#147 Goose Lee (8-16)

avg: 883.61  •  sd: 63.78  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
129 Moonshine Loss 6-10 475.41 Jul 7th Motown Throwdown 2018
45 Northern Comfort Loss 4-11 835.86 Jul 7th Motown Throwdown 2018
155 Liquid Hustle Win 11-8 1207.44 Jul 7th Motown Throwdown 2018
223 Petey's Scallywags Win 11-1 960.69 Jul 7th Motown Throwdown 2018
32 UNION** Loss 2-11 940.8 Ignored Jul 7th Motown Throwdown 2018
129 Moonshine Loss 11-15 590.4 Jul 8th Motown Throwdown 2018
171 North Coast Win 15-11 1131.88 Jul 8th Motown Throwdown 2018
137 ELevate Win 14-10 1340.57 Jul 8th Motown Throwdown 2018
100 FlyTrap Loss 10-13 786.23 Aug 11th HoDown%20ShowDown%20XXII
63 Rowdy Loss 7-13 731.19 Aug 11th HoDown%20ShowDown%20XXII
103 Trash Pandas Loss 6-13 505.22 Aug 11th HoDown%20ShowDown%20XXII
192 RnB Win 13-8 1114.93 Aug 11th HoDown%20ShowDown%20XXII
219 Carolina Reign Win 15-4 1025.47 Aug 12th HoDown%20ShowDown%20XXII
82 Method Loss 12-13 1107.62 Aug 12th HoDown%20ShowDown%20XXII
54 JLP Loss 10-13 997.73 Aug 12th HoDown%20ShowDown%20XXII
36 Steamboat** Loss 1-15 905.39 Ignored Sep 15th East Plains Mixed Sectional Championship 2018
140 Rocket LawnChair Win 13-12 1020.66 Sep 15th East Plains Mixed Sectional Championship 2018
125 Hybrid Loss 13-14 882.61 Sep 15th East Plains Mixed Sectional Championship 2018
134 Petey's Pirates Loss 10-13 629.61 Sep 16th East Plains Mixed Sectional Championship 2018
88 Toast Loss 8-10 914.13 Sep 22nd Great Lakes Mixed Regional Championship 2018
68 Nothing's Great Again Loss 7-13 723.78 Sep 22nd Great Lakes Mixed Regional Championship 2018
146 Prion Loss 7-10 495.35 Sep 22nd Great Lakes Mixed Regional Championship 2018
140 Rocket LawnChair Win 15-7 1495.66 Sep 23rd Great Lakes Mixed Regional Championship 2018
104 Shakedown Loss 8-13 604.41 Sep 23rd Great Lakes Mixed Regional Championship 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)