#91 SUNY-Buffalo (18-8)

avg: 1116.18  •  sd: 60.63  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
169 Delaware Win 10-7 999.48 Mar 1st Cherry Blossom Classic 2025
179 George Mason Win 7-3 1143.98 Mar 1st Cherry Blossom Classic 2025
98 Lehigh Win 6-5 1215.18 Mar 1st Cherry Blossom Classic 2025
112 SUNY-Binghamton Win 9-6 1388.58 Mar 1st Cherry Blossom Classic 2025
144 Catholic Win 9-5 1263.11 Mar 2nd Cherry Blossom Classic 2025
53 Maryland Loss 1-10 856.32 Mar 2nd Cherry Blossom Classic 2025
112 SUNY-Binghamton Loss 3-8 370.01 Mar 2nd Cherry Blossom Classic 2025
176 Bentley Win 11-3 1177.18 Mar 29th New England Open 2025
206 Clark** Win 10-3 909.64 Ignored Mar 29th New England Open 2025
174 New Hampshire Win 8-1 1181.82 Mar 29th New England Open 2025
139 Rutgers Loss 4-6 426.94 Mar 29th New England Open 2025
148 Boston University Win 10-5 1297.39 Mar 30th New England Open 2025
48 McGill Loss 6-14 908.46 Mar 30th New England Open 2025
94 Rhode Island Win 9-7 1381.29 Mar 30th New England Open 2025
139 Rutgers Win 7-0 1392.55 Mar 30th New England Open 2025
235 Cornell-B** Win 15-1 720.28 Ignored Apr 12th Western NY D I Womens Conferences 2025
112 SUNY-Binghamton Win 13-4 1570.01 Apr 12th Western NY D I Womens Conferences 2025
34 Cornell Loss 4-11 1040.76 Apr 13th Western NY D I Womens Conferences 2025
161 Syracuse Win 11-6 1210 Apr 13th Western NY D I Womens Conferences 2025
64 Connecticut Loss 3-13 719.26 Apr 26th Metro East D I College Womens Regionals 2025
112 SUNY-Binghamton Loss 8-9 845.01 Apr 26th Metro East D I College Womens Regionals 2025
185 SUNY-Stony Brook Win 8-6 819.19 Apr 26th Metro East D I College Womens Regionals 2025
104 Yale Win 11-6 1587.33 Apr 26th Metro East D I College Womens Regionals 2025
79 Columbia Loss 7-8 1093.99 Apr 27th Metro East D I College Womens Regionals 2025
112 SUNY-Binghamton Win 8-6 1270.51 Apr 27th Metro East D I College Womens Regionals 2025
139 Rutgers Win 11-6 1339.24 Apr 27th Metro East D I College Womens Regionals 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)