#41 Northeastern (13-11)

avg: 1603.36  •  sd: 55.91  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
61 James Madison Win 9-8 1597.52 Feb 3rd Queen City Tune Up 2018 College Open
116 Appalachian State Win 11-4 1874.46 Feb 3rd Queen City Tune Up 2018 College Open
36 Michigan Loss 7-9 1358.97 Feb 3rd Queen City Tune Up 2018 College Open
50 Notre Dame Win 10-9 1664.28 Feb 3rd Queen City Tune Up 2018 College Open
42 Connecticut Win 11-7 2062.45 Feb 3rd Queen City Tune Up 2018 College Open
30 Auburn Loss 4-8 1144.45 Feb 4th Queen City Tune Up 2018 College Open
160 Oklahoma Win 13-6 1692.6 Feb 16th Warm Up A Florida Affair 2018
81 Florida State Win 13-3 2008.72 Feb 16th Warm Up A Florida Affair 2018
36 Michigan Win 11-8 2003.91 Feb 16th Warm Up A Florida Affair 2018
10 Virginia Tech Loss 3-13 1323.3 Feb 16th Warm Up A Florida Affair 2018
45 Illinois State Win 12-10 1824.28 Feb 17th Warm Up A Florida Affair 2018
31 LSU Loss 9-13 1280.99 Feb 17th Warm Up A Florida Affair 2018
6 Brown Loss 7-15 1446.71 Feb 17th Warm Up A Florida Affair 2018
14 Florida Loss 13-15 1672.64 Feb 18th Warm Up A Florida Affair 2018
13 Wisconsin Loss 4-11 1317.12 Feb 18th Warm Up A Florida Affair 2018
70 Arkansas Win 9-8 1564.53 Mar 10th Mens Centex 2018
4 Minnesota Loss 8-13 1573.76 Mar 10th Mens Centex 2018
200 Rice** Win 13-2 1532.65 Ignored Mar 10th Mens Centex 2018
29 Texas Loss 9-11 1461.89 Mar 10th Mens Centex 2018
56 Temple Loss 7-11 1042.71 Mar 10th Mens Centex 2018
82 Oklahoma State Win 15-8 1972 Mar 11th Mens Centex 2018
39 Northwestern Win 13-12 1753.7 Mar 11th Mens Centex 2018
112 Texas Tech Win 10-6 1781.24 Mar 11th Mens Centex 2018
26 Texas-Dallas Loss 11-14 1415.68 Mar 11th Mens Centex 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)