#139 Rutgers (9-5)

avg: 1019.06  •  sd: 95.21  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
239 Columbia-B** Win 7-1 674.12 Ignored Mar 8th Strong Island Invitational
127 NYU Win 5-4 1237.91 Mar 8th Strong Island Invitational
216 SUNY-Stony Brook Win 6-3 987.47 Mar 8th Strong Island Invitational
95 Williams Loss 5-8 885.01 Mar 8th Strong Island Invitational
127 NYU Loss 6-7 987.91 Mar 9th Strong Island Invitational
216 SUNY-Stony Brook Win 13-5 1040.77 Mar 9th Strong Island Invitational
186 Bentley Win 8-7 800.55 Mar 29th New England Open 2025
225 Clark** Win 11-1 939.71 Ignored Mar 29th New England Open 2025
178 New Hampshire Win 8-3 1358.82 Mar 29th New England Open 2025
100 SUNY-Buffalo Win 6-4 1682.13 Mar 29th New England Open 2025
147 Boston University Win 9-6 1398.56 Mar 30th New England Open 2025
131 Harvard Loss 6-7 951.14 Mar 30th New England Open 2025
178 New Hampshire Loss 0-7 158.82 Mar 30th New England Open 2025
100 SUNY-Buffalo Loss 0-7 716.52 Mar 30th New England Open 2025
**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)