#21 Bucket (14-5)

avg: 1723.21  •  sd: 74.88  •  top 16/20: 15.2%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
71 Northern Comfort Win 13-4 1882.76 Jul 27th TCT Select Flight Invite East 2019
57 8 Bit Heroes Win 13-5 1991.87 Jul 27th TCT Select Flight Invite East 2019
17 Steamboat Win 12-7 2297.76 Jul 27th TCT Select Flight Invite East 2019
18 Columbus Cocktails Loss 8-13 1266.45 Jul 28th TCT Select Flight Invite East 2019
33 Hybrid Win 12-11 1725.57 Jul 28th TCT Select Flight Invite East 2019
5 Wild Card Loss 11-12 1877.74 Jul 28th TCT Select Flight Invite East 2019
57 8 Bit Heroes Win 13-10 1720.01 Aug 10th Chesapeake Open 2019
35 League of Shadows Win 10-7 1953.06 Aug 10th Chesapeake Open 2019
56 Grand Army Win 13-8 1898.02 Aug 10th Chesapeake Open 2019
27 Storm Win 12-7 2173.56 Aug 10th Chesapeake Open 2019
25 Alloy Win 15-8 2274.57 Aug 11th Chesapeake Open 2019
46 Sparkle Ponies Win 13-12 1615.21 Aug 11th Chesapeake Open 2019
17 Steamboat Loss 13-14 1652.25 Aug 11th Chesapeake Open 2019
162 OutKast** Win 13-2 1472.91 Ignored Sep 7th East Coast Mixed Club Sectional Championship 2019
167 Possum** Win 17-1 1436.1 Ignored Sep 7th East Coast Mixed Club Sectional Championship 2019
113 sKNO cone Win 12-11 1236.67 Sep 7th East Coast Mixed Club Sectional Championship 2019
34 'Shine Loss 11-12 1463.45 Sep 8th East Coast Mixed Club Sectional Championship 2019
62 JLP Loss 11-12 1226.01 Sep 8th East Coast Mixed Club Sectional Championship 2019
113 sKNO cone Win 11-8 1477.28 Sep 8th East Coast Mixed 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)