#41 SUNY-Binghamton (6-8)

avg: 1703.59  •  sd: 50.81  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
90 Carnegie Mellon Win 14-12 1511.81 Feb 24th Commonwealth Cup Weekend 2 2024
12 Michigan Loss 9-15 1796.12 Feb 24th Commonwealth Cup Weekend 2 2024
26 North Carolina State Loss 7-12 1408.03 Feb 24th Commonwealth Cup Weekend 2 2024
7 Tufts Loss 5-10 1946.28 Feb 25th Commonwealth Cup Weekend 2 2024
21 Ohio State Loss 3-12 1482.16 Feb 25th Commonwealth Cup Weekend 2 2024
25 Pittsburgh Loss 3-10 1362.92 Feb 25th Commonwealth Cup Weekend 2 2024
52 Yale Win 10-9 1719.05 Feb 25th Commonwealth Cup Weekend 2 2024
31 Brown Loss 8-9 1749.19 Mar 30th East Coast Invite 2024
75 Columbia Win 11-8 1740.52 Mar 30th East Coast Invite 2024
4 North Carolina Loss 7-14 2039.52 Mar 30th East Coast Invite 2024
114 West Chester Win 13-6 1660.72 Mar 30th East Coast Invite 2024
90 Carnegie Mellon Win 12-6 1870.16 Mar 31st East Coast Invite 2024
58 Cornell Win 10-9 1652.53 Mar 31st East Coast Invite 2024
32 UCLA Loss 7-8 1726.87 Mar 31st East Coast Invite 2024
**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)