#77 Missouri (13-7)

avg: 1368.96  •  sd: 66.99  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
124 Arkansas Win 10-8 1334.44 Feb 17th Dust Bowl 2024
96 Iowa State Win 8-6 1554 Feb 17th Dust Bowl 2024
143 John Brown Win 8-3 1519.46 Feb 17th Dust Bowl 2024
53 Texas Win 6-4 1926.9 Feb 17th Dust Bowl 2024
133 Truman State Win 15-5 1581.98 Feb 17th Dust Bowl 2024
42 Texas-Dallas Loss 7-12 1159.41 Feb 18th Dust Bowl 2024
35 St Olaf Loss 4-8 1213.68 Mar 2nd Midwest Throwdown 2024
70 Northwestern Loss 7-9 1139.94 Mar 2nd Midwest Throwdown 2024
231 Wisconsin-B** Win 10-2 740.11 Ignored Mar 2nd Midwest Throwdown 2024
96 Iowa State Loss 5-7 925.37 Mar 3rd Midwest Throwdown 2024
83 Kansas Win 7-4 1839.16 Mar 3rd Midwest Throwdown 2024
177 Missouri State Win 7-4 1179.13 Mar 3rd Midwest Throwdown 2024
124 Arkansas Win 9-6 1490.34 Apr 13th Ozarks D I Womens Conferences 2024
195 Washington University-B** Win 11-3 1111.38 Ignored Apr 13th Ozarks D I Womens Conferences 2024
34 Washington University Loss 5-10 1210.26 Apr 14th Ozarks D I Womens Conferences 2024
113 Saint Louis Win 9-6 1549.84 Apr 27th South Central D I College Womens Regionals 2024
197 Sam Houston** Win 13-1 1067.35 Ignored Apr 27th South Central D I College Womens Regionals 2024
206 Texas-B** Win 15-1 986.61 Ignored Apr 27th South Central D I College Womens Regionals 2024
42 Texas-Dallas Loss 5-7 1351.78 Apr 27th South Central D I College Womens Regionals 2024
34 Washington University Loss 4-15 1184.16 Apr 28th South Central D I College Womens 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)