Connecticut State Win 11-6 1080.83 Mar 24th The Mightiest Huck 2019
181 Massachusetts-C Win 10-9 1181 Mar 24th The Mightiest Huck 2019
211 University of Massachusetts Amherst-B Win 13-8 1448.18 Mar 24th The Mightiest Huck 2019
230 Stonehill Win 12-6 1491.26 Mar 24th The Mightiest Huck 2019
217 Amherst College Win 10-3 1526.58 Mar 30th Tea Cup 2019
127 Boston College Win 10-6 1770.88 Mar 30th Tea Cup 2019
225 SUNY-Oneonta Win 10-8 1179.21 Mar 30th Tea Cup 2019
262 Tufts-B Win 10-8 1082.46 Mar 30th Tea Cup 2019
217 Amherst College Win 13-8 1422.74 Mar 31st Tea Cup 2019
127 Boston College Loss 8-11 909.11 Mar 31st Tea Cup 2019
211 University of Massachusetts Amherst-B Win 11-9 1201.23 Mar 31st Tea Cup 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)