#16 Weird (21-4)

avg: 1796.8  •  sd: 77.23  •  top 16/20: 48.5%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
57 8 Bit Heroes Win 10-8 1654.54 Jun 22nd Summer Glazed Daze 2019
18 Columbus Cocktails Loss 8-13 1266.45 Jun 22nd Summer Glazed Daze 2019
89 FlyTrap Win 13-10 1528.85 Jun 22nd Summer Glazed Daze 2019
25 Alloy Win 11-9 1958.97 Jun 23rd Summer Glazed Daze 2019
62 JLP Win 11-9 1600.22 Jun 23rd Summer Glazed Daze 2019
27 Storm Win 12-10 1891.17 Jun 23rd Summer Glazed Daze 2019
13 Toro Loss 13-15 1636.3 Jun 23rd Summer Glazed Daze 2019
130 m'kay Ultimate** Win 13-5 1632.15 Ignored Jul 20th 2019 Club Terminus
109 Shakedown** Win 13-4 1741.92 Ignored Jul 20th 2019 Club Terminus
70 Memphis STAX Win 13-5 1901.52 Jul 20th 2019 Club Terminus
230 The Umbrella** Win 13-5 1113.47 Ignored Jul 20th 2019 Club Terminus
130 m'kay Ultimate** Win 13-5 1632.15 Ignored Jul 21st 2019 Club Terminus
109 Shakedown** Win 13-3 1741.92 Ignored Jul 21st 2019 Club Terminus
99 Mutiny** Win 12-5 1770.48 Ignored Jul 21st 2019 Club Terminus
14 Love Tractor Win 14-7 2409.19 Aug 17th TCT Elite Select Challenge 2019
30 No Touching! Win 15-14 1765.73 Aug 17th TCT Elite Select Challenge 2019
31 XIST Win 12-8 2067.08 Aug 17th TCT Elite Select Challenge 2019
18 Columbus Cocktails Win 11-8 2128.21 Aug 18th TCT Elite Select Challenge 2019
5 Wild Card Loss 6-10 1506.58 Aug 18th TCT Elite Select Challenge 2019
13 Toro Loss 6-9 1431.91 Aug 18th TCT Elite Select Challenge 2019
278 Baywatch** Win 13-3 815.25 Ignored Sep 7th Florida Mixed Club Sectional Championship 2019
252 Big Bend** Win 13-2 1012.1 Ignored Sep 7th Florida Mixed Club Sectional Championship 2019
207 FIRE ULTIMATE CLUB MIAMI** Win 13-5 1263.97 Ignored Sep 7th Florida Mixed Club Sectional Championship 2019
153 Jackpot** Win 13-2 1520.99 Ignored Sep 7th Florida Mixed Club Sectional Championship 2019
99 Mutiny** Win 13-5 1770.48 Ignored Sep 8th Florida 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)