#15 Penn State (17-4)

avg: 1796.89  •  sd: 42.6  •  top 16/20: 97.1%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
76 Georgetown Win 15-9 1721.08 Jan 27th Carolina Kickoff 2024
21 North Carolina State Loss 12-14 1504.17 Jan 27th Carolina Kickoff 2024
124 Davidson Win 15-7 1531.22 Jan 27th Carolina Kickoff 2024
4 North Carolina Loss 12-15 1812.55 Jan 28th Carolina Kickoff 2024
44 Duke Win 12-9 1787.29 Jan 28th Carolina Kickoff 2024
25 North Carolina-Wilmington Win 14-9 2141.01 Jan 28th Carolina Kickoff 2024
114 Harvard** Win 15-2 1566.79 Ignored Feb 10th Queen City Tune Up 2024
80 Case Western Reserve Win 15-9 1704.56 Feb 10th Queen City Tune Up 2024
77 William & Mary Win 14-11 1518.41 Feb 10th Queen City Tune Up 2024
42 North Carolina-Charlotte Win 15-8 2032.05 Feb 10th Queen City Tune Up 2024
4 North Carolina Loss 9-15 1597.57 Feb 11th Queen City Tune Up 2024
21 North Carolina State Win 15-13 1939.31 Feb 11th Queen City Tune Up 2024
25 North Carolina-Wilmington Win 12-8 2108.3 Feb 11th Queen City Tune Up 2024
44 Duke Win 13-6 2041.92 Feb 24th Easterns Qualifier 2024
54 Alabama Win 13-6 1958.11 Feb 24th Easterns Qualifier 2024
65 Virginia Tech Win 13-5 1858.91 Feb 24th Easterns Qualifier 2024
67 Purdue Win 13-5 1853.76 Feb 24th Easterns Qualifier 2024
61 Auburn Win 13-8 1787.76 Feb 25th Easterns Qualifier 2024
71 Maryland Win 13-8 1732.01 Feb 25th Easterns Qualifier 2024
29 Ohio State Win 12-11 1720.06 Feb 25th Easterns Qualifier 2024
25 North Carolina-Wilmington Loss 11-12 1542.14 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)