#32 William & Mary (18-6)

avg: 1746.68  •  sd: 44.73  •  top 16/20: 0.6%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
114 Liberty Win 13-7 1857.64 Feb 2nd Mid Atlantic Warmup 2019
87 Case Western Reserve Win 13-7 1980.09 Feb 2nd Mid Atlantic Warmup 2019
157 Drexel** Win 13-5 1729.41 Ignored Feb 2nd Mid Atlantic Warmup 2019
88 Tennessee-Chattanooga Win 11-9 1668.39 Feb 2nd Mid Atlantic Warmup 2019
151 SUNY-Binghamton Win 15-10 1615.75 Feb 3rd Mid Atlantic Warmup 2019
39 Vermont Loss 14-15 1580.77 Feb 3rd Mid Atlantic Warmup 2019
88 Tennessee-Chattanooga Win 15-11 1800.35 Feb 3rd Mid Atlantic Warmup 2019
91 Mary Washington Win 15-12 1683 Feb 9th Virginia Showcase Series 2019 2919
120 James Madison Win 15-11 1663.97 Feb 23rd Virginia Showcase Series 22319
188 East Carolina Win 13-8 1526.52 Mar 16th Oak Creek Invite 2019
101 Connecticut Win 11-9 1605.44 Mar 16th Oak Creek Invite 2019
102 Georgetown Win 13-6 1951.18 Mar 16th Oak Creek Invite 2019
110 Williams Win 13-6 1915.82 Mar 16th Oak Creek Invite 2019
66 Penn State Win 15-12 1835.74 Mar 17th Oak Creek Invite 2019
18 Michigan Loss 13-14 1783.77 Mar 17th Oak Creek Invite 2019
47 Maryland Win 12-11 1781.33 Mar 17th Oak Creek Invite 2019
85 Richmond Loss 14-16 1221.41 Mar 23rd Virginia Showcase Series 32319
4 Pittsburgh Loss 9-13 1766.36 Mar 30th Easterns 2019 Men
49 Northwestern Win 12-10 1875.81 Mar 30th Easterns 2019 Men
26 North Carolina-Wilmington Win 11-8 2146.58 Mar 30th Easterns 2019 Men
20 Tufts Loss 9-13 1445.58 Mar 30th Easterns 2019 Men
17 Minnesota Loss 8-15 1386.24 Mar 31st Easterns 2019 Men
47 Maryland Win 12-10 1894.45 Mar 31st Easterns 2019 Men
54 Virginia Tech Win 11-6 2166.14 Mar 31st Easterns 2019 Men
**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)