#193 Grinnell (8-11)

avg: 1154.63  •  sd: 58.92  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
353 Carleton College-Karls-C** Win 13-2 1094.35 Ignored Mar 2nd Midwest Throwdown 2024
320 Washington University-B Win 13-2 1251.34 Mar 2nd Midwest Throwdown 2024
94 Wisconsin-Eau Claire Loss 5-12 934.71 Mar 2nd Midwest Throwdown 2024
107 Iowa State Loss 8-9 1351.13 Mar 2nd Midwest Throwdown 2024
185 Minnesota-Duluth Loss 6-7 1052.59 Mar 3rd Midwest Throwdown 2024
161 Saint Louis Loss 6-9 864.91 Mar 3rd Midwest Throwdown 2024
143 Truman State Loss 6-9 918.49 Mar 3rd Midwest Throwdown 2024
110 Davenport Loss 6-12 888.26 Mar 30th Old Capitol Open 2024
400 Iowa-B** Win 13-0 642.04 Ignored Mar 30th Old Capitol Open 2024
49 Michigan State** Loss 3-11 1178.48 Ignored Mar 30th Old Capitol Open 2024
237 Carthage Win 12-7 1510.16 Mar 31st Old Capitol Open 2024
184 Wisconsin-La Crosse Loss 5-6 1061.43 Mar 31st Old Capitol Open 2024
200 Northern Iowa Win 9-4 1721.31 Mar 31st Old Capitol Open 2024
304 Luther College Win 15-7 1294.97 Apr 13th West Plains D III Mens Conferences 2024
78 Carleton College-CHOP Loss 10-14 1205.53 Apr 27th North Central D III College Mens Regionals 2024
129 Michigan Tech Loss 9-12 1036.68 Apr 27th North Central D III College Mens Regionals 2024
304 Luther College Win 11-9 944.18 Apr 27th North Central D III College Mens Regionals 2024
278 St Thomas Win 15-5 1441.12 Apr 28th North Central D III College Mens Regionals 2024
134 Macalester Loss 8-12 930.96 Apr 28th North Central D III College Mens Regionals 2024
**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)