#132 Liquid Hustle (15-11)

avg: 1023.82  •  sd: 50.82  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
236 Skyhawks Win 11-6 1030.63 Jul 6th Motown Throwdown 2019
155 Goose Lee Win 11-7 1380.1 Jul 6th Motown Throwdown 2019
187 Pixel Win 9-4 1340.96 Jul 7th Motown Throwdown 2019
58 Toast Loss 10-11 1260.08 Jul 7th Motown Throwdown 2019
155 Goose Lee Loss 6-11 366.51 Jul 7th Motown Throwdown 2019
214 Stackcats Win 13-3 1237.26 Jul 7th Motown Throwdown 2019
34 'Shine Loss 6-13 988.45 Aug 10th HoDown ShowDown 23 GOAT
40 Murmur Loss 3-13 940.03 Aug 10th HoDown ShowDown 23 GOAT
62 JLP Loss 8-13 854.85 Aug 10th HoDown ShowDown 23 GOAT
153 Jackpot Win 13-12 1045.99 Aug 10th HoDown ShowDown 23 GOAT
105 Auburn HeyDay Loss 14-15 1033.12 Aug 11th HoDown ShowDown 23 GOAT
175 Moonshine Win 14-11 1095.17 Aug 11th HoDown ShowDown 23 GOAT
103 Tyrannis Loss 6-15 560.03 Aug 11th HoDown ShowDown 23 GOAT
196 Petey's Scallywags Win 12-11 825.71 Aug 24th Indy Invite Club 2019
187 Pixel Win 13-8 1237.12 Aug 24th Indy Invite Club 2019
135 Los Heros Win 11-10 1136.08 Aug 24th Indy Invite Club 2019
73 Petey's Pirates Loss 10-15 821.08 Aug 25th Indy Invite Club 2019
251 Mishigami Win 13-7 973.72 Aug 25th Indy Invite Club 2019
170 Thunderpants the Magic Dragon Win 15-10 1260.78 Aug 25th Indy Invite Club 2019
236 Skyhawks Win 13-3 1083.93 Sep 7th Central Plains Mixed Club Sectional Championship 2019
192 Jabba Win 13-9 1126.93 Sep 7th Central Plains Mixed Club Sectional Championship 2019
50 U54 Ultimate Loss 3-13 861.31 Sep 7th Central Plains Mixed Club Sectional Championship 2019
135 Los Heros Loss 9-13 592.51 Sep 7th Central Plains Mixed Club Sectional Championship 2019
172 Prion Win 15-6 1399.14 Sep 8th Central Plains Mixed Club Sectional Championship 2019
135 Los Heros Win 15-11 1392.24 Sep 8th Central Plains Mixed Club Sectional Championship 2019
139 Tequila Mockingbird Loss 15-16 860.39 Sep 8th Central Plains 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)