#24 Ohio State (27-10)

avg: 1893.87  •  sd: 63.09  •  top 16/20: 7.6%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
50 Georgetown Win 13-3 2201.27 Jan 27th Winta Binta Vinta 2024
65 James Madison Win 11-3 2062.49 Jan 27th Winta Binta Vinta 2024
229 Virginia-B** Win 13-0 759.59 Ignored Jan 27th Winta Binta Vinta 2024
138 Liberty** Win 13-2 1546.76 Ignored Jan 27th Winta Binta Vinta 2024
51 Virginia Win 9-5 2106.75 Jan 28th Winta Binta Vinta 2024
89 Virginia Tech Win 13-2 1906.92 Jan 28th Winta Binta Vinta 2024
36 William & Mary Win 10-5 2333.79 Jan 28th Winta Binta Vinta 2024
19 Georgia Loss 7-12 1507.66 Feb 10th Queen City Tune Up 2024
12 Michigan Loss 10-15 1746.08 Feb 10th Queen City Tune Up 2024
6 North Carolina Loss 8-15 1934.59 Feb 10th Queen City Tune Up 2024
16 Pennsylvania Win 11-10 2224.13 Feb 10th Queen City Tune Up 2024
158 Case Western Reserve** Win 15-5 1434.5 Ignored Feb 11th Queen City Tune Up 2024
51 Virginia Win 12-9 1923.05 Feb 11th Queen City Tune Up 2024
99 Chicago Win 15-7 1819.77 Feb 24th Commonwealth Cup Weekend 2 2024
22 Pittsburgh Loss 10-11 1809.21 Feb 24th Commonwealth Cup Weekend 2 2024
44 Yale Win 15-5 2246.48 Feb 24th Commonwealth Cup Weekend 2 2024
19 Georgia Win 9-8 2153.17 Feb 25th Commonwealth Cup Weekend 2 2024
51 Virginia Win 11-7 2044.58 Feb 25th Commonwealth Cup Weekend 2 2024
16 Pennsylvania Loss 8-10 1836.46 Feb 25th Commonwealth Cup Weekend 2 2024
39 SUNY-Binghamton Win 12-3 2320.35 Feb 25th Commonwealth Cup Weekend 2 2024
47 Southern California Win 13-5 2236.66 Mar 16th Womens Centex 2024
25 Utah Win 10-9 2011.02 Mar 16th Womens Centex 2024
34 Washington University Win 13-8 2280.32 Mar 16th Womens Centex 2024
27 Brown Loss 10-11 1744.14 Mar 17th Womens Centex 2024
99 Chicago** Win 15-2 1819.77 Ignored Mar 17th Womens Centex 2024
53 Texas Win 13-8 2057.45 Mar 17th Womens Centex 2024
42 Texas-Dallas Win 13-5 2279.92 Mar 17th Womens Centex 2024
158 Case Western Reserve** Win 9-0 1434.5 Ignored Apr 20th Ohio D I Womens Conferences 2024
80 Cincinnati Loss 3-7 754.51 Apr 20th Ohio D I Womens Conferences 2024
49 Ohio Loss 5-6 1481.71 Apr 20th Ohio D I Womens Conferences 2024
112 Carnegie Mellon** Win 10-4 1734.03 Ignored Apr 27th Ohio Valley D I College Womens Regionals 2024
80 Cincinnati Win 13-4 1954.51 Apr 27th Ohio Valley D I College Womens Regionals 2024
22 Pittsburgh Loss 5-10 1360.31 Apr 27th Ohio Valley D I College Womens Regionals 2024
121 Temple Win 7-4 1574.66 Apr 27th Ohio Valley D I College Womens Regionals 2024
49 Ohio Win 11-7 2073.6 Apr 28th Ohio Valley D I College Womens Regionals 2024
16 Pennsylvania Loss 5-12 1499.13 Apr 28th Ohio Valley D I College Womens Regionals 2024
64 Penn State Win 10-6 1973.14 Apr 28th Ohio Valley D I College Womens Regionals 2024
**Blowout Eligible

FAQ

What is the uncertainty of the mean?
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
What's the algorithm again?
  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
Is there a longer explanation of all this?
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)