#38 Columbus Cocktails (28-14)

avg: 1500.3  •  sd: 46.13  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
211 Stackcats** Win 11-4 1118.98 Ignored Jul 7th Motown Throwdown 2018
134 Petey's Pirates Win 11-2 1557.75 Jul 7th Motown Throwdown 2018
172 Los Heros** Win 11-3 1344.78 Ignored Jul 7th Motown Throwdown 2018
171 North Coast** Win 11-3 1350.72 Ignored Jul 7th Motown Throwdown 2018
125 Hybrid Win 15-13 1221.79 Jul 8th Motown Throwdown 2018
45 Northern Comfort Loss 14-15 1310.86 Jul 8th Motown Throwdown 2018
140 Rocket LawnChair Win 13-11 1124.5 Jul 8th Motown Throwdown 2018
56 Murmur Win 10-9 1446.17 Jul 21st Club Terminus 2018
226 Baywatch** Win 13-3 946.12 Ignored Jul 21st Club Terminus 2018
90 Mutiny Win 11-5 1765.68 Jul 22nd Club Terminus 2018
27 Weird Loss 8-13 1081.69 Jul 22nd Club Terminus 2018
41 Storm Loss 10-11 1354.16 Jul 22nd Club Terminus 2018
54 JLP Win 13-12 1450.88 Jul 22nd Club Terminus 2018
15 Toro Loss 7-13 1203.11 Aug 18th TCT Elite Select Challenge 2018
17 Polar Bears Loss 7-13 1182.15 Aug 18th TCT Elite Select Challenge 2018
12 Mischief Loss 6-13 1184.35 Aug 18th TCT Elite Select Challenge 2018
26 Alloy Loss 8-9 1464.35 Aug 19th TCT Elite Select Challenge 2018
28 Mesteño Loss 9-13 1143.97 Aug 19th TCT Elite Select Challenge 2018
134 Petey's Pirates Win 8-4 1522.56 Aug 25th Indy Invite Club 2018
212 Mixed Results** Win 11-4 1114.05 Ignored Aug 26th Indy Invite Club 2018
103 Trash Pandas Win 11-4 1705.22 Aug 26th Indy Invite Club 2018
103 Trash Pandas Win 10-8 1367.89 Aug 26th Indy Invite Club 2018
208 Bonfire** Win 11-4 1134.69 Ignored Aug 26th Indy Invite Club 2018
155 Liquid Hustle** Win 11-3 1441.83 Ignored Aug 26th Indy Invite Club 2018
88 Toast Win 15-10 1630.4 Sep 15th East Plains Mixed Sectional Championship 2018
171 North Coast** Win 13-5 1350.72 Ignored Sep 15th East Plains Mixed Sectional Championship 2018
223 Petey's Scallywags** Win 13-3 960.69 Ignored Sep 15th East Plains Mixed Sectional Championship 2018
134 Petey's Pirates Win 13-7 1515.28 Sep 15th East Plains Mixed Sectional Championship 2018
36 Steamboat Win 15-13 1719.57 Sep 16th East Plains Mixed Sectional Championship 2018
129 Moonshine Win 13-4 1571.57 Sep 22nd Great Lakes Mixed Regional Championship 2018
140 Rocket LawnChair** Win 13-4 1495.66 Ignored Sep 22nd Great Lakes Mixed Regional Championship 2018
186 Jabba** Win 13-3 1250.2 Ignored Sep 22nd Great Lakes Mixed Regional Championship 2018
134 Petey's Pirates Win 15-8 1522.56 Sep 23rd Great Lakes Mixed Regional Championship 2018
77 Tequila Mockingbird Win 15-10 1706.5 Sep 23rd Great Lakes Mixed Regional Championship 2018
68 Nothing's Great Again Win 15-7 1881.31 Sep 23rd Great Lakes Mixed Regional Championship 2018
6 Snake Country Loss 11-15 1561.81 Oct 18th USA Ultimate National Championships 2018
4 BFG Loss 6-15 1379.89 Oct 18th USA Ultimate National Championships 2018
11 Slow White Loss 10-15 1373.69 Oct 18th USA Ultimate National Championships 2018
15 Toro Loss 14-16 1552.35 Oct 19th USA Ultimate National Championships 2018
10 shame. Loss 9-15 1329.24 Oct 19th USA Ultimate National Championships 2018
20 No Touching! Loss 14-15 1556.38 Oct 19th USA Ultimate National Championships 2018
17 Polar Bears Win 15-9 2255.17 Oct 20th USA Ultimate National Championships 2018
**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)