#165 John Brown (12-11)

avg: 1268.53  •  sd: 57.27  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
320 Washington University-B Win 13-6 1251.34 Feb 17th Dust Bowl 2024
145 Southern Illinois-Edwardsville Loss 3-11 731.75 Feb 17th Dust Bowl 2024
105 Wisconsin-Milwaukee Loss 6-11 938.18 Feb 17th Dust Bowl 2024
313 Kansas-B Win 15-9 1182.74 Feb 18th Dust Bowl 2024
228 Oklahoma State Win 15-10 1475.84 Feb 18th Dust Bowl 2024
161 Saint Louis Win 13-10 1611.61 Feb 18th Dust Bowl 2024
45 St Olaf Loss 9-12 1465.98 Mar 23rd Free State Classic
161 Saint Louis Win 9-7 1562.81 Mar 23rd Free State Classic
137 Kansas Loss 5-13 765.35 Mar 23rd Free State Classic
143 Truman State Loss 5-12 737.06 Mar 23rd Free State Classic
161 Saint Louis Win 10-9 1408.47 Mar 24th Free State Classic
137 Kansas Loss 8-11 999.74 Mar 24th Free State Classic
153 Missouri S&T Win 9-8 1430.15 Mar 24th Free State Classic
231 Harding Win 11-8 1380.92 Apr 13th Ozarks D III Mens Conferences 2024
143 Truman State Loss 8-11 971.45 Apr 13th Ozarks D III Mens Conferences 2024
153 Missouri S&T Win 11-9 1554.36 Apr 13th Ozarks D III Mens Conferences 2024
41 Oklahoma Christian Loss 1-13 1252.87 Apr 13th Ozarks D III Mens Conferences 2024
101 Colorado Mines Loss 7-10 1122.42 Apr 27th South Central D III College Mens Regionals 2024
231 Harding Win 13-6 1615.31 Apr 27th South Central D III College Mens Regionals 2024
143 Truman State Win 8-7 1462.06 Apr 27th South Central D III College Mens Regionals 2024
101 Colorado Mines Loss 10-12 1273.96 Apr 28th South Central D III College Mens Regionals 2024
281 Trinity Win 15-5 1427.06 Apr 28th South Central D III College Mens Regionals 2024
143 Truman State Loss 2-3 1212.06 Apr 28th South Central D III College Mens Regionals 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)