#378 SUNY-Buffalo-B (4-12)

avg: 301.69  •  sd: 68.16  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
268 Akron Loss 4-13 271.21 Mar 9th Spring Spook 2024
157 Miami (Ohio)** Loss 5-13 689.76 Ignored Mar 9th Spring Spook 2024
347 Wright State Loss 6-13 -72.64 Mar 9th Spring Spook 2024
237 Carthage Loss 6-10 493.49 Mar 10th Spring Spook 2024
292 Kent State Loss 6-12 168.31 Mar 10th Spring Spook 2024
245 Skidmore** Loss 5-12 378.07 Ignored Mar 30th Northeast Classic 2024
240 SUNY-Albany** Loss 4-13 387.78 Ignored Mar 30th Northeast Classic 2024
397 SUNY-Albany-B Win 13-12 217.79 Mar 30th Northeast Classic 2024
364 Rensselaer Polytech Win 11-6 978.94 Mar 31st Northeast Classic 2024
327 SUNY-Binghamton-B Loss 7-12 93.7 Mar 31st Northeast Classic 2024
267 SUNY-Geneseo Loss 4-11 271.49 Mar 31st Northeast Classic 2024
345 Cornell-B Loss 9-10 409.1 Apr 13th Metro East Dev Mens Conferences 2024
327 SUNY-Binghamton-B Loss 6-12 34.9 Apr 13th Metro East Dev Mens Conferences 2024
343 Connecticut-B Loss 8-14 13.29 Apr 14th Metro East Dev Mens Conferences 2024
411 RIT-B Win 13-5 334 Apr 14th Metro East Dev Mens Conferences 2024
397 SUNY-Albany-B Win 15-3 692.79 Apr 14th Metro East Dev 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)