#102 Davenport (11-6)

avg: 1217.27  •  sd: 82.63  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
116 Liberty Loss 8-12 741.8 Feb 17th Commonwealth Cup Weekend 1 2024
238 Wake Forest Win 13-4 1275.13 Feb 17th Commonwealth Cup Weekend 1 2024
77 Cedarville Loss 11-12 1230.5 Feb 18th Commonwealth Cup Weekend 1 2024
144 Pittsburgh-B Loss 8-9 937.02 Feb 18th Commonwealth Cup Weekend 1 2024
199 Messiah Loss 10-12 594.12 Feb 18th Commonwealth Cup Weekend 1 2024
259 Wisconsin-B** Win 13-3 1160.43 Ignored Mar 16th Grand Rapids College Invite
155 Grace Win 13-4 1622.24 Mar 16th Grand Rapids College Invite
294 Toledo** Win 13-4 987.55 Ignored Mar 16th Grand Rapids College Invite
309 DePaul** Win 13-0 913.87 Ignored Mar 17th Grand Rapids College Invite
114 Grand Valley Win 11-6 1735.19 Mar 17th Grand Rapids College Invite
42 Michigan Loss 8-10 1303.75 Mar 17th Grand Rapids College Invite
317 Washington University-B** Win 12-3 870.22 Ignored Mar 30th Old Capitol Open 2024
229 Northern Iowa Win 10-9 840.79 Mar 30th Old Capitol Open 2024
195 Grinnell Win 12-6 1425.37 Mar 30th Old Capitol Open 2024
69 Colorado Mines Win 10-7 1759.07 Mar 31st Old Capitol Open 2024
81 Iowa Loss 6-9 919.04 Mar 31st Old Capitol Open 2024
145 Southern Illinois-Edwardsville Win 11-10 1185.42 Mar 31st Old Capitol Open 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)