#42 Connecticut (13-12)

avg: 1595.56  •  sd: 67.86  •  top 16/20: 0.1%

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 11-3 1874.46 Feb 3rd Queen City Tune Up 2018 College Open
41 Northeastern Loss 7-11 1136.47 Feb 3rd Queen City Tune Up 2018 College Open
50 Notre Dame Win 11-8 1904.89 Feb 3rd Queen City Tune Up 2018 College Open
36 Michigan Win 9-8 1763.31 Feb 3rd Queen City Tune Up 2018 College Open
45 Illinois State Win 13-9 2004.72 Feb 16th Warm Up A Florida Affair 2018
37 Central Florida Loss 5-13 1034.75 Feb 16th Warm Up A Florida Affair 2018
2 Carleton College Loss 6-13 1628.2 Feb 16th Warm Up A Florida Affair 2018
29 Texas Loss 11-13 1482.26 Feb 16th Warm Up A Florida Affair 2018
6 Brown Loss 8-13 1550.55 Feb 17th Warm Up A Florida Affair 2018
13 Wisconsin Win 11-10 2042.12 Feb 17th Warm Up A Florida Affair 2018
160 Oklahoma Win 13-6 1692.6 Feb 18th Warm Up A Florida Affair 2018
93 Cincinnati Loss 11-15 982.25 Feb 18th Warm Up A Florida Affair 2018
81 Florida State Loss 12-13 1283.72 Feb 18th Warm Up A Florida Affair 2018
167 North Carolina-B Win 13-6 1666.25 Mar 17th Oak Creek Invite 2018
78 Georgetown Win 13-9 1833.64 Mar 17th Oak Creek Invite 2018
204 SUNY-Geneseo** Win 13-5 1525.52 Ignored Mar 17th Oak Creek Invite 2018
115 Villanova Win 12-10 1514.8 Mar 17th Oak Creek Invite 2018
61 James Madison Loss 13-14 1347.52 Mar 18th Oak Creek Invite 2018
54 Mary Washington Win 15-13 1738.41 Mar 18th Oak Creek Invite 2018
33 Maryland Loss 12-15 1383.79 Mar 18th Oak Creek Invite 2018
12 North Carolina State Loss 7-15 1318.86 Mar 31st Easterns 2018
4 Minnesota Win 15-8 2634.72 Mar 31st Easterns 2018
31 LSU Loss 12-15 1399.07 Mar 31st Easterns 2018
8 Massachusetts Loss 8-15 1398.96 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)