#32 Scoop (17-5)

avg: 1675.57  •  sd: 37.85  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
111 Regiment Win 13-2 1760.71 Jul 15th Boston Invite 2023
60 Switchback Win 13-11 1704.62 Jul 15th Boston Invite 2023
71 Big Wrench Win 9-8 1520.01 Jul 15th Boston Invite 2023
16 General Strike Loss 10-12 1698.48 Jul 15th Boston Invite 2023
169 MBTA** Win 15-4 1430.61 Ignored Aug 5th Vacationland
137 Expendables Win 15-8 1563.21 Aug 5th Vacationland
51 TireBizFriz Win 8-6 1852.99 Aug 5th Vacationland
109 Ascension Win 15-11 1549.94 Aug 6th Vacationland
62 Shade Win 15-12 1750.13 Aug 6th Vacationland
51 TireBizFriz Win 15-12 1852.99 Aug 6th Vacationland
163 Crossfire** Win 15-2 1459.38 Ignored Sep 9th 2023 Mens East New England Sectional Championship
133 BAG** Win 15-6 1634.3 Ignored Sep 9th 2023 Mens East New England Sectional Championship
43 Mystery Box Win 14-12 1818.49 Sep 9th 2023 Mens East New England Sectional Championship
79 Red Tide Win 13-12 1496.93 Sep 9th 2023 Mens East New England Sectional Championship
7 DiG Loss 9-15 1652.03 Sep 10th 2023 Mens East New England Sectional Championship
44 Red Circus Win 13-11 1814.68 Sep 10th 2023 Mens East New England Sectional Championship
44 Red Circus Loss 11-13 1357 Sep 23rd 2023 Northeast Mens Regional Championship
43 Mystery Box Win 13-12 1722.54 Sep 23rd 2023 Northeast Mens Regional Championship
23 Mephisto Win 13-12 1907.97 Sep 23rd 2023 Northeast Mens Regional Championship
2 PoNY Loss 8-15 1769.13 Sep 23rd 2023 Northeast Mens Regional Championship
26 Sprout Loss 9-15 1230.28 Sep 24th 2023 Northeast Mens Regional Championship
44 Red Circus Win 15-12 1886.33 Sep 24th 2023 Northeast Mens 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)