#239 SUNY-Albany (1-12)

avg: -15.01  •  sd: 105.5  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
192 Connecticut College Loss 4-7 54.9 Mar 2nd SouthHill Slam
244 Cornell-B Win 7-4 213.38 Mar 2nd SouthHill Slam
142 Ithaca** Loss 0-9 320.19 Ignored Mar 2nd SouthHill Slam
192 Connecticut College Loss 0-9 -48.94 Mar 3rd SouthHill Slam
244 Cornell-B Loss 4-4 -282.78 Mar 3rd SouthHill Slam
181 Vermont-C Loss 5-8 157.33 Mar 30th Northeast Classic 2024
180 SUNY-Buffalo Loss 4-9 20.02 Mar 30th Northeast Classic 2024
191 Syracuse Loss 1-12 -47.46 Mar 30th Northeast Classic 2024
110 Rutgers** Loss 0-12 565.12 Ignored Apr 13th Eastern Metro East D I Womens Conferences 2024
57 Connecticut** Loss 0-13 929.14 Ignored Apr 13th Eastern Metro East D I Womens Conferences 2024
164 SUNY-Stony Brook** Loss 0-10 206.94 Ignored Apr 13th Eastern Metro East D I Womens Conferences 2024
201 Columbia-B Loss 4-13 -157.72 Apr 14th Eastern Metro East D I Womens Conferences 2024
111 NYU** Loss 0-15 541.12 Ignored Apr 14th Eastern Metro East D I Womens 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)