#38 UNION (15-1)

avg: 1546.69  •  sd: 81.52  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
103 Bench Loss 8-9 925.4 Jun 11th Rochester Round Robin
207 Buffalo Brain Freeze** Win 11-3 1076.39 Ignored Jun 11th Rochester Round Robin
83 Buffalo Lake Effect Win 13-4 1760.64 Jun 11th Rochester Round Robin
220 Compost Plates** Win 13-4 987.94 Ignored Jun 11th Rochester Round Robin
72 Townies Win 13-9 1654.6 Jun 11th Rochester Round Robin
136 Toast!** Win 13-2 1479.34 Ignored Jul 8th Heavyweights 2023
121 Jabba Win 13-8 1481.03 Jul 8th Heavyweights 2023
209 Mastodon** Win 13-1 1062.95 Ignored Jul 8th Heavyweights 2023
144 Point of No Return Win 13-9 1265.47 Jul 9th Heavyweights 2023
50 Steamboat Win 12-10 1628.62 Jul 9th Heavyweights 2023
111 Bird Win 12-9 1367.89 Jul 9th Heavyweights 2023
103 Bench Win 11-5 1650.4 Sep 9th 2023 Mixed Upstate New York Sectional Championship
83 Buffalo Lake Effect Win 13-7 1718.17 Sep 9th 2023 Mixed Upstate New York Sectional Championship
220 Compost Plates** Win 13-1 987.94 Ignored Sep 9th 2023 Mixed Upstate New York Sectional Championship
120 Mashed Win 13-3 1588.8 Sep 9th 2023 Mixed Upstate New York Sectional Championship
58 Garbage Plates Win 13-10 1645.47 Sep 10th 2023 Mixed Upstate New York Sectional Championship
**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)