#262 Notre Dame-B (0-12)

avg: 112.35  •  sd: 216.74  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
245 George Mason University Loss 5-11 -105.83 Mar 10th Tally Classic XIII
23 Auburn** Loss 1-11 1608.85 Ignored Mar 10th Tally Classic XIII
32 Florida** Loss 1-11 1480.24 Ignored Mar 10th Tally Classic XIII
231 Tulane Loss 0-15 39.41 Mar 11th Tally Classic XIII
237 Georgia Tech-B Loss 4-12 -25.47 Mar 11th Tally Classic XIII
54 Florida State** Loss 4-15 1256.06 Ignored Mar 11th Tally Classic XIII
185 Cedarville University Loss 5-10 381.72 Mar 17th D III Midwestern Invite 2018
131 Air Force Academy** Loss 1-13 685.67 Ignored Mar 17th D III Midwestern Invite 2018
211 Wheaton (Illinois)** Loss 1-13 187.2 Ignored Mar 17th D III Midwestern Invite 2018
151 Grinnell College** Loss 6-15 580.11 Ignored Mar 18th D III Midwestern Invite 2018
203 Loyola-Chicago Loss 6-13 254.86 Mar 18th D III Midwestern Invite 2018
102 Ball State** Loss 1-13 904.81 Ignored Mar 18th D III Midwestern Invite 2018
**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)