#137 ELevate (16-12)

avg: 941.87  •  sd: 68.36  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
196 Thunderpants the Magic Dragon Win 9-8 719.46 Jul 7th Motown Throwdown 2018
88 Toast Loss 3-11 576.79 Jul 7th Motown Throwdown 2018
125 Hybrid Loss 8-11 642 Jul 7th Motown Throwdown 2018
186 Jabba Win 11-5 1250.2 Jul 7th Motown Throwdown 2018
198 Second Wind Win 11-4 1181.25 Jul 7th Motown Throwdown 2018
147 Goose Lee Loss 10-14 484.9 Jul 8th Motown Throwdown 2018
149 Crucible Loss 11-15 498.54 Jul 8th Motown Throwdown 2018
208 Bonfire Win 15-8 1099.5 Jul 8th Motown Throwdown 2018
112 Mojo Jojo Win 13-11 1291.23 Aug 4th Heavyweights 2018
217 Mastodon Win 13-6 1083.04 Aug 4th Heavyweights 2018
246 Taco Cat** Win 13-1 503.83 Ignored Aug 4th Heavyweights 2018
146 Prion Win 11-6 1431.71 Aug 5th Heavyweights 2018
145 Pandamonium Loss 6-11 338.69 Aug 5th Heavyweights 2018
186 Jabba Win 10-3 1250.2 Aug 5th Heavyweights 2018
140 Rocket LawnChair Loss 10-13 567.52 Aug 5th Heavyweights 2018
112 Mojo Jojo Loss 12-13 937.39 Aug 18th Cooler Classic 30
184 Mousetrap Win 13-5 1258.08 Aug 18th Cooler Classic 30
191 Coalition Ultimate Win 13-8 1115.84 Aug 18th Cooler Classic 30
228 Mixed Duluth** Win 13-3 928.27 Ignored Aug 18th Cooler Classic 30
146 Prion Win 14-7 1467.91 Aug 19th Cooler Classic 30
111 panIC Loss 10-15 612.89 Aug 19th Cooler Classic 30
166 Spirit Fowl Win 14-8 1323.72 Aug 19th Cooler Classic 30
146 Prion Loss 8-10 622.35 Sep 8th Central Plains Mixed Sectional Championship 2018
68 Nothing's Great Again Loss 7-10 891.65 Sep 8th Central Plains Mixed Sectional Championship 2018
77 Tequila Mockingbird Loss 9-11 1003.69 Sep 8th Central Plains Mixed Sectional Championship 2018
211 Stackcats Win 12-3 1118.98 Sep 8th Central Plains Mixed Sectional Championship 2018
172 Los Heros Loss 12-13 619.78 Sep 9th Central Plains Mixed Sectional Championship 2018
235 Skyhawks** Win 15-5 844.51 Ignored Sep 9th Central Plains Mixed Sectional 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)