#44 Wisconsin (21-12)

avg: 1777.22  •  sd: 62.91  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
18 Georgia Loss 9-12 1693.48 Jan 31st Florida Warm Up 2025
52 Purdue Win 13-6 2314.07 Jan 31st Florida Warm Up 2025
90 Texas A&M Win 13-8 1992.6 Jan 31st Florida Warm Up 2025
126 Central Florida Win 13-8 1842.64 Feb 1st Florida Warm Up 2025
52 Purdue Win 13-8 2210.23 Feb 1st Florida Warm Up 2025
20 Vermont Loss 8-13 1532.32 Feb 1st Florida Warm Up 2025
17 Brown Loss 9-13 1636.69 Feb 2nd Florida Warm Up 2025
27 Minnesota Win 11-9 2140.99 Feb 2nd Florida Warm Up 2025
49 Chicago Loss 8-12 1307.49 Mar 15th Mens Centex 2025
70 Dartmouth Win 8-7 1743.5 Mar 15th Mens Centex 2025
36 Middlebury Win 13-9 2237.54 Mar 15th Mens Centex 2025
19 Tufts Loss 8-11 1664.92 Mar 15th Mens Centex 2025
49 Chicago Win 15-10 2202.25 Mar 16th Mens Centex 2025
14 Texas Loss 10-15 1611.49 Mar 16th Mens Centex 2025
24 Utah Valley Win 15-11 2350.03 Mar 16th Mens Centex 2025
7 Brigham Young Loss 9-15 1730.69 Mar 22nd Northwest Challenge 2025 mens
31 California-Santa Barbara Loss 10-14 1463.18 Mar 22nd Northwest Challenge 2025 mens
138 Gonzaga Win 15-11 1694.37 Mar 22nd Northwest Challenge 2025 mens
32 Utah State Loss 14-15 1727.16 Mar 22nd Northwest Challenge 2025 mens
41 California-San Diego Loss 11-15 1411.15 Mar 23rd Northwest Challenge 2025 mens
138 Gonzaga Win 11-3 1913.2 Mar 23rd Northwest Challenge 2025 mens
28 Virginia Loss 8-15 1317.27 Mar 23rd Northwest Challenge 2025 mens
423 Northern Michigan** Win 15-1 600 Ignored Apr 12th Lake Superior D I Mens Conferences 2025
208 Wisconsin-Whitewater Win 13-9 1452.58 Apr 12th Lake Superior D I Mens Conferences 2025
143 Wisconsin-Milwaukee Win 15-3 1888.58 Apr 12th Lake Superior D I Mens Conferences 2025
300 Wisconsin-Stevens Point** Win 15-3 1281.61 Ignored Apr 12th Lake Superior D I Mens Conferences 2025
103 Marquette Win 15-7 2053.26 Apr 13th Lake Superior D I Mens Conferences 2025
155 Wisconsin-La Crosse Win 15-4 1852.87 Apr 13th Lake Superior D I Mens Conferences 2025
103 Marquette Win 15-10 1906.87 Apr 26th North Central D I College Mens Regionals 2025
222 Wisconsin-B** Win 15-4 1589.96 Ignored Apr 26th North Central D I College Mens Regionals 2025
208 Wisconsin-Whitewater** Win 15-3 1634.01 Ignored Apr 26th North Central D I College Mens Regionals 2025
73 Iowa State Win 15-13 1816.07 Apr 27th North Central D I College Mens Regionals 2025
27 Minnesota Loss 8-15 1326.97 Apr 27th North Central D I College 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)