#245 Skidmore (15-10)

avg: 978.07  •  sd: 77.12  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
319 Edinboro Win 9-3 1254.16 Feb 24th Bring The Huckus 2024
256 Salisbury Loss 8-9 794.79 Feb 24th Bring The Huckus 2024
382 Lehigh-B** Win 13-3 887.63 Ignored Feb 24th Bring The Huckus 2024
310 Stevens Tech Loss 5-9 149.77 Feb 24th Bring The Huckus 2024
275 Central Connecticut State Loss 6-15 248.66 Feb 25th Bring The Huckus 2024
327 SUNY-Binghamton-B Win 13-8 1110.37 Feb 25th Bring The Huckus 2024
318 Swarthmore Win 8-7 780.47 Feb 25th Bring The Huckus 2024
283 Hofstra Win 10-8 1071.94 Mar 30th Northeast Classic 2024
378 SUNY-Buffalo-B** Win 12-5 901.69 Ignored Mar 30th Northeast Classic 2024
240 SUNY-Albany Win 10-7 1377.45 Mar 30th Northeast Classic 2024
213 Ithaca Loss 7-9 796.3 Mar 31st Northeast Classic 2024
267 SUNY-Geneseo Win 9-8 996.49 Mar 31st Northeast Classic 2024
108 Vermont-B Loss 8-10 1212.36 Mar 31st Northeast Classic 2024
- Union (New York)** Win 11-1 764.97 Ignored Apr 13th Hudson Valley D III Mens Conferences 2024
205 Vassar Loss 6-9 686.97 Apr 13th Hudson Valley D III Mens Conferences 2024
284 Marist Loss 10-13 481.06 Apr 13th Hudson Valley D III Mens Conferences 2024
364 Rensselaer Polytech Win 15-4 1032.24 Apr 14th Hudson Valley D III Mens Conferences 2024
401 Siena** Win 13-1 639.98 Ignored Apr 14th Hudson Valley D III Mens Conferences 2024
187 College of New Jersey Win 15-8 1728.23 Apr 27th Metro East D III College Mens Regionals 2024
117 Rochester Loss 6-15 827.33 Apr 27th Metro East D III College Mens Regionals 2024
205 Vassar Loss 5-15 505.54 Apr 27th Metro East D III College Mens Regionals 2024
376 SUNY-Fredonia** Win 15-5 908.89 Ignored Apr 27th Metro East D III College Mens Regionals 2024
213 Ithaca Win 13-7 1633.17 Apr 28th Metro East D III College Mens Regionals 2024
136 Wesleyan Loss 8-15 804.1 Apr 28th Metro East D III College Mens Regionals 2024
181 SUNY-Cortland Win 7-5 1521.36 Apr 28th Metro East D III College Mens Regionals 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)