#7 Ohio State (15-5)

avg: 2106.77  •  sd: 60.32  •  top 16/20: 99.9%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
25 Georgia Win 11-7 2242.15 Jan 18th Florida Winter Classic 2020
15 Florida Win 10-7 2367.87 Jan 18th Florida Winter Classic 2020
56 North Carolina-Wilmington Win 10-7 1774.38 Jan 18th Florida Winter Classic 2020
98 North Georgia** Win 11-3 1672.34 Ignored Jan 18th Florida Winter Classic 2020
15 Florida Win 15-3 2578.2 Jan 19th Florida Winter Classic 2020
98 North Georgia** Win 15-1 1672.34 Ignored Jan 19th Florida Winter Classic 2020
11 Dartmouth Win 9-8 2160.62 Jan 19th Florida Winter Classic 2020
30 Vanderbilt Win 8-6 1978.63 Feb 8th Queen City Tune Up 2020 Women
18 South Carolina Win 11-4 2544.86 Feb 8th Queen City Tune Up 2020 Women
33 North Carolina State Win 11-7 2105.2 Feb 8th Queen City Tune Up 2020 Women
62 Penn State Win 11-7 1791.55 Feb 8th Queen City Tune Up 2020 Women
2 North Carolina Loss 9-13 2067.94 Feb 9th Queen City Tune Up 2020 Women
21 Vermont Win 10-8 2188.2 Feb 22nd Commonwealth Cup 2020 Weekend 2
25 Georgia Win 13-6 2375.26 Feb 22nd Commonwealth Cup 2020 Weekend 2
13 Pittsburgh Loss 10-11 1869.81 Feb 22nd Commonwealth Cup 2020 Weekend 2
8 Northeastern Loss 11-15 1725.48 Feb 22nd Commonwealth Cup 2020 Weekend 2
56 North Carolina-Wilmington** Win 15-4 1984.72 Ignored Feb 23rd Commonwealth Cup 2020 Weekend 2
33 North Carolina State Win 15-5 2238.31 Feb 23rd Commonwealth Cup 2020 Weekend 2
2 North Carolina Loss 9-15 1971.02 Feb 23rd Commonwealth Cup 2020 Weekend 2
8 Northeastern Loss 13-14 1981.64 Feb 23rd Commonwealth Cup 2020 Weekend 2
**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)