#149 Luther (7-6)

avg: 869.27  •  sd: 79.47  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
46 Middlebury** Loss 2-13 938.47 Ignored Mar 23rd College Southerns XVIII
49 Emory** Loss 4-13 918.42 Ignored Mar 23rd College Southerns XVIII
254 Georgia Tech-B** Win 13-2 715.46 Ignored Mar 23rd College Southerns XVIII
128 North Georgia Loss 2-15 405.34 Mar 24th College Southerns XVIII
204 Georgia Southern Win 14-4 1106.6 Mar 24th College Southerns XVIII
225 Florida-B Win 13-11 591.09 Mar 24th College Southerns XVIII
172 Northern Iowa Loss 12-13 599.75 Mar 30th Old Capitol Open 2019
89 Iowa State Win 11-10 1348.1 Mar 30th Old Capitol Open 2019
111 Michigan State Loss 7-8 933.24 Mar 30th Old Capitol Open 2019
177 Wisconsin-La Crosse Win 9-8 794 Mar 30th Old Capitol Open 2019
162 Nebraska Loss 8-10 534.08 Mar 31st Old Capitol Open 2019
193 Drake Win 11-6 1119.99 Mar 31st Old Capitol Open 2019
175 Kansas Win 9-2 1317.25 Mar 31st Old Capitol Open 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)