#219 Arizona (7-8)

avg: 1052.48  •  sd: 78.48  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
100 Colorado-B Loss 5-13 913.43 Jan 27th New Year Fest 40
180 Brigham Young-B Win 9-7 1474.28 Jan 27th New Year Fest 40
156 Denver Loss 7-12 775.7 Jan 27th New Year Fest 40
137 Kansas Loss 10-13 1037.21 Jan 27th New Year Fest 40
350 Arizona State-B Win 11-10 636.42 Jan 28th New Year Fest 40
381 Denver-B** Win 9-3 887.78 Ignored Jan 28th New Year Fest 40
221 California-B Win 9-8 1173.92 Mar 30th 2024 Sinvite
235 Claremont Win 10-3 1595.21 Mar 30th 2024 Sinvite
334 California-Santa Barbara-B Win 12-7 1101.9 Mar 30th 2024 Sinvite
133 Arizona State Loss 4-7 878.93 Mar 30th 2024 Sinvite
255 Cal State-Long Beach Loss 7-9 643.45 Mar 31st 2024 Sinvite
221 California-B Loss 4-7 552.76 Mar 31st 2024 Sinvite
71 Grand Canyon Loss 11-15 1248.41 Apr 14th Desert D I Mens Conferences 2024
247 Northern Arizona Win 13-9 1383.77 Apr 14th Desert D I Mens Conferences 2024
133 Arizona State Loss 7-10 985.43 Apr 14th Desert D I 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)