#192 Harding (7-10)

avg: 851.11  •  sd: 74.56  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
64 Georgia State Loss 6-13 811.82 Jan 20th Starkville Qualifiers
222 Mississippi State -B Loss 9-11 487.12 Jan 20th Starkville Qualifiers
333 LSU-B** Win 15-4 751.44 Ignored Jan 20th Starkville Qualifiers
64 Georgia State Loss 7-15 811.82 Jan 21st Starkville Qualifiers
250 Georgia Tech-B Win 9-6 1046.42 Jan 21st Starkville Qualifiers
223 Mississippi State-C Win 12-10 971.54 Jan 21st Starkville Qualifiers
57 Auburn Loss 5-10 873.3 Feb 10th Golden Triangle Invitational
40 Illinois Loss 5-11 979.68 Feb 10th Golden Triangle Invitational
117 Vanderbilt Win 11-9 1429.18 Feb 10th Golden Triangle Invitational
158 Kennesaw State Loss 11-13 781.88 Feb 10th Golden Triangle Invitational
105 Mississippi State Loss 0-8 610.79 Feb 11th Golden Triangle Invitational
176 Saint Louis Win 10-4 1526.24 Feb 17th Dust Bowl 2024
161 Truman State Loss 4-13 392.69 Feb 17th Dust Bowl 2024
314 Kansas-B Win 11-4 882.94 Feb 17th Dust Bowl 2024
108 Wisconsin-Milwaukee Loss 7-15 599.7 Feb 18th Dust Bowl 2024
209 Oklahoma Win 15-12 1084.49 Feb 18th Dust Bowl 2024
161 Truman State Loss 6-15 392.69 Feb 18th Dust Bowl 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)