#52 Purdue (18-13)

avg: 1714.07  •  sd: 58.53  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
7 Brigham Young Loss 7-13 1688.63 Jan 31st Florida Warm Up 2025
50 Tulane Win 10-7 2118.78 Jan 31st Florida Warm Up 2025
44 Wisconsin Loss 6-13 1177.22 Jan 31st Florida Warm Up 2025
29 Pittsburgh Loss 6-13 1278.81 Feb 1st Florida Warm Up 2025
144 South Florida Win 13-5 1888.53 Feb 1st Florida Warm Up 2025
44 Wisconsin Loss 8-13 1281.06 Feb 1st Florida Warm Up 2025
32 Utah State Loss 12-13 1727.16 Feb 2nd Florida Warm Up 2025
90 Texas A&M Loss 5-9 967.38 Feb 2nd Florida Warm Up 2025
59 James Madison Win 13-12 1794.73 Feb 15th Queen City Tune Up 2025
62 North Carolina State Loss 8-13 1155.17 Feb 15th Queen City Tune Up 2025
22 Penn State Loss 9-13 1574.39 Feb 15th Queen City Tune Up 2025
88 Carnegie Mellon Win 10-7 1896.24 Feb 16th Queen City Tune Up 2025
48 North Carolina-Wilmington Win 9-8 1876.95 Feb 16th Queen City Tune Up 2025
117 Mississippi State Win 13-6 1975.25 Mar 29th Huck Finn 2025
121 Northwestern Win 15-8 1928.16 Mar 29th Huck Finn 2025
57 Oklahoma Christian Win 11-9 1922.54 Mar 29th Huck Finn 2025
72 St Olaf Win 13-8 2102.55 Mar 29th Huck Finn 2025
42 Colorado State Win 12-9 2130.12 Mar 30th Huck Finn 2025
79 Notre Dame Win 11-9 1820.91 Mar 30th Huck Finn 2025
12 Washington University Loss 11-13 1875.46 Mar 30th Huck Finn 2025
292 Ball State Win 13-6 1330.42 Apr 12th East Plains D I Mens Conferences 2025
56 Indiana Loss 12-13 1553.9 Apr 12th East Plains D I Mens Conferences 2025
153 Kentucky Win 13-3 1865.58 Apr 12th East Plains D I Mens Conferences 2025
79 Notre Dame Loss 12-13 1446.71 Apr 12th East Plains D I Mens Conferences 2025
148 Grand Valley Win 13-7 1837.27 Apr 26th Great Lakes D I Mens Regionals 2025
58 Illinois Loss 10-13 1344.8 Apr 26th Great Lakes D I Mens Regionals 2025
256 Illinois-B Win 13-6 1460.82 Apr 26th Great Lakes D I Mens Regionals 2025
153 Kentucky Win 15-8 1830.39 Apr 26th Great Lakes D I Mens Regionals 2025
49 Chicago Win 15-8 2313.46 Apr 27th Great Lakes D I Mens Regionals 2025
56 Indiana Loss 10-12 1440.78 Apr 27th Great Lakes D I Mens Regionals 2025
121 Northwestern Win 15-9 1878.84 Apr 27th Great Lakes D I Mens Regionals 2025
**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)