#274 DePaul (5-8)

avg: 612.69  •  sd: 76.34  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
148 Minnesota-Duluth Loss 8-12 719.86 Mar 4th Midwest Throwdown 2023
65 Indiana Loss 7-13 1008.31 Mar 4th Midwest Throwdown 2023
366 Wisconsin-Oshkosh** Win 11-1 -15.56 Ignored Mar 4th Midwest Throwdown 2023
189 Luther Loss 4-12 395.04 Mar 5th Midwest Throwdown 2023
365 Grinnell-B** Win 13-4 109.44 Ignored Mar 5th Midwest Throwdown 2023
296 Wisconsin-B Win 7-6 626.83 Mar 5th Midwest Throwdown 2023
163 Boston University Loss 2-10 501.13 Apr 1st Huck Finn1
151 Arizona State Loss 0-8 546.59 Apr 1st Huck Finn1
351 Central Michigan Win 13-0 628.27 Apr 1st Huck Finn1
94 Saint Louis Loss 2-5 824.8 Apr 1st Huck Finn1
351 Central Michigan Win 8-4 593.08 Apr 2nd Huck Finn1
115 Michigan State** Loss 6-14 710.66 Ignored Apr 2nd Huck Finn1
207 Illinois State Loss 7-12 390.35 Apr 2nd Huck Finn1
**Blowout Eligible

FAQ

What is the uncertainty of the mean?
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
What's the algorithm again?
  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
Is there a longer explanation of all this?
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)