#206 Sky Hook (7-16)

avg: 427.12  •  sd: 51.76  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
224 Fusion Loss 8-11 -122.01 Jul 13th Ow My Knee
220 Genny Lite Win 11-9 529.6 Jul 13th Ow My Knee
181 Helots Loss 9-13 163.84 Jul 13th Ow My Knee
139 Overcast Loss 7-11 375.57 Jul 13th Ow My Knee
87 Magma Bears** Loss 3-13 505.39 Ignored Aug 10th Nuccis Cup 2019
211 Bearproof Win 10-8 654.16 Aug 10th Nuccis Cup 2019
101 John Doe** Loss 5-13 435.62 Ignored Aug 10th Nuccis Cup 2019
131 Slag Dump Loss 10-13 563.31 Aug 10th Nuccis Cup 2019
211 Bearproof Loss 13-15 177.32 Aug 11th Nuccis Cup 2019
151 Watchdogs Loss 13-15 562.32 Aug 11th Nuccis Cup 2019
92 Town Hall Stars Loss 6-13 491.11 Aug 24th The Incident 2019 Age of Ultimatron
44 Shade** Loss 4-12 809.19 Ignored Aug 24th The Incident 2019 Age of Ultimatron
200 NEO Loss 9-12 110.54 Aug 24th The Incident 2019 Age of Ultimatron
129 JAWN Loss 4-13 302.71 Aug 24th The Incident 2019 Age of Ultimatron
232 Bees Win 13-5 703.93 Aug 25th The Incident 2019 Age of Ultimatron
241 defunCT Win 10-4 438.58 Aug 25th The Incident 2019 Age of Ultimatron
209 Black Knights Win 13-12 525.51 Sep 7th Metro New York Mens Club Sectional Championship 2019
35 Blueprint** Loss 6-15 877.19 Ignored Sep 7th Metro New York Mens Club Sectional Championship 2019
237 Stuyvesant Sticky Fingers Alumni Win 13-3 549.52 Sep 7th Metro New York Mens Club Sectional Championship 2019
44 Shade** Loss 5-13 809.19 Ignored Sep 7th Metro New York Mens Club Sectional Championship 2019
87 Magma Bears** Loss 4-15 505.39 Ignored Sep 8th Metro New York Mens Club Sectional Championship 2019
121 Genny The Boys Loss 4-15 329.67 Sep 8th Metro New York Mens Club Sectional Championship 2019
204 Spring Break '93 Win 12-10 670.41 Sep 8th Metro New York Mens Club Sectional Championship 2019
**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)