#374 New Jersey Tech (4-11)

avg: 323.7  •  sd: 67.24  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
367 Dartmouth-B Loss 7-13 -140 Mar 16th Free Tournament
170 Villanova** Loss 5-13 651.96 Ignored Mar 16th Free Tournament
411 RIT-B Win 13-1 334 Mar 16th Free Tournament
376 SUNY-Fredonia Win 8-7 433.89 Mar 16th Free Tournament
139 Army** Loss 3-15 748.35 Ignored Mar 17th Free Tournament
411 RIT-B Win 15-1 334 Mar 17th Free Tournament
376 SUNY-Fredonia Loss 7-8 183.89 Mar 17th Free Tournament
327 SUNY-Binghamton-B Loss 7-8 489.21 Mar 23rd King of New York 2024
244 Dickinson Loss 6-8 678.6 Mar 24th King of New York 2024
401 Siena Win 8-6 340.47 Mar 24th King of New York 2024
163 Columbia Loss 6-12 696.11 Apr 13th Metro NY D I Mens Conferences 2024
162 Rutgers** Loss 1-13 682.55 Ignored Apr 13th Metro NY D I Mens Conferences 2024
272 Rowan Loss 4-13 256.78 Apr 13th Metro NY D I Mens Conferences 2024
283 Hofstra Loss 6-15 209.27 Apr 14th Metro NY D I Mens Conferences 2024
300 SUNY-Stony Brook Loss 5-12 114.83 Apr 14th Metro NY D I Mens Conferences 2024
**Blowout Eligible

FAQ

What is the uncertainty of the mean?
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
What's the algorithm again?
  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
Is there a longer explanation of all this?
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)