#57 James Madison (13-12)

avg: 1406.04  •  sd: 63.47  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
260 Virginia-B** Win 13-0 190.42 Ignored Jan 25th Winta Binta Vinta 2025
22 Ohio State Loss 3-12 1293.06 Jan 25th Winta Binta Vinta 2025
74 Penn State Win 10-3 1859.73 Jan 25th Winta Binta Vinta 2025
26 Georgetown Loss 5-8 1347.4 Jan 26th Winta Binta Vinta 2025
50 Liberty Win 8-7 1614.97 Jan 26th Winta Binta Vinta 2025
22 Ohio State Loss 1-13 1293.06 Jan 26th Winta Binta Vinta 2025
109 Temple Win 8-6 1322.18 Feb 22nd 2025 Commonwealth Cup Weekend 2
72 Purdue Win 9-8 1385.94 Feb 22nd 2025 Commonwealth Cup Weekend 2
38 MIT Loss 7-8 1463.82 Feb 22nd 2025 Commonwealth Cup Weekend 2
76 Columbia Win 8-6 1519.94 Feb 23rd 2025 Commonwealth Cup Weekend 2
42 Duke Loss 9-13 1146.93 Feb 23rd 2025 Commonwealth Cup Weekend 2
113 West Chester Win 10-9 1076.97 Feb 23rd 2025 Commonwealth Cup Weekend 2
158 Virginia Commonwealth Win 12-7 1187.95 Apr 12th Virginia D I Womens Conferences 2025
37 William & Mary Loss 6-8 1302.38 Apr 12th Virginia D I Womens Conferences 2025
21 Virginia Loss 4-12 1301.06 Apr 12th Virginia D I Womens Conferences 2025
102 Virginia Tech Win 8-6 1349.85 Apr 12th Virginia D I Womens Conferences 2025
50 Liberty Loss 8-10 1227.3 Apr 13th Virginia D I Womens Conferences 2025
21 Virginia Loss 8-11 1535.45 Apr 13th Virginia D I Womens Conferences 2025
102 Virginia Tech Win 9-8 1174.35 Apr 13th Virginia D I Womens Conferences 2025
78 Appalachian State Win 10-5 1789.06 Apr 26th Atlantic Coast D I College Womens Regionals 2025
102 Virginia Tech Win 12-8 1490.51 Apr 26th Atlantic Coast D I College Womens Regionals 2025
9 North Carolina Loss 7-14 1540.02 Apr 26th Atlantic Coast D I College Womens Regionals 2025
60 South Carolina Win 15-10 1838.58 Apr 26th Atlantic Coast D I College Womens Regionals 2025
45 American Loss 6-8 1241.92 Apr 27th Atlantic Coast D I College Womens Regionals 2025
37 William & Mary Loss 10-12 1364.75 Apr 27th Atlantic Coast D I College Womens Regionals 2025
**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)