#64 North Carolina-Charlotte (8-5)

avg: 1462.5  •  sd: 43.06  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
30 Auburn Loss 8-11 1343.65 Feb 3rd Queen City Tune Up 2018 College Open
151 George Mason Win 11-9 1366.05 Feb 3rd Queen City Tune Up 2018 College Open
91 Penn State Win 11-9 1623.11 Feb 3rd Queen City Tune Up 2018 College Open
133 Case Western Reserve Win 11-9 1424.97 Feb 3rd Queen City Tune Up 2018 College Open
16 North Carolina-Wilmington Loss 7-11 1417.62 Feb 3rd Queen City Tune Up 2018 College Open
124 Indiana Win 13-9 1644.83 Feb 17th Easterns Qualifier 2018
102 Richmond Win 10-7 1716.55 Feb 17th Easterns Qualifier 2018
113 Lehigh Loss 9-10 1159.08 Feb 17th Easterns Qualifier 2018
224 Georgia Southern** Win 13-5 1461.24 Ignored Feb 17th Easterns Qualifier 2018
34 William & Mary Loss 8-10 1385.53 Feb 17th Easterns Qualifier 2018
40 Iowa Loss 11-15 1243.65 Feb 18th Easterns Qualifier 2018
98 Clemson Win 13-11 1566.88 Feb 18th Easterns Qualifier 2018
75 Tennessee-Chattanooga Win 12-10 1653.79 Feb 18th Easterns Qualifier 2018
**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)