#51 Cornell (25-8)

avg: 1723.89  •  sd: 46.61  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
47 Emory Win 10-9 1880.99 Jan 31st Florida Warm Up 2025
144 South Florida Win 9-5 1817.59 Jan 31st Florida Warm Up 2025
26 Michigan Loss 8-11 1561.57 Jan 31st Florida Warm Up 2025
12 Washington University Loss 7-13 1546.77 Feb 1st Florida Warm Up 2025
32 Utah State Loss 9-13 1433.59 Feb 1st Florida Warm Up 2025
132 Florida State Win 13-9 1746.1 Feb 1st Florida Warm Up 2025
71 Florida Win 10-9 1735.25 Feb 2nd Florida Warm Up 2025
45 Virginia Tech Loss 7-13 1218.07 Feb 2nd Florida Warm Up 2025
113 West Chester Win 11-7 1859.53 Mar 1st Oak Creek Challenge 2025
212 SUNY-Albany** Win 10-1 1623.44 Ignored Mar 1st Oak Creek Challenge 2025
112 Liberty Win 13-2 2005.59 Mar 1st Oak Creek Challenge 2025
115 RIT Win 13-7 1941.75 Mar 2nd Oak Creek Challenge 2025
149 Rutgers Loss 8-9 1153.67 Mar 2nd Oak Creek Challenge 2025
154 Johns Hopkins Win 13-5 1856.34 Mar 2nd Oak Creek Challenge 2025
85 Boston College Win 11-10 1641.2 Mar 29th East Coast Invite 2025
80 Case Western Reserve Win 9-8 1687.39 Mar 29th East Coast Invite 2025
108 Columbia Win 15-8 2008.26 Mar 29th East Coast Invite 2025
55 Maryland Loss 10-11 1570.07 Mar 29th East Coast Invite 2025
53 William & Mary Win 14-11 2023.63 Mar 30th East Coast Invite 2025
55 Maryland Loss 8-10 1432.4 Mar 30th East Coast Invite 2025
99 Syracuse Win 10-5 2042.35 Mar 30th East Coast Invite 2025
182 Carleton University Win 15-8 1718 Apr 12th Western NY D I Mens Conferences 2025
146 SUNY-Binghamton Win 13-10 1611.75 Apr 12th Western NY D I Mens Conferences 2025
99 Syracuse Win 13-12 1593.46 Apr 12th Western NY D I Mens Conferences 2025
147 Toronto Win 15-1 1880.11 Apr 12th Western NY D I Mens Conferences 2025
115 RIT Win 12-8 1825.37 Apr 13th Western NY D I Mens Conferences 2025
30 Ottawa Win 13-8 2369.04 Apr 13th Western NY D I Mens Conferences 2025
325 Central Connecticut State** Win 15-3 1197.71 Ignored Apr 26th Metro East D I College Mens Regionals 2025
219 Princeton Win 15-8 1574.64 Apr 26th Metro East D I College Mens Regionals 2025
147 Toronto Win 15-10 1733.71 Apr 26th Metro East D I College Mens Regionals 2025
115 RIT Win 9-8 1509.22 Apr 27th Metro East D I College Mens Regionals 2025
99 Syracuse Win 14-9 1942.32 Apr 27th Metro East D I College Mens Regionals 2025
30 Ottawa Loss 8-15 1308.07 Apr 27th Metro East D I College Mens 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)