#35 Nitro (19-6)

avg: 1302.25  •  sd: 97.21  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
84 Gaucho Loss 10-12 701.16 Jun 30th Texas Two Finger 2018
166 Surrillic Audovice** Win 13-2 682.76 Ignored Jun 30th Texas Two Finger 2018
83 Supercell Win 11-8 1306.24 Jun 30th Texas Two Finger 2018
82 Riverside Win 15-6 1544.4 Jul 1st Texas Two Finger 2018
43 Clutch Win 14-12 1475.68 Jul 1st Texas Two Finger 2018
129 Prime Win 12-10 882.81 Jul 1st Texas Two Finger 2018
49 CaSTLe Win 13-10 1542.29 Jul 28th TCT Select Flight Invite 2018
6 Furious George Loss 7-15 1269.11 Jul 28th TCT Select Flight Invite 2018
53 Illusion Loss 10-11 1049.08 Jul 28th TCT Select Flight Invite 2018
22 Voodoo Win 12-10 1742.6 Jul 29th TCT Select Flight Invite 2018
39 Mad Men Win 13-11 1507.81 Jul 29th TCT Select Flight Invite 2018
21 Prairie Fire Loss 8-13 1012.02 Jul 29th TCT Select Flight Invite 2018
- Rock Steady** Win 11-3 953.94 Ignored Sep 8th Texas Mens Sectional Championship 2018
141 DUPlex** Win 11-3 1117.02 Ignored Sep 8th Texas Mens Sectional Championship 2018
79 Papa Bear Win 10-5 1533.17 Sep 8th Texas Mens Sectional Championship 2018
150 The Bayou Boys** Win 11-4 941.25 Ignored Sep 8th Texas Mens Sectional Championship 2018
151 Riverside Messengers-B** Win 11-1 935.77 Ignored Sep 9th Texas Mens Sectional Championship 2018
84 Gaucho Win 10-6 1435.44 Sep 9th Texas Mens Sectional Championship 2018
43 Clutch Win 8-6 1555.22 Sep 9th Texas Mens Sectional Championship 2018
92 Choice City Hops Win 15-10 1341.59 Sep 22nd South Central Mens Regional Championship 2018
43 Clutch Loss 10-13 926.58 Sep 22nd South Central Mens Regional Championship 2018
80 ISO Atmo Win 13-11 1186.67 Sep 22nd South Central Mens Regional Championship 2018
129 Prime** Win 13-5 1244.69 Ignored Sep 22nd South Central Mens Regional Championship 2018
79 Papa Bear Win 15-9 1474.75 Sep 23rd South Central Mens Regional Championship 2018
24 Inception Loss 13-15 1207.16 Sep 23rd South Central Mens 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)