#72 Colorado College (12-6)

avg: 1556.22  •  sd: 97.47  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
35 Carleton College-Eclipse Loss 4-11 1351.89 Feb 8th DIII Grand Prix 2025
61 Lewis & Clark Loss 6-8 1355.94 Feb 8th DIII Grand Prix 2025
54 Oregon State Loss 6-10 1219.29 Feb 8th DIII Grand Prix 2025
65 Portland Loss 10-12 1388.78 Feb 8th DIII Grand Prix 2025
122 Claremont Win 13-2 1750.79 Feb 9th DIII Grand Prix 2025
121 Puget Sound Win 13-1 1771.73 Feb 9th DIII Grand Prix 2025
44 Whitman Win 13-9 2249.48 Feb 9th DIII Grand Prix 2025
162 Arizona** Win 15-5 1454.59 Ignored Mar 1st Snow Melt 2025
115 Arizona State Win 12-5 1796.04 Mar 1st Snow Melt 2025
175 Colorado-B** Win 15-0 1379.62 Ignored Mar 1st Snow Melt 2025
244 Colorado College-B** Win 15-0 600 Ignored Mar 2nd Snow Melt 2025
98 Denver Win 15-5 1923.68 Mar 2nd Snow Melt 2025
147 Boston University Win 13-5 1579.99 Mar 22nd Womens Centex 2025
238 Texas-B** Win 13-2 681.59 Ignored Mar 22nd Womens Centex 2025
25 UCLA Loss 4-10 1533.45 Mar 22nd Womens Centex 2025
93 Rice Loss 10-14 946.92 Mar 22nd Womens Centex 2025
136 Trinity Win 11-7 1502.77 Mar 23rd Womens Centex 2025
89 San Diego State Win 9-8 1520.48 Mar 23rd Womens Centex 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)