#100 SUNY-Buffalo (11-4)

avg: 1316.52  •  sd: 82.56  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
149 Delaware Win 10-7 1365.66 Mar 1st Cherry Blossom Classic 2025
172 George Mason Win 7-3 1403.05 Mar 1st Cherry Blossom Classic 2025
102 Lehigh Win 6-5 1401.26 Mar 1st Cherry Blossom Classic 2025
111 SUNY-Binghamton Win 9-6 1653.22 Mar 1st Cherry Blossom Classic 2025
134 Catholic Win 9-5 1587.77 Mar 2nd Cherry Blossom Classic 2025
56 Maryland Loss 1-10 1098.67 Mar 2nd Cherry Blossom Classic 2025
111 SUNY-Binghamton Loss 3-8 634.66 Mar 2nd Cherry Blossom Classic 2025
186 Bentley** Win 11-3 1275.55 Ignored Mar 29th New England Open 2025
225 Clark** Win 10-3 939.71 Ignored Mar 29th New England Open 2025
178 New Hampshire Win 8-1 1358.82 Mar 29th New England Open 2025
139 Rutgers Loss 4-6 653.45 Mar 29th New England Open 2025
147 Boston University Win 10-5 1553.89 Mar 30th New England Open 2025
53 McGill Loss 6-14 1136.71 Mar 30th New England Open 2025
105 Rhode Island Win 9-7 1544.56 Mar 30th New England Open 2025
139 Rutgers Win 7-0 1619.06 Mar 30th New England Open 2025
**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)