#84 Macalester (9-5)

avg: 1432.7  •  sd: 94.53  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
109 Arkansas Win 12-5 1838.62 Mar 1st Midwest Throwdown 2025
83 Illinois Win 8-6 1739.54 Mar 1st Midwest Throwdown 2025
236 Northwestern-B** Win 12-0 812.13 Ignored Mar 1st Midwest Throwdown 2025
94 Wisconsin-Eau Claire Win 10-4 1943.8 Mar 1st Midwest Throwdown 2025
123 Northwestern Win 13-6 1742.51 Mar 2nd Midwest Throwdown 2025
45 Missouri Loss 7-12 1307.37 Mar 2nd Midwest Throwdown 2025
66 St Olaf Loss 6-10 1127.63 Mar 2nd Midwest Throwdown 2025
200 Grinnell** Win 13-3 1171.82 Ignored Mar 29th Old Capitol Open 2025
128 Saint Louis Win 9-8 1235.83 Mar 29th Old Capitol Open 2025
223 Minnesota-Duluth** Win 11-4 965.82 Ignored Mar 29th Old Capitol Open 2025
60 Purdue Loss 6-8 1357.03 Mar 29th Old Capitol Open 2025
75 Chicago Loss 2-7 917.69 Mar 30th Old Capitol Open 2025
128 Saint Louis Win 7-5 1438.97 Mar 30th Old Capitol Open 2025
94 Wisconsin-Eau Claire Loss 6-7 1218.8 Mar 30th Old Capitol Open 2025
**Blowout Eligible

FAQ

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
  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
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)