#44 The Buoy Association (19-7)

avg: 1474.01  •  sd: 58.01  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
207 Buffalo Brain Freeze Win 14-8 1015.65 Jul 8th AntlerLock
84 Buffalo Lake Effect Loss 9-12 784.85 Jul 8th AntlerLock
147 FLI** Win 10-4 1418.29 Ignored Jul 8th AntlerLock
168 Default** Win 15-4 1341.36 Ignored Jul 8th AntlerLock
163 Sunken Circus** Win 8-2 1371.74 Ignored Jul 9th AntlerLock
130 Zero Strategy Win 15-5 1491.48 Jul 9th AntlerLock
190 Rainbow** Win 15-4 1165.25 Ignored Aug 5th Vacationland
78 Deadweight Win 8-6 1462.13 Aug 5th Vacationland
158 Lobrid Win 14-7 1368.84 Aug 5th Vacationland
206 Quahogs** Win 15-5 1080.8 Ignored Aug 6th Vacationland
221 Replay** Win 15-4 958.97 Ignored Aug 6th Vacationland
163 Sunken Circus Win 15-10 1225.34 Aug 6th Vacationland
221 Replay** Win 13-2 958.97 Ignored Sep 9th 2023 Mixed East New England Sectional Championship
64 Obscure Win 11-10 1375.38 Sep 9th 2023 Mixed East New England Sectional Championship
6 Sprocket Loss 6-15 1324.96 Sep 9th 2023 Mixed East New England Sectional Championship
65 League of Shadows Win 13-7 1806.22 Sep 9th 2023 Mixed East New England Sectional Championship
47 Darkwing Win 14-13 1544.5 Sep 10th 2023 Mixed East New England Sectional Championship
65 League of Shadows Win 11-8 1614.3 Sep 10th 2023 Mixed East New England Sectional Championship
45 Wild Card Loss 11-13 1228.69 Sep 10th 2023 Mixed East New England Sectional Championship
78 Deadweight Win 13-7 1719.17 Sep 23rd 2023 Northeast Mixed Regional Championship
13 Slow Loss 9-14 1375.72 Sep 23rd 2023 Northeast Mixed Regional Championship
6 Sprocket Loss 10-12 1686.84 Sep 23rd 2023 Northeast Mixed Regional Championship
68 Heat Wave Win 15-9 1751.65 Sep 23rd 2023 Northeast Mixed Regional Championship
40 UNION Win 14-9 1965.72 Sep 24th 2023 Northeast Mixed Regional Championship
7 XIST Loss 6-15 1320.86 Sep 24th 2023 Northeast Mixed Regional Championship
45 Wild Card Loss 10-11 1332.53 Sep 24th 2023 Northeast Mixed Regional Championship
**Blowout Eligible

FAQ

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
  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
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)