#88 Notre Dame (4-10)

avg: 1112.7  •  sd: 68.67  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
72 James Madison Loss 13-14 1104.16 Feb 10th Queen City Tune Up 2024
21 North Carolina State** Loss 5-15 1125.13 Ignored Feb 10th Queen City Tune Up 2024
100 Appalachian State Win 13-10 1354.89 Feb 10th Queen City Tune Up 2024
29 Ohio State Loss 3-15 995.06 Feb 10th Queen City Tune Up 2024
74 Indiana Loss 8-13 715.81 Feb 11th Queen City Tune Up 2024
80 Case Western Reserve Loss 12-15 888.58 Feb 11th Queen City Tune Up 2024
31 Georgia Tech Win 11-10 1691.94 Feb 24th Easterns Qualifier 2024
58 Virginia Loss 11-13 1101.73 Feb 24th Easterns Qualifier 2024
122 Lehigh Win 13-8 1438.08 Feb 24th Easterns Qualifier 2024
42 North Carolina-Charlotte Loss 5-13 867.24 Feb 24th Easterns Qualifier 2024
114 Harvard Win 12-9 1312.15 Feb 25th Easterns Qualifier 2024
68 Cincinnati Loss 12-15 949.66 Feb 25th Easterns Qualifier 2024
63 Temple Loss 11-12 1150.4 Feb 25th Easterns Qualifier 2024
65 Virginia Tech Loss 9-13 840.35 Feb 25th Easterns Qualifier 2024
**Blowout Eligible

FAQ

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
  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
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)