#117 Northwestern (10-19)

avg: 939.88  •  sd: 67.64  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
29 Georgia** Loss 2-13 1126.12 Ignored Feb 15th Queen City Tune Up 2025
11 Michigan** Loss 0-13 1513.92 Ignored Feb 15th Queen City Tune Up 2025
69 North Carolina State Loss 4-13 694.32 Feb 15th Queen City Tune Up 2025
108 Alabama-Huntsville Loss 3-6 477.16 Feb 16th Queen City Tune Up 2025
126 North Carolina-Wilmington Win 6-4 1212.9 Feb 16th Queen City Tune Up 2025
28 Missouri** Loss 3-8 1131.99 Ignored Mar 1st Midwest Throwdown 2025
55 St Olaf Loss 3-7 841.22 Mar 1st Midwest Throwdown 2025
43 Washington University** Loss 4-11 960.35 Ignored Mar 1st Midwest Throwdown 2025
98 Wisconsin-Eau Claire Win 11-6 1632.47 Mar 1st Midwest Throwdown 2025
101 Macalester Loss 6-13 454.48 Mar 2nd Midwest Throwdown 2025
87 Michigan Tech Win 10-4 1733.92 Mar 2nd Midwest Throwdown 2025
92 Iowa State Loss 10-11 986.73 Mar 29th Old Capitol Open 2025
110 Michigan State Loss 9-11 756.82 Mar 29th Old Capitol Open 2025
216 Wisconsin-Milwaukee** Win 13-3 860.38 Ignored Mar 29th Old Capitol Open 2025
128 Winona State Win 8-7 969.6 Mar 29th Old Capitol Open 2025
72 Purdue Loss 4-8 696.13 Mar 30th Old Capitol Open 2025
98 Wisconsin-Eau Claire Loss 3-10 485.78 Mar 30th Old Capitol Open 2025
140 Saint Louis Loss 4-7 241.37 Mar 30th Old Capitol Open 2025
63 Chicago Loss 5-8 890.84 Apr 12th Illinois D I Womens Conferences 2025
66 Illinois Loss 5-13 708.53 Apr 12th Illinois D I Womens Conferences 2025
120 Loyola-Chicago Win 6-5 1053.79 Apr 12th Illinois D I Womens Conferences 2025
253 Northwestern-B** Win 13-0 508.95 Ignored Apr 12th Illinois D I Womens Conferences 2025
63 Chicago Loss 7-8 1219.44 Apr 26th Great Lakes D I Womens Regionals 2025
180 Michigan-B Win 9-4 1142.67 Apr 26th Great Lakes D I Womens Regionals 2025
72 Purdue Loss 6-7 1135.94 Apr 26th Great Lakes D I Womens Regionals 2025
246 Notre Dame-B** Win 13-0 620.99 Ignored Apr 26th Great Lakes D I Womens Regionals 2025
11 Michigan** Loss 1-13 1513.92 Ignored Apr 27th Great Lakes D I Womens Regionals 2025
110 Michigan State Win 11-9 1255.24 Apr 27th Great Lakes D I Womens Regionals 2025
72 Purdue Loss 8-11 895.33 Apr 27th Great Lakes D I Womens 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)