#226 Embry-Riddle (6-7)

avg: 730  •  sd: 54.83  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
75 Ave Maria Loss 7-13 802.05 Feb 24th Florida Warm Up 2024 Weekend 2
366 Florida State-B** Win 13-5 523.4 Ignored Feb 24th Florida Warm Up 2024 Weekend 2
177 Miami (Florida) Loss 8-12 475.39 Feb 24th Florida Warm Up 2024 Weekend 2
311 Florida Gulf Coast Win 10-6 785.86 Feb 24th Florida Warm Up 2024 Weekend 2
293 Florida Tech Win 12-8 830.47 Feb 25th Florida Warm Up 2024 Weekend 2
276 Florida-B Win 10-9 625.99 Feb 25th Florida Warm Up 2024 Weekend 2
257 Air Force Win 13-12 696.36 Mar 2nd FCS D III Tune Up 2024
231 Christopher Newport Loss 12-13 587.61 Mar 2nd FCS D III Tune Up 2024
125 Davidson Loss 9-13 728 Mar 2nd FCS D III Tune Up 2024
118 Michigan Tech Loss 10-13 845.48 Mar 2nd FCS D III Tune Up 2024
174 North Carolina-Asheville Loss 8-13 440.31 Mar 3rd FCS D III Tune Up 2024
179 Missouri S&T Win 13-10 1232.24 Mar 3rd FCS D III Tune Up 2024
199 Messiah Loss 12-13 707.24 Mar 3rd FCS D III Tune Up 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)