#40 Murmur (15-5)

avg: 1540.03  •  sd: 55.26  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
15 Loco Loss 7-13 1244.81 Jun 22nd Summer Glazed Daze 2019
159 Rowdy Win 13-8 1396.8 Jun 22nd Summer Glazed Daze 2019
111 NC Galaxy Win 13-3 1724.84 Jun 22nd Summer Glazed Daze 2019
25 Alloy Win 12-11 1834.76 Jun 23rd Summer Glazed Daze 2019
18 Columbus Cocktails Loss 12-13 1637.6 Jun 23rd Summer Glazed Daze 2019
89 FlyTrap Win 13-7 1758.24 Jun 23rd Summer Glazed Daze 2019
23 Rally Loss 8-13 1215.18 Jun 23rd Summer Glazed Daze 2019
34 'Shine Loss 6-13 988.45 Aug 10th HoDown ShowDown 23 GOAT
132 Liquid Hustle Win 13-3 1623.82 Aug 10th HoDown ShowDown 23 GOAT
153 Jackpot** Win 13-4 1520.99 Ignored Aug 10th HoDown ShowDown 23 GOAT
62 JLP Win 13-10 1679.15 Aug 10th HoDown ShowDown 23 GOAT
155 Goose Lee** Win 15-6 1513.21 Ignored Aug 11th HoDown ShowDown 23 GOAT
62 JLP Win 15-10 1804.61 Aug 11th HoDown ShowDown 23 GOAT
38 Superlame Loss 12-15 1258.02 Aug 11th HoDown ShowDown 23 GOAT
165 APEX** Win 13-4 1445.11 Ignored Sep 7th East Coast Mixed Club Sectional Championship 2019
193 Hairy Otter** Win 13-3 1305.18 Ignored Sep 7th East Coast Mixed Club Sectional Championship 2019
230 The Umbrella** Win 13-1 1113.47 Ignored Sep 7th East Coast Mixed Club Sectional Championship 2019
74 Trash Pandas Win 11-10 1398.88 Sep 7th East Coast Mixed Club Sectional Championship 2019
34 'Shine Win 11-10 1713.45 Sep 8th East Coast Mixed Club Sectional Championship 2019
62 JLP Win 13-9 1769.57 Sep 8th East Coast 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)