#184 Northeastern-B (10-8)

avg: 620.36  •  sd: 69.8  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
239 Columbia-B Win 8-3 834.82 Feb 16th Cherry Blossom Classic 2019
263 George Washington-B Win 11-3 622.34 Feb 16th Cherry Blossom Classic 2019
164 Pittsburgh-B Win 9-3 1379.09 Feb 16th Cherry Blossom Classic 2019
240 Georgetown-B Win 8-4 797.37 Feb 17th Cherry Blossom Classic 2019
226 Brown-B Win 8-4 921.78 Feb 17th Cherry Blossom Classic 2019
164 Pittsburgh-B Loss 5-7 450.94 Feb 17th Cherry Blossom Classic 2019
150 Bowdoin Loss 3-7 267.72 Mar 23rd Live Free and Sky 2019
272 Boston College -B** Win 9-1 403.91 Ignored Mar 23rd Live Free and Sky 2019
221 Bentley Win 8-6 687 Mar 23rd Live Free and Sky 2019
76 Rensselaer Polytech** Loss 3-11 685.87 Ignored Mar 23rd Live Free and Sky 2019
63 New Hampshire** Loss 2-11 814.87 Ignored Mar 24th Live Free and Sky 2019
170 Vermont-B Win 7-6 860.6 Mar 24th Live Free and Sky 2019
150 Bowdoin Loss 2-10 267.72 Mar 24th Live Free and Sky 2019
248 Johns Hopkins University Win 8-6 463.02 Mar 30th Garden State 9
142 Amherst Loss 3-8 298.03 Mar 30th Garden State 9
159 SUNY-Albany Win 7-6 949.44 Mar 31st Garden State 9
63 New Hampshire** Loss 5-13 814.87 Ignored Mar 31st Garden State 9
169 Rochester Loss 6-10 258.21 Mar 31st Garden State 9
**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)