#115 Rat City (23-13)

avg: 1105.67  •  sd: 51.7  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
72 Ant Madness Win 13-9 1694.87 Jun 22nd Summer Glazed Daze 2019
195 Heavy Flow Win 11-9 950.87 Jun 22nd Summer Glazed Daze 2019
167 Possum Win 12-11 961.1 Jun 22nd Summer Glazed Daze 2019
265 ThunderCats** Win 13-2 924.61 Ignored Jun 22nd Summer Glazed Daze 2019
18 Columbus Cocktails Loss 6-13 1162.6 Jun 23rd Summer Glazed Daze 2019
89 FlyTrap Loss 8-12 759.56 Jun 23rd Summer Glazed Daze 2019
62 JLP Loss 9-11 1101.8 Jun 23rd Summer Glazed Daze 2019
159 Rowdy Win 11-4 1500.64 Jun 23rd Summer Glazed Daze 2019
61 Chaotic Good Loss 10-15 898.26 Jul 13th Philly Invite 2019
86 Eat Lightning Win 15-11 1603.01 Jul 13th Philly Invite 2019
142 Philly Twist Win 15-9 1467.77 Jul 13th Philly Invite 2019
112 Stoke Win 11-10 1238.57 Jul 13th Philly Invite 2019
61 Chaotic Good Win 12-11 1476.87 Jul 14th Philly Invite 2019
117 PS Win 12-9 1444.68 Jul 14th Philly Invite 2019
46 Sparkle Ponies Loss 8-13 994.05 Jul 14th Philly Invite 2019
72 Ant Madness Loss 7-12 755.79 Aug 10th Chesapeake Open 2019
195 Heavy Flow Win 12-8 1142.82 Aug 10th Chesapeake Open 2019
85 HVAC Loss 8-13 735.68 Aug 10th Chesapeake Open 2019
139 Tequila Mockingbird Win 13-12 1110.39 Aug 10th Chesapeake Open 2019
140 Crucible Win 11-9 1232.66 Aug 11th Chesapeake Open 2019
90 Fleet Loss 8-14 661.11 Aug 11th Chesapeake Open 2019
270 Baltimore BENCH** Win 13-1 892.64 Ignored Aug 24th The Incident 2019 Age of Ultimatron
86 Eat Lightning Loss 5-13 621.84 Aug 24th The Incident 2019 Age of Ultimatron
266 I-79** Win 13-5 915.46 Ignored Aug 24th The Incident 2019 Age of Ultimatron
142 Philly Twist Loss 9-10 827.29 Aug 24th The Incident 2019 Age of Ultimatron
216 Espionage Win 11-10 743.95 Aug 25th The Incident 2019 Age of Ultimatron
208 TBD Win 10-3 1261.71 Aug 25th The Incident 2019 Age of Ultimatron
177 Unlimited Swipes Win 10-6 1277.02 Aug 25th The Incident 2019 Age of Ultimatron
270 Baltimore BENCH** Win 13-4 892.64 Ignored Sep 7th Capital Mixed Club Sectional Championship 2019
90 Fleet Loss 9-13 778.58 Sep 7th Capital Mixed Club Sectional Championship 2019
23 Rally Loss 8-13 1215.18 Sep 7th Capital Mixed Club Sectional Championship 2019
242 RnB** Win 13-3 1065.07 Ignored Sep 7th Capital Mixed Club Sectional Championship 2019
131 Legion Win 11-10 1154.65 Sep 8th Capital Mixed Club Sectional Championship 2019
136 Fireball Win 13-7 1558.69 Sep 8th Capital Mixed Club Sectional Championship 2019
85 HVAC Loss 4-13 631.84 Sep 8th Capital Mixed Club Sectional Championship 2019
103 Tyrannis Win 14-7 1742.92 Sep 8th Capital 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)