#14 Ohio State (9-6)

avg: 1992.06  •  sd: 45.04  •  top 16/20: 99.7%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
94 Appalachian State Win 12-6 1951.75 Feb 9th Queen City Tune Up 2019 Men
40 Dartmouth Win 13-3 2286.47 Feb 9th Queen City Tune Up 2019 Men
1 North Carolina Loss 10-11 2106.92 Feb 9th Queen City Tune Up 2019 Men
61 Tennessee Win 13-8 2050.35 Feb 9th Queen City Tune Up 2019 Men
36 Alabama Win 13-11 1951.98 Feb 10th Queen City Tune Up 2019 Men
64 Ohio Win 15-8 2104.21 Feb 10th Queen City Tune Up 2019 Men
11 North Carolina State Loss 13-15 1813.39 Feb 10th Queen City Tune Up 2019 Men
6 Brigham Young Win 11-10 2259.73 Mar 2nd Stanford Invite 2019
21 California Win 8-7 1968.46 Mar 2nd Stanford Invite 2019
49 Northwestern Win 12-9 1983.05 Mar 2nd Stanford Invite 2019
3 Oregon Loss 11-13 1960.15 Mar 2nd Stanford Invite 2019
7 Carleton College-CUT Loss 8-9 1993.64 Mar 3rd Stanford Invite 2019
19 Colorado State Win 12-10 2137.67 Mar 3rd Stanford Invite 2019
12 Texas Loss 10-12 1771.78 Mar 3rd Stanford Invite 2019
3 Oregon Loss 6-13 1588.99 Mar 3rd Stanford Invite 2019
**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)