#414 Wisconsin-Milwaukee-B (1-11)

avg: -464.77  •  sd: 203.1  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
237 Carthage** Loss 4-13 389.65 Ignored Mar 24th Meltdown mini tournament
362 Concordia-Wisconsin Loss 7-13 -119.42 Mar 24th Meltdown mini tournament
270 Wisconsin-Platteville** Loss 0-13 260.27 Ignored Mar 24th Meltdown mini tournament
101 Colorado Mines** Loss 0-13 912.08 Ignored Mar 30th Old Capitol Open 2024
368 Iowa State-B** Loss 3-9 -199.34 Ignored Mar 30th Old Capitol Open 2024
122 Minnesota-B** Loss 0-13 800.63 Ignored Mar 30th Old Capitol Open 2024
373 Northwestern-B** Loss 3-9 -267.58 Ignored Mar 30th Old Capitol Open 2024
400 Iowa-B Loss 3-11 -557.96 Mar 31st Old Capitol Open 2024
299 Minnesota-C** Loss 4-15 118.6 Ignored Apr 13th North Central Dev Mens Conferences 2024
413 Marquette-B Loss 4-12 -1019.85 Apr 13th North Central Dev Mens Conferences 2024
400 Iowa-B Loss 5-13 -557.96 Apr 14th North Central Dev Mens Conferences 2024
413 Marquette-B Win 7-4 76.31 Apr 14th North Central Dev Mens 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)