#267 SUNY-Geneseo (10-16)

avg: 871.49  •  sd: 48.05  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
139 Army Loss 4-9 748.35 Feb 24th Bring The Huckus 2024
225 Colby Loss 9-10 910.69 Feb 24th Bring The Huckus 2024
234 Haverford Win 9-7 1278.86 Feb 24th Bring The Huckus 2024
108 Vermont-B** Loss 4-13 875.03 Ignored Feb 24th Bring The Huckus 2024
234 Haverford Loss 12-13 874.52 Feb 25th Bring The Huckus 2024
310 Stevens Tech Loss 12-14 457.88 Feb 25th Bring The Huckus 2024
364 Rensselaer Polytech Win 12-6 1011.56 Mar 30th Northeast Classic 2024
159 Rhode Island Loss 5-11 688.15 Mar 30th Northeast Classic 2024
315 Vermont-C Win 13-9 1079.13 Mar 30th Northeast Classic 2024
283 Hofstra Win 9-8 934.27 Mar 31st Northeast Classic 2024
218 Middlebury-B Loss 6-7 929.71 Mar 31st Northeast Classic 2024
245 Skidmore Loss 8-9 853.07 Mar 31st Northeast Classic 2024
378 SUNY-Buffalo-B Win 11-4 901.69 Mar 31st Northeast Classic 2024
213 Ithaca Win 10-9 1200.64 Apr 14th Western NY D III Mens Conferences 2024
249 Colgate Loss 5-10 386.32 Apr 20th Western NY D III Mens Conferences 2024
213 Ithaca Loss 10-11 950.64 Apr 20th Western NY D III Mens Conferences 2024
181 SUNY-Cortland Loss 4-11 593.21 Apr 20th Western NY D III Mens Conferences 2024
376 SUNY-Fredonia Win 14-4 908.89 Apr 20th Western NY D III Mens Conferences 2024
249 Colgate Loss 9-11 711.01 Apr 21st Western NY D III Mens Conferences 2024
326 SUNY-Oneonta Win 13-4 1215.61 Apr 21st Western NY D III Mens Conferences 2024
139 Army Loss 5-15 748.35 Apr 27th Metro East D III College Mens Regionals 2024
249 Colgate Win 9-8 1085.22 Apr 27th Metro East D III College Mens Regionals 2024
213 Ithaca Loss 6-12 496.32 Apr 27th Metro East D III College Mens Regionals 2024
136 Wesleyan Loss 5-15 768.91 Apr 27th Metro East D III College Mens Regionals 2024
187 College of New Jersey Win 14-12 1384.38 Apr 28th Metro East D III College Mens Regionals 2024
205 Vassar Loss 7-11 638.64 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)