#248 Ohio State-B (3-10)

avg: -652.53  •  sd: 239.41  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
134 Catholic** Loss 4-12 229.99 Ignored Feb 15th Commonwealth Cup 2020 Weekend 1
101 Connecticut** Loss 1-13 458.76 Ignored Feb 15th Commonwealth Cup 2020 Weekend 1
172 Wake Forest** Loss 2-13 -78.37 Ignored Feb 15th Commonwealth Cup 2020 Weekend 1
236 Franciscan Loss 6-11 -793.47 Feb 16th Commonwealth Cup 2020 Weekend 1
219 Michigan-B Loss 6-12 -515.56 Feb 16th Commonwealth Cup 2020 Weekend 1
217 Virginia-B** Loss 4-12 -520.31 Ignored Feb 16th Commonwealth Cup 2020 Weekend 1
138 Dayton** Loss 2-11 210.66 Ignored Feb 29th 3rd Annual 7th Annual Bens Bar Mitzvah
24 Ohio** Loss 1-11 1183.41 Ignored Feb 29th 3rd Annual 7th Annual Bens Bar Mitzvah
253 Xavier Win 8-5 -541.31 Feb 29th 3rd Annual 7th Annual Bens Bar Mitzvah
255 Ohio Wesleyan Win 6-4 -973.28 Feb 29th 3rd Annual 7th Annual Bens Bar Mitzvah
138 Dayton** Loss 1-9 210.66 Ignored Mar 1st 3rd Annual 7th Annual Bens Bar Mitzvah
251 Akron Win 7-5 -475.48 Mar 1st 3rd Annual 7th Annual Bens Bar Mitzvah
48 Case Western Reserve** Loss 0-11 857.21 Ignored Mar 1st 3rd Annual 7th Annual Bens Bar Mitzvah
**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)