#322 Luther (3-9)

avg: 248.06  •  sd: 85.8  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
78 Carleton College-CHOP Loss 7-13 791.41 Mar 16th Southerns 2024
250 Georgia Tech-B Loss 6-13 27.86 Mar 16th Southerns 2024
95 Wisconsin-Eau Claire** Loss 0-13 650.03 Ignored Mar 16th Southerns 2024
78 Carleton College-CHOP** Loss 3-15 748.94 Ignored Mar 17th Southerns 2024
189 East Carolina Loss 6-12 282.73 Mar 17th Southerns 2024
376 Wisconsin-Eau Claire-B Win 15-5 248.06 Mar 17th Southerns 2024
260 Illinois State Loss 7-13 1.09 Mar 30th Old Capitol Open 2024
359 Iowa State-B Win 11-6 516.61 Mar 30th Old Capitol Open 2024
145 Southern Illinois-Edwardsville** Loss 4-13 460.42 Ignored Mar 30th Old Capitol Open 2024
255 St John's (Minnesota) Loss 7-12 64.45 Mar 30th Old Capitol Open 2024
255 St John's (Minnesota) Loss 4-13 -15.04 Mar 31st Old Capitol Open 2024
317 Washington University-B Win 7-6 395.22 Mar 31st Old Capitol Open 2024
**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)