#321 SUNY-Binghamton-B (6-9)

avg: 255.69  •  sd: 78.05  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
219 Central Connecticut State Loss 4-8 190.73 Feb 24th Bring The Huckus 2024
252 Dickinson Loss 3-8 10.43 Feb 24th Bring The Huckus 2024
312 Rutgers-B Loss 3-6 -258.41 Feb 24th Bring The Huckus 2024
306 Swarthmore Loss 8-10 61.41 Feb 24th Bring The Huckus 2024
312 Rutgers-B Win 11-8 653.9 Feb 25th Bring The Huckus 2024
233 Skidmore Loss 8-13 208.36 Feb 25th Bring The Huckus 2024
331 New Jersey Tech Win 8-7 288.75 Mar 23rd King of New York 2024
258 Cornell-B Loss 4-7 73.06 Mar 24th King of New York 2024
252 Dickinson Loss 4-9 10.43 Mar 24th King of New York 2024
367 Siena Win 9-7 145.72 Mar 24th King of New York 2024
153 Rhode Island** Loss 5-12 426.41 Ignored Mar 30th Northeast Classic 2024
306 Swarthmore Win 9-8 449.08 Mar 30th Northeast Classic 2024
302 Vermont-C Win 13-7 904.41 Mar 30th Northeast Classic 2024
282 Hofstra Loss 2-13 -150.53 Mar 31st Northeast Classic 2024
350 SUNY-Buffalo-B Win 12-7 545.95 Mar 31st Northeast Classic 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)