#79 Tulane (6-9)

avg: 1456.42  •  sd: 89.55  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
66 Penn State Win 11-7 2002.14 Feb 9th Queen City Tune Up 2019 Men
119 Clemson Loss 10-11 1158.55 Feb 9th Queen City Tune Up 2019 Men
47 Maryland Loss 4-12 1056.33 Feb 9th Queen City Tune Up 2019 Men
9 Massachusetts** Loss 2-13 1465.5 Ignored Feb 9th Queen City Tune Up 2019 Men
119 Clemson Win 7-6 1408.55 Feb 10th Queen City Tune Up 2019 Men
57 Carnegie Mellon Loss 11-12 1462.38 Feb 10th Queen City Tune Up 2019 Men
44 Virginia Loss 9-15 1155.93 Feb 10th Queen City Tune Up 2019 Men
55 Florida State Loss 4-15 1011.67 Mar 16th Tally Classic XIV
119 Clemson Loss 9-10 1158.55 Mar 16th Tally Classic XIV
43 Harvard Win 12-11 1797.28 Mar 16th Tally Classic XIV
103 Georgia State Win 13-3 1948.38 Mar 16th Tally Classic XIV
36 Alabama Win 12-10 1961.26 Mar 17th Tally Classic XIV
61 Tennessee Loss 7-13 996.66 Mar 17th Tally Classic XIV
86 Marquette Loss 6-7 1301.08 Mar 30th Huck Finn XXIII
111 Washington University Win 7-2 1913.46 Mar 30th Huck Finn XXIII
**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)