#286 Sam Houston (3-9)

avg: 789.48  •  sd: 110.65  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
69 Central Florida Loss 8-13 1142.38 Feb 24th Mardi Gras XXXVI college
38 Texas A&M** Loss 0-13 1285.46 Ignored Feb 24th Mardi Gras XXXVI college
410 Tulane-B** Win 13-3 379.14 Ignored Feb 24th Mardi Gras XXXVI college
281 Trinity Win 9-7 1106.39 Feb 24th Mardi Gras XXXVI college
133 Arizona State Loss 7-13 817.56 Feb 25th Mardi Gras XXXVI college
203 Spring Hill Win 12-11 1238.28 Feb 25th Mardi Gras XXXVI college
116 LSU Loss 5-11 831.09 Feb 25th Mardi Gras XXXVI college
207 Texas-B Loss 7-13 531.16 Apr 13th South Texas D I Mens Conferences 2024
10 Texas** Loss 1-13 1646.19 Ignored Apr 13th South Texas D I Mens Conferences 2024
197 Texas State Loss 7-12 609.46 Apr 13th South Texas D I Mens Conferences 2024
167 Texas-San Antonio Loss 9-15 745.63 Apr 14th South Texas D I Mens Conferences 2024
295 Texas A&M-B Loss 10-12 498.24 Apr 14th South Texas D I Mens Conferences 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)