#241 Harding (5-7)

avg: 787.38  •  sd: 94.93  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
88 Alabama-Huntsville** Loss 4-13 788.31 Ignored Jan 20th T Town Throwdown XIV Open
120 Mississippi State Loss 6-13 661.29 Jan 20th T Town Throwdown XIV Open
264 LSU-B Loss 9-11 485.59 Jan 20th T Town Throwdown XIV Open
431 Alabama-B** Win 15-5 109.63 Ignored Jan 21st T Town Throwdown XIV Open
231 Alabama-Birmingham Loss 9-15 305.6 Jan 21st T Town Throwdown XIV Open
154 Mississippi Loss 11-13 885.72 Jan 21st T Town Throwdown XIV Open
212 Baylor University-B Win 13-8 1402.45 Mar 24th Greatest Crusade IV
344 Dallas Win 11-5 993.39 Mar 24th Greatest Crusade IV
338 Abilene Christian University Win 13-12 536.46 Mar 24th Greatest Crusade IV
297 Trinity University Win 15-14 718.55 Mar 25th Greatest Crusade IV
217 Texas Christian Loss 9-10 763.31 Mar 25th Greatest Crusade IV
199 Stephen F Austin Loss 11-12 809.47 Mar 25th Greatest Crusade IV
**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)