#161 Saint Louis (16-12)

avg: 1283.47  •  sd: 61.39  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
231 Harding Loss 4-10 415.31 Feb 17th Dust Bowl 2024
313 Kansas-B Win 10-8 929.93 Feb 17th Dust Bowl 2024
143 Truman State Win 9-6 1755.63 Feb 17th Dust Bowl 2024
165 John Brown Loss 10-13 940.39 Feb 18th Dust Bowl 2024
243 Nebraska Win 12-11 1108.44 Feb 18th Dust Bowl 2024
320 Washington University-B Win 13-7 1208.87 Feb 18th Dust Bowl 2024
106 Northwestern Loss 9-10 1357.91 Mar 2nd Midwest Throwdown 2024
134 Macalester Loss 5-9 843.06 Mar 2nd Midwest Throwdown 2024
257 Wisconsin-B Win 12-4 1517.85 Mar 2nd Midwest Throwdown 2024
353 Carleton College-Karls-C** Win 11-1 1094.35 Ignored Mar 3rd Midwest Throwdown 2024
193 Grinnell Win 9-6 1573.2 Mar 3rd Midwest Throwdown 2024
63 Iowa Loss 7-10 1297.03 Mar 3rd Midwest Throwdown 2024
227 St John's (Minnesota) Win 9-6 1448.38 Mar 3rd Midwest Throwdown 2024
165 John Brown Loss 7-9 989.19 Mar 23rd Free State Classic
137 Kansas Loss 8-10 1102.68 Mar 23rd Free State Classic
143 Truman State Win 11-7 1803.95 Mar 23rd Free State Classic
45 St Olaf Loss 8-11 1445.73 Mar 23rd Free State Classic
165 John Brown Loss 9-10 1143.53 Mar 24th Free State Classic
228 Oklahoma State Win 12-11 1147.23 Mar 24th Free State Classic
143 Truman State Win 11-8 1702.67 Mar 24th Free State Classic
137 Kansas Loss 7-9 1086.01 Apr 13th Ozarks D I Mens Conferences 2024
348 Kansas State Win 11-5 1125.33 Apr 13th Ozarks D I Mens Conferences 2024
296 Missouri State Win 13-8 1226.01 Apr 13th Ozarks D I Mens Conferences 2024
228 Oklahoma State Win 14-6 1622.23 Apr 13th Ozarks D I Mens Conferences 2024
233 Oklahoma Win 12-8 1446.85 Apr 14th Ozarks D I Mens Conferences 2024
1 Colorado** Loss 3-14 1899.73 Ignored Apr 27th South Central D I College Mens Regionals 2024
53 Colorado State Loss 7-15 1156.05 Apr 27th South Central D I College Mens Regionals 2024
156 Denver Win 12-10 1534.34 Apr 27th South Central D I College Mens Regionals 2024
**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)