#143 Wisconsin-Milwaukee (15-15)

avg: 1288.58  •  sd: 54.32  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
13 California** Loss 5-13 1503.63 Ignored Mar 8th Stanford Invite 2025 Mens
31 California-Santa Barbara Loss 5-13 1261.88 Mar 8th Stanford Invite 2025 Mens
23 Western Washington** Loss 4-13 1388.28 Ignored Mar 8th Stanford Invite 2025 Mens
104 British Columbia -B Win 13-10 1779.64 Mar 9th Stanford Invite 2025 Mens
121 Northwestern Loss 12-13 1238.35 Mar 9th Stanford Invite 2025 Mens
209 Cedarville Win 13-10 1359.54 Mar 15th Grand Rapids Invite 2025
61 Michigan State Loss 6-11 1111.94 Mar 15th Grand Rapids Invite 2025
178 Ohio Win 13-9 1585.31 Mar 15th Grand Rapids Invite 2025
15 Davenport Loss 9-15 1544.11 Mar 16th Grand Rapids Invite 2025
169 Michigan Tech Win 14-11 1517.34 Mar 16th Grand Rapids Invite 2025
79 Notre Dame Loss 6-11 1025.01 Mar 16th Grand Rapids Invite 2025
158 Grinnell Win 13-8 1730.15 Mar 29th Old Capitol Open 2025
274 St John's (Minnesota) Win 13-7 1346.4 Mar 29th Old Capitol Open 2025
266 Wisconsin-Platteville Win 12-10 1049.39 Mar 29th Old Capitol Open 2025
118 Colorado Mines Win 7-5 1700.8 Mar 30th Old Capitol Open 2025
110 Iowa Loss 8-11 1058.14 Mar 30th Old Capitol Open 2025
195 Minnesota-B Win 12-11 1208.86 Mar 30th Old Capitol Open 2025
423 Northern Michigan** Win 13-5 600 Ignored Apr 12th Lake Superior D I Mens Conferences 2025
44 Wisconsin Loss 3-15 1177.22 Apr 12th Lake Superior D I Mens Conferences 2025
135 Wisconsin-Eau Claire Win 12-11 1446.39 Apr 12th Lake Superior D I Mens Conferences 2025
208 Wisconsin-Whitewater Win 15-4 1634.01 Apr 12th Lake Superior D I Mens Conferences 2025
103 Marquette Loss 9-13 1034.7 Apr 13th Lake Superior D I Mens Conferences 2025
135 Wisconsin-Eau Claire Loss 13-15 1107.21 Apr 13th Lake Superior D I Mens Conferences 2025
208 Wisconsin-Whitewater Win 14-9 1507.88 Apr 13th Lake Superior D I Mens Conferences 2025
3 Carleton College** Loss 4-15 1764.7 Ignored Apr 26th North Central D I College Mens Regionals 2025
73 Iowa State Loss 10-15 1148.28 Apr 26th North Central D I College Mens Regionals 2025
174 Minnesota-Duluth Loss 11-15 799.47 Apr 26th North Central D I College Mens Regionals 2025
187 Nebraska Win 12-8 1560.05 Apr 26th North Central D I College Mens Regionals 2025
317 Minnesota-C Win 15-9 1131.65 Apr 27th North Central D I College Mens Regionals 2025
176 Northern Iowa Loss 10-13 842.69 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)