#44 Tulane (11-6)

avg: 1541.68  •  sd: 44.54  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
132 Arkansas Win 12-3 1711.85 Feb 24th Mardi Gras XXXVI college
97 Florida State Win 8-7 1372.77 Feb 24th Mardi Gras XXXVI college
172 Texas-San Antonio Win 13-7 1497.83 Feb 24th Mardi Gras XXXVI college
110 Arizona State Win 11-8 1558.19 Feb 25th Mardi Gras XXXVI college
82 Central Florida Win 12-9 1682.64 Feb 25th Mardi Gras XXXVI college
87 Tennessee-Chattanooga Win 11-9 1559.19 Feb 25th Mardi Gras XXXVI college
43 California-San Diego Win 7-6 1687.26 Mar 2nd Stanford Invite 2024
79 Grand Canyon Win 9-7 1620.03 Mar 2nd Stanford Invite 2024
6 Oregon Loss 10-13 1781.12 Mar 2nd Stanford Invite 2024
115 Southern California Win 12-4 1784.79 Mar 2nd Stanford Invite 2024
40 Illinois Win 8-7 1704.68 Mar 3rd Stanford Invite 2024
65 Stanford Win 11-8 1770.54 Mar 3rd Stanford Invite 2024
19 Washington University Loss 8-12 1424.02 Mar 3rd Stanford Invite 2024
17 Brigham Young Loss 6-13 1275.44 Mar 16th College Mens Centex Tier 1
53 Colorado State Loss 7-8 1345.56 Mar 16th College Mens Centex Tier 1
48 Missouri Loss 10-13 1186.63 Mar 16th College Mens Centex Tier 1
47 Oklahoma Christian Loss 10-11 1395.17 Mar 16th College Mens Centex Tier 1
**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)