#12 North Carolina State (19-8)

avg: 1918.86  •  sd: 50.13  •  top 16/20: 98.1%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
14 Florida Loss 11-12 1761.82 Jan 20th Carolina Kickoff 2018 NC Ultimate
91 Penn State Win 13-6 1973.9 Jan 20th Carolina Kickoff 2018 NC Ultimate
1 North Carolina Loss 11-13 2116.49 Jan 21st Carolina Kickoff 2018 NC Ultimate
37 Central Florida Win 13-12 1759.75 Jan 21st Carolina Kickoff 2018 NC Ultimate
16 North Carolina-Wilmington Loss 8-11 1518.9 Jan 21st Carolina Kickoff 2018 NC Ultimate
69 Carleton College-GoP Win 13-5 2049.46 Jan 21st Carolina Kickoff 2018 NC Ultimate
1 North Carolina Loss 5-10 1771.44 Feb 3rd Queen City Tune Up 2018 College Open
22 Tufts Win 8-7 1875.18 Feb 3rd Queen City Tune Up 2018 College Open
62 Vermont Win 11-9 1715.04 Feb 3rd Queen City Tune Up 2018 College Open
9 Georgia Win 11-9 2198.49 Feb 3rd Queen City Tune Up 2018 College Open
28 Carnegie Mellon Win 11-5 2318.65 Feb 3rd Queen City Tune Up 2018 College Open
10 Virginia Tech Loss 4-8 1358.49 Feb 4th Queen City Tune Up 2018 College Open
40 Iowa Win 13-6 2224.81 Feb 17th Easterns Qualifier 2018
23 Georgia Tech Loss 10-11 1618.96 Feb 17th Easterns Qualifier 2018
78 Georgetown Win 12-8 1856.23 Feb 17th Easterns Qualifier 2018
133 Case Western Reserve Win 13-6 1775.77 Feb 17th Easterns Qualifier 2018
73 Michigan State Win 13-6 2019.54 Feb 17th Easterns Qualifier 2018
46 South Carolina Win 13-12 1704.36 Feb 18th Easterns Qualifier 2018
34 William & Mary Win 12-10 1886.32 Feb 18th Easterns Qualifier 2018
33 Maryland Win 15-8 2249.09 Feb 18th Easterns Qualifier 2018
86 Duke Win 15-8 1963.79 Feb 22nd Atlantic Coast Showcase ACS NCSU vs Duke
84 Virginia Win 14-12 1623.1 Mar 16th Atlantic Coast Showcase ACS NCSU vs Virginia
1 North Carolina Loss 9-13 1926.77 Mar 20th Atlantic Coast Showcase ACS NCSU vs UNC
31 LSU Win 15-13 1913.74 Mar 31st Easterns 2018
4 Minnesota Loss 10-15 1616.31 Mar 31st Easterns 2018
8 Massachusetts Win 15-9 2479.25 Mar 31st Easterns 2018
42 Connecticut Win 15-7 2195.56 Mar 31st Easterns 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)