#40 UNION (17-5)

avg: 1491.86  •  sd: 66.38  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
96 Bench Loss 8-9 942.59 Jun 11th Rochester Round Robin
207 Buffalo Brain Freeze** Win 11-3 1079.62 Ignored Jun 11th Rochester Round Robin
84 Buffalo Lake Effect Win 13-4 1730.22 Jun 11th Rochester Round Robin
217 Compost Plates** Win 13-4 1002.26 Ignored Jun 11th Rochester Round Robin
48 Townies Win 13-9 1821.43 Jun 11th Rochester Round Robin
150 Toast!** Win 13-2 1403.62 Ignored Jul 8th Heavyweights 2023
116 Jabba Win 13-8 1488.35 Jul 8th Heavyweights 2023
209 Mastodon** Win 13-1 1063.36 Ignored Jul 8th Heavyweights 2023
135 Point of No Return Win 13-9 1280.08 Jul 9th Heavyweights 2023
57 Steamboat Win 12-10 1577.53 Jul 9th Heavyweights 2023
103 Bird Win 12-9 1382.9 Jul 9th Heavyweights 2023
96 Bench Win 11-5 1667.59 Sep 9th 2023 Mixed Upstate New York Sectional Championship
84 Buffalo Lake Effect Win 13-7 1687.75 Sep 9th 2023 Mixed Upstate New York Sectional Championship
217 Compost Plates** Win 13-1 1002.26 Ignored Sep 9th 2023 Mixed Upstate New York Sectional Championship
119 Mashed Win 13-3 1583.99 Sep 9th 2023 Mixed Upstate New York Sectional Championship
55 Garbage Plates Win 13-10 1670.41 Sep 10th 2023 Mixed Upstate New York Sectional Championship
6 Sprocket Loss 10-14 1526.26 Sep 23rd 2023 Northeast Mixed Regional Championship
84 Buffalo Lake Effect Win 13-8 1626.38 Sep 23rd 2023 Northeast Mixed Regional Championship
48 Townies Loss 11-13 1174.02 Sep 23rd 2023 Northeast Mixed Regional Championship
45 Wild Card Win 13-8 1953.69 Sep 23rd 2023 Northeast Mixed Regional Championship
55 Garbage Plates Loss 12-13 1217.27 Sep 24th 2023 Northeast Mixed Regional Championship
44 The Buoy Association Loss 9-14 1000.15 Sep 24th 2023 Northeast Mixed Regional 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)