#105 Liberty (9-8)

avg: 1087.19  •  sd: 84.75  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
59 Duke Loss 4-8 881.15 Jan 26th Winta Binta Vinta Fest 2019
71 William & Mary Win 7-5 1654.77 Jan 26th Winta Binta Vinta Fest 2019
45 Virginia Loss 2-11 945.7 Jan 26th Winta Binta Vinta Fest 2019
182 George Mason Win 8-3 1228.31 Jan 26th Winta Binta Vinta Fest 2019
71 William & Mary Loss 6-10 830.46 Jan 27th Winta Binta Vinta Fest 2019
157 Virginia Commonwealth Win 8-3 1441.9 Jan 27th Winta Binta Vinta Fest 2019
44 Brown Loss 4-10 954.41 Feb 23rd Commonwealth Cup 2019
161 Drexel Win 12-6 1390.3 Feb 23rd Commonwealth Cup 2019
271 Virginia-B** Win 10-3 416.54 Ignored Feb 23rd Commonwealth Cup 2019
182 George Mason Win 13-12 753.31 Feb 23rd Commonwealth Cup 2019
59 Duke Loss 6-12 866.65 Feb 24th Commonwealth Cup 2019
117 Catholic Win 12-7 1564.31 Feb 24th Commonwealth Cup 2019
28 North Carolina State Loss 6-11 1226.96 Mar 30th I 85 Rodeo 2019
85 Dayton Loss 2-11 643.31 Mar 30th I 85 Rodeo 2019
36 Vanderbilt Loss 4-10 1073.28 Mar 30th I 85 Rodeo 2019
144 Tennessee Win 14-6 1496.06 Mar 31st I 85 Rodeo 2019
192 William & Mary-B Win 10-9 702.01 Mar 31st I 85 Rodeo 2019
**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)