#95 Arkansas (12-13)

avg: 1534.59  •  sd: 59.25  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
167 Texas-San Antonio Win 13-7 1818.64 Feb 24th Mardi Gras XXXVI college
89 Florida State Win 9-8 1676.28 Feb 24th Mardi Gras XXXVI college
43 Tulane Loss 3-12 1238.42 Feb 24th Mardi Gras XXXVI college
133 Arizona State Loss 7-11 908.2 Feb 25th Mardi Gras XXXVI college
116 LSU Win 10-9 1556.09 Feb 25th Mardi Gras XXXVI college
99 Tennessee-Chattanooga Loss 8-10 1256.27 Feb 25th Mardi Gras XXXVI college
38 Texas A&M Loss 3-13 1285.46 Feb 25th Mardi Gras XXXVI college
67 Stanford Loss 7-11 1204.67 Mar 30th Huck Finn 2024
53 Colorado State Loss 5-9 1226.99 Mar 30th Huck Finn 2024
118 Kentucky Loss 6-7 1290.92 Mar 30th Huck Finn 2024
107 Iowa State Win 10-9 1601.13 Mar 31st Huck Finn 2024
111 Vanderbilt Loss 7-10 1067.5 Mar 31st Huck Finn 2024
119 Colorado College Win 10-7 1797.82 Mar 31st Huck Finn 2024
20 Washington University Loss 8-12 1645 Apr 13th Ozarks D I Mens Conferences 2024
356 Wichita State** Win 15-3 1089.08 Ignored Apr 13th Ozarks D I Mens Conferences 2024
320 Washington University-B** Win 15-1 1251.34 Ignored Apr 13th Ozarks D I Mens Conferences 2024
233 Oklahoma Win 15-3 1605.7 Apr 13th Ozarks D I Mens Conferences 2024
51 Missouri Loss 10-15 1311.28 Apr 14th Ozarks D I Mens Conferences 2024
137 Kansas Win 15-8 1930.16 Apr 14th Ozarks D I Mens Conferences 2024
53 Colorado State Win 11-10 1881.05 Apr 27th South Central D I College Mens Regionals 2024
20 Washington University Loss 7-12 1565.65 Apr 27th South Central D I College Mens Regionals 2024
128 Houston Win 14-5 1988.32 Apr 27th South Central D I College Mens Regionals 2024
38 Texas A&M Loss 7-12 1364.95 Apr 27th South Central D I College Mens Regionals 2024
100 Colorado-B Win 12-11 1638.43 Apr 28th South Central D I College Mens Regionals 2024
20 Washington University Loss 10-13 1758.02 Apr 28th South Central D I 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)