#13 Ohio State (17-7)

avg: 2404.92  •  sd: 59.18  •  top 16/20: 99.3%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
46 North Carolina-Wilmington Win 10-8 2240.87 Jan 13th Florida Winter Classic 2018
57 Kansas Win 13-8 2332.7 Jan 13th Florida Winter Classic 2018
8 West Chester Win 11-4 3105.97 Jan 13th Florida Winter Classic 2018
54 Florida State Win 15-3 2456.06 Jan 14th Florida Winter Classic 2018
21 Michigan Win 11-10 2363.43 Jan 14th Florida Winter Classic 2018
8 West Chester Loss 9-13 2087.41 Jan 14th Florida Winter Classic 2018
21 Michigan Loss 12-13 2113.43 Feb 3rd Queen City Tune Up 2018 College Women
36 Colorado College Win 10-8 2295.84 Feb 3rd Queen City Tune Up 2018 College Women
41 Georgia Tech Win 11-7 2476.31 Feb 3rd Queen City Tune Up 2018 College Women
12 Carleton College Loss 8-11 2056.36 Feb 3rd Queen City Tune Up 2018 College Women
1 Dartmouth Win 8-6 3197.75 Feb 4th Queen City Tune Up 2018 College Women
61 California-Davis Win 13-3 2417.92 Mar 3rd Stanford Invite 2018
4 Stanford Loss 7-9 2416.18 Mar 3rd Stanford Invite 2018
16 Western Washington Win 8-7 2469.39 Mar 3rd Stanford Invite 2018
33 UCLA Win 9-8 2187.69 Mar 4th Stanford Invite 2018
10 Pittsburgh Win 11-9 2730.96 Mar 4th Stanford Invite 2018
2 California-San Diego Loss 7-13 2175.29 Mar 4th Stanford Invite 2018
5 Oregon Loss 11-12 2485.52 Mar 4th Stanford Invite 2018
37 Northwestern Win 13-7 2585.71 Mar 24th Womens Centex 2018
55 Iowa State Win 10-9 1971.46 Mar 24th Womens Centex 2018
28 Washington University Win 9-7 2393.23 Mar 24th Womens Centex 2018
34 Northeastern Win 15-11 2436.07 Mar 25th Womens Centex 2018
32 Florida Win 15-6 2680.24 Mar 25th Womens Centex 2018
11 Texas Loss 13-15 2257.57 Mar 25th Womens Centex 2018
**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)