#112 Genny The Boys (13-8)

avg: 971.58  •  sd: 52.95  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
189 Watch City Win 15-6 1130.14 Jun 22nd Boston Invite 2019
181 Helots Win 14-4 1172.86 Jun 22nd Boston Invite 2019
206 Spring Break '93 Win 13-5 1027.19 Jun 22nd Boston Invite 2019
143 Shrike Win 13-11 1035.92 Jun 22nd Boston Invite 2019
57 Red Circus Loss 11-12 1157.69 Jun 23rd Boston Invite 2019
148 Overcast Win 13-6 1377.22 Jun 23rd Boston Invite 2019
241 defunCT** Win 13-2 436.29 Ignored Aug 24th The Incident 2019 Age of Ultimatron
178 Bomb Squad Win 13-8 1118.77 Aug 24th The Incident 2019 Age of Ultimatron
159 Ender's Outcasts Win 13-3 1336.52 Aug 24th The Incident 2019 Age of Ultimatron
44 Lantern Loss 8-13 883.19 Aug 24th The Incident 2019 Age of Ultimatron
77 Log Jam Loss 8-11 788.82 Aug 25th The Incident 2019 Age of Ultimatron
98 Town Hall Stars Win 12-10 1295.16 Aug 25th The Incident 2019 Age of Ultimatron
132 JAWN Win 7-6 1011.57 Aug 25th The Incident 2019 Age of Ultimatron
50 Colt Loss 7-11 877.98 Sep 7th Metro New York Mens Club Sectional Championship 2019
- White Sauce Hot Sauce Loss 11-12 528.42 Sep 7th Metro New York Mens Club Sectional Championship 2019
206 Spring Break '93 Win 11-9 676.39 Sep 7th Metro New York Mens Club Sectional Championship 2019
77 Log Jam Loss 8-11 788.82 Sep 7th Metro New York Mens Club Sectional Championship 2019
50 Colt Loss 7-14 761.98 Sep 8th Metro New York Mens Club Sectional Championship 2019
158 Big Muscle Boys Win 15-13 954.31 Sep 8th Metro New York Mens Club Sectional Championship 2019
77 Log Jam Loss 10-11 1029.43 Sep 8th Metro New York Mens Club Sectional Championship 2019
207 Sky Hook Win 15-4 1019.62 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)