#48 Colorado College (18-7)

avg: 1613.36  •  sd: 70.29  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
37 Carleton College-Eclipse Win 10-8 2012.08 Feb 10th DIII Grand Prix
46 Whitman Loss 6-13 1040.31 Feb 10th DIII Grand Prix
43 Portland Loss 6-9 1243.03 Feb 10th DIII Grand Prix
154 Oregon State** Win 13-2 1459.31 Ignored Feb 10th DIII Grand Prix
37 Carleton College-Eclipse Loss 5-6 1624.41 Feb 11th DIII Grand Prix
118 Puget Sound Win 10-2 1710.05 Feb 11th DIII Grand Prix
75 Lewis & Clark Win 8-6 1675.57 Feb 11th DIII Grand Prix
210 Air Force** Win 13-0 932.42 Ignored Mar 2nd Snow Melt 2024
169 Colorado-B** Win 13-2 1372.75 Ignored Mar 2nd Snow Melt 2024
143 John Brown** Win 10-1 1519.46 Ignored Mar 2nd Snow Melt 2024
115 Denver Win 15-5 1719.61 Mar 3rd Snow Melt 2024
32 Central Florida Loss 9-11 1567.98 Mar 16th Womens Centex 2024
196 Texas-San Antonio** Win 13-3 1086.27 Ignored Mar 16th Womens Centex 2024
149 Texas A&M** Win 13-1 1477.51 Ignored Mar 16th Womens Centex 2024
115 Denver Win 13-6 1719.61 Mar 16th Womens Centex 2024
66 Trinity Win 11-7 1923.01 Mar 16th Womens Centex 2024
47 Southern California Loss 9-11 1387.46 Mar 17th Womens Centex 2024
92 Middlebury Loss 7-8 1179.95 Mar 17th Womens Centex 2024
93 Rice Win 13-2 1881.27 Apr 13th South Central D III Womens Conferences 2024
66 Trinity Loss 5-7 1127.97 Apr 13th South Central D III Womens Conferences 2024
133 Truman State** Win 10-3 1581.98 Ignored Apr 13th South Central D III Womens Conferences 2024
223 Colorado College-B** Win 11-0 826.21 Ignored Apr 13th South Central D III Womens Conferences 2024
143 John Brown Win 8-5 1373.07 Apr 14th South Central D III Womens Conferences 2024
93 Rice Win 10-5 1855.17 Apr 14th South Central D III Womens Conferences 2024
66 Trinity Win 13-4 2056.11 Apr 14th South Central D III Womens Conferences 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)