#19 Columbus Cocktails (26-15)

avg: 1692.19  •  sd: 48.67  •  top 16/20: 21.7%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
83 FlyTrap Win 13-4 1768.3 Jun 22nd Summer Glazed Daze 2019
62 8 Bit Heroes Win 13-8 1784.23 Jun 22nd Summer Glazed Daze 2019
20 Weird Win 13-8 2177.61 Jun 22nd Summer Glazed Daze 2019
43 Murmur Win 13-12 1586.98 Jun 23rd Summer Glazed Daze 2019
110 Rat City Win 13-6 1674.3 Jun 23rd Summer Glazed Daze 2019
32 Storm Loss 12-13 1436.32 Jun 23rd Summer Glazed Daze 2019
15 Loco Win 13-12 1881.06 Jun 23rd Summer Glazed Daze 2019
39 Birdfruit Win 12-11 1618.84 Jul 13th TCT Pro Elite Challenge 2019
9 Blackbird Loss 9-13 1407.14 Jul 13th TCT Pro Elite Challenge 2019
34 XIST Win 13-9 1948.81 Jul 13th TCT Pro Elite Challenge 2019
28 No Touching! Win 13-12 1756.52 Jul 14th TCT Pro Elite Challenge 2019
9 Blackbird Win 13-12 1950.7 Jul 14th TCT Pro Elite Challenge 2019
1 Seattle Mixtape Loss 7-13 1513.87 Jul 14th TCT Pro Elite Challenge 2019
4 Mischief Loss 11-12 1831.21 Jul 14th TCT Pro Elite Challenge 2019
117 Bird** Win 13-4 1656.38 Ignored Jul 27th TCT Select Flight Invite East 2019
40 Chalice Loss 7-13 927.27 Jul 27th TCT Select Flight Invite East 2019
32 Storm Win 11-9 1810.53 Jul 27th TCT Select Flight Invite East 2019
26 The Chad Larson Experience Win 13-10 1970.11 Jul 27th TCT Select Flight Invite East 2019
21 Bucket Win 13-8 2173.36 Jul 28th TCT Select Flight Invite East 2019
40 Chalice Win 13-11 1713.65 Jul 28th TCT Select Flight Invite East 2019
29 Alloy Win 13-12 1747.61 Jul 28th TCT Select Flight Invite East 2019
122 Nothing's Great Again** Win 15-6 1635.85 Ignored Aug 17th TCT Elite Select Challenge 2019
15 Loco Loss 14-15 1631.06 Aug 17th TCT Elite Select Challenge 2019
4 Mischief Loss 9-13 1537.64 Aug 17th TCT Elite Select Challenge 2019
17 Polar Bears Win 9-7 1988.97 Aug 18th TCT Elite Select Challenge 2019
20 Weird Loss 8-11 1315.84 Aug 18th TCT Elite Select Challenge 2019
11 Lochsa Loss 6-10 1301.92 Aug 18th TCT Elite Select Challenge 2019
4 Mischief Loss 8-9 1831.21 Aug 18th TCT Elite Select Challenge 2019
132 Liquid Hustle Win 13-6 1567.47 Sep 21st Great Lakes Mixed Club Regional Championship 2019
168 ELevate** Win 12-5 1380.15 Ignored Sep 21st Great Lakes Mixed Club Regional Championship 2019
107 Shakedown Win 13-6 1692.86 Sep 21st Great Lakes Mixed Club Regional Championship 2019
33 Hybrid Win 13-8 2042.56 Sep 22nd Great Lakes Mixed Club Regional Championship 2019
121 Stripes** Win 13-5 1642.87 Ignored Sep 22nd Great Lakes Mixed Club Regional Championship 2019
23 U54 Ultimate Win 12-10 1891.32 Sep 22nd Great Lakes Mixed Club Regional Championship 2019
5 BFG Loss 13-15 1740.97 Oct 24th USA Ultimate National Championships 2019
2 Drag'n Thrust Loss 8-15 1471.84 Oct 24th USA Ultimate National Championships 2019
14 Public Enemy Win 15-14 1884.91 Oct 24th USA Ultimate National Championships 2019
18 Superlame Win 15-13 1919.45 Oct 25th USA Ultimate National Championships 2019
4 Mischief Loss 8-15 1391.4 Oct 25th USA Ultimate National Championships 2019
1 Seattle Mixtape Loss 11-15 1690.24 Oct 25th USA Ultimate National Championships 2019
18 Superlame Loss 12-15 1404.78 Oct 26th USA Ultimate National Championships 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)