#128 Colorado College (9-10)

avg: 1136  •  sd: 75.79  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
178 Brigham Young-B Win 15-8 1477.7 Mar 1st Snow Melt 2024
263 Colorado-C Win 13-4 1143.59 Mar 2nd Snow Melt 2024
327 Denver-B** Win 13-0 789.75 Ignored Mar 2nd Snow Melt 2024
135 Kansas Win 10-4 1707.24 Mar 2nd Snow Melt 2024
109 Denver Loss 7-11 729.95 Mar 2nd Snow Melt 2024
93 Colorado-B Loss 6-15 666.1 Mar 3rd Snow Melt 2024
135 Kansas Win 12-11 1232.24 Mar 3rd Snow Melt 2024
17 Brigham Young** Loss 4-13 1275.44 Ignored Mar 16th College Mens Centex Tier 1
139 LSU Win 13-9 1503.17 Mar 16th College Mens Centex Tier 1
37 Texas A&M Loss 9-12 1245.57 Mar 16th College Mens Centex Tier 1
55 Michigan State Loss 6-7 1340.76 Mar 16th College Mens Centex Tier 1
121 Iowa State Win 12-7 1675.57 Mar 17th College Mens Centex Tier 1
20 Northeastern Loss 7-13 1272.79 Mar 17th College Mens Centex Tier 1
83 Northwestern Loss 6-13 735.48 Mar 30th Huck Finn 2024
117 Vanderbilt Win 7-6 1304.97 Mar 30th Huck Finn 2024
108 Wisconsin-Milwaukee Loss 6-10 703.54 Mar 30th Huck Finn 2024
132 Arkansas Loss 7-10 722.19 Mar 31st Huck Finn 2024
204 Ohio Win 12-9 1154.96 Mar 31st Huck Finn 2024
88 Kentucky Loss 7-10 912.76 Mar 31st Huck Finn 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)