#22 Notre Dame (12-6)

avg: 2055.17  •  sd: 90.49  •  top 16/20: 43.2%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
97 Appalachian State** Win 15-2 1820.34 Ignored Feb 10th Queen City Tune Up 2024
3 Carleton College** Loss 6-15 2106.55 Ignored Feb 10th Queen City Tune Up 2024
25 Pittsburgh Loss 10-11 1837.92 Feb 10th Queen City Tune Up 2024
37 Washington University Win 13-12 1893.65 Feb 10th Queen City Tune Up 2024
38 South Carolina Win 14-11 2076.46 Feb 11th Queen City Tune Up 2024
4 North Carolina Loss 6-10 2126.25 Feb 11th Queen City Tune Up 2024
16 Georgia Loss 13-15 1940.57 Feb 24th Commonwealth Cup Weekend 2 2024
7 Tufts Loss 7-15 1920.18 Feb 24th Commonwealth Cup Weekend 2 2024
39 Virginia Win 15-8 2303.7 Feb 24th Commonwealth Cup Weekend 2 2024
90 Carnegie Mellon** Win 13-1 1890.85 Ignored Feb 25th Commonwealth Cup Weekend 2 2024
12 Michigan Loss 7-10 1921.94 Feb 25th Commonwealth Cup Weekend 2 2024
25 Pittsburgh Win 11-5 2562.92 Feb 25th Commonwealth Cup Weekend 2 2024
17 Pennsylvania Win 10-7 2514.37 Feb 25th Commonwealth Cup Weekend 2 2024
156 Clemson** Win 12-3 1322.32 Ignored Mar 16th Tally Classic XVIII
56 Florida Win 9-5 2078.31 Mar 16th Tally Classic XVIII
184 Jacksonville State** Win 13-3 1022.56 Ignored Mar 16th Tally Classic XVIII
56 Florida Win 14-4 2149.25 Mar 17th Tally Classic XVIII
136 Florida State Win 15-7 1510.04 Mar 17th Tally Classic XVIII
**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)