#150 Cornell (4-11)

avg: 1178.08  •  sd: 91.78  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
98 Kansas Loss 9-12 1017.82 Feb 8th Florida Warm Up 2019
72 Alabama-Huntsville Loss 7-11 1017.1 Feb 8th Florida Warm Up 2019
68 Cincinnati Win 13-10 1843.52 Feb 8th Florida Warm Up 2019
18 Michigan** Loss 0-13 1308.77 Ignored Feb 9th Florida Warm Up 2019
2 Brown Loss 7-13 1671.63 Feb 9th Florida Warm Up 2019
65 Florida Win 13-12 1660.75 Feb 9th Florida Warm Up 2019
127 Boston College Win 12-11 1399.72 Feb 9th Florida Warm Up 2019
98 Kansas Loss 6-15 763.18 Feb 10th Florida Warm Up 2019
73 Temple Loss 11-14 1167.53 Feb 10th Florida Warm Up 2019
47 Maryland Loss 9-13 1237.76 Mar 16th Oak Creek Invite 2019
157 Drexel Loss 10-13 801.27 Mar 16th Oak Creek Invite 2019
73 Temple Loss 7-11 1013.98 Mar 16th Oak Creek Invite 2019
197 George Mason Win 13-6 1601.39 Mar 16th Oak Creek Invite 2019
102 Georgetown Loss 10-15 897.58 Mar 17th Oak Creek Invite 2019
147 Delaware Loss 9-15 672.46 Mar 17th Oak Creek Invite 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)