#340 Stetson (2-11)

avg: 410.63  •  sd: 69.02  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
216 North Florida Loss 7-13 340.07 Mar 10th Tally Classic XIII
370 Notre Dame-B Loss 12-13 172.36 Mar 10th Tally Classic XIII
309 Embry-Riddle (Florida) Loss 11-12 432.4 Mar 10th Tally Classic XIII
376 Tulane-B Win 15-5 878 Mar 10th Tally Classic XIII
383 Indiana-B Loss 8-10 -50.89 Mar 11th Tally Classic XIII
207 Florida-B Loss 10-15 467.15 Mar 11th Tally Classic XIII
303 Charleston Loss 10-11 446.48 Mar 17th College Southerns 2018
76 Chicago** Loss 3-13 815.31 Ignored Mar 17th College Southerns 2018
201 Wisconsin-Eau Claire Loss 7-13 375.1 Mar 17th College Southerns 2018
273 Wake Forest Loss 9-13 283.11 Mar 17th College Southerns 2018
303 Charleston Win 10-9 696.48 Mar 18th College Southerns 2018
125 Georgia College** Loss 5-13 615.81 Ignored Mar 18th College Southerns 2018
273 Wake Forest Loss 9-11 452.47 Mar 18th College Southerns 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)