#110 Williams (10-7)

avg: 1315.82  •  sd: 56.74  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
120 James Madison Win 12-10 1520.93 Feb 2nd Mid Atlantic Warmup 2019
114 Liberty Win 13-12 1425.11 Feb 2nd Mid Atlantic Warmup 2019
113 Davidson Loss 12-13 1176.9 Feb 2nd Mid Atlantic Warmup 2019
166 Virginia Commonwealth Win 13-11 1320.67 Feb 2nd Mid Atlantic Warmup 2019
85 Richmond Loss 12-15 1129.21 Feb 3rd Mid Atlantic Warmup 2019
113 Davidson Loss 13-15 1087.72 Feb 3rd Mid Atlantic Warmup 2019
188 East Carolina Win 13-10 1358.51 Mar 16th Oak Creek Invite 2019
101 Connecticut Loss 6-13 756.24 Mar 16th Oak Creek Invite 2019
102 Georgetown Loss 12-14 1130.23 Mar 16th Oak Creek Invite 2019
32 William & Mary Loss 6-13 1146.68 Mar 16th Oak Creek Invite 2019
157 Drexel Win 15-6 1729.41 Mar 17th Oak Creek Invite 2019
108 North Carolina-Charlotte Loss 11-12 1200.07 Mar 17th Oak Creek Invite 2019
223 Rensselaer Polytech Win 13-5 1516.61 Mar 30th Uprising 8
210 Rochester Win 9-7 1232.63 Mar 30th Uprising 8
193 Colgate Win 13-6 1611.84 Mar 30th Uprising 8
281 Skidmore Win 15-8 1314.41 Mar 31st Uprising 8
193 Colgate Win 10-5 1585.73 Mar 31st Uprising 8
**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)