#35 Classy (28-16)

avg: 1513.71  •  sd: 51.65  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
161 AC Bandits Win 13-7 1357.82 Jun 9th Bay Area Ultimate Classic 2018
74 Alchemy Win 8-7 1390.2 Jun 9th Bay Area Ultimate Classic 2018
182 Sebastopol Orchard** Win 15-2 1272.27 Ignored Jun 9th Bay Area Ultimate Classic 2018
74 Alchemy Win 11-8 1630.81 Jun 10th Bay Area Ultimate Classic 2018
55 American Barbecue Win 12-9 1669.65 Jun 10th Bay Area Ultimate Classic 2018
37 BW Ultimate Loss 9-10 1375.56 Jun 10th Bay Area Ultimate Classic 2018
29 7 Figures Loss 7-10 1170.72 Jul 21st Revolution 2018
74 Alchemy Win 10-9 1390.2 Jul 21st Revolution 2018
12 Mischief Loss 7-11 1317.46 Jul 21st Revolution 2018
67 Firefly Win 12-7 1803.12 Jul 22nd Revolution 2018
17 Polar Bears Loss 9-10 1614.68 Jul 22nd Revolution 2018
62 Long Beach Legacy Win 13-2 1891.8 Jul 22nd Revolution 2018
7 Blackbird Loss 7-10 1502.01 Jul 22nd Revolution 2018
32 UNION Loss 6-13 940.8 Jul 28th TCT Select Flight Invite 2018
44 Bozos Win 11-10 1585.67 Jul 28th TCT Select Flight Invite 2018
89 Sweet Action Win 13-9 1587.6 Jul 28th TCT Select Flight Invite 2018
39 Minnesota Star Power Win 13-10 1827.67 Jul 28th TCT Select Flight Invite 2018
19 Bucket Win 13-8 2201.39 Jul 29th TCT Select Flight Invite 2018
13 Birdfruit Loss 6-12 1199.98 Jul 29th TCT Select Flight Invite 2018
14 Lochsa Win 12-11 1888.72 Jul 29th TCT Select Flight Invite 2018
118 Risky Business Win 13-8 1527.56 Aug 18th The 1st Annual Northwest Fruit Bowl
81 Pegasus Win 13-10 1565.44 Aug 18th The 1st Annual Northwest Fruit Bowl
6 Snake Country Loss 7-10 1553.31 Aug 18th The 1st Annual Northwest Fruit Bowl
23 Lights Out Loss 7-13 1056.93 Aug 18th The 1st Annual Northwest Fruit Bowl
37 BW Ultimate Win 10-9 1625.56 Aug 19th The 1st Annual Northwest Fruit Bowl
89 Sweet Action Win 13-10 1497.18 Aug 19th The 1st Annual Northwest Fruit Bowl
13 Birdfruit Loss 11-13 1550.45 Aug 19th The 1st Annual Northwest Fruit Bowl
39 Minnesota Star Power Loss 7-11 1032.64 Aug 19th The 1st Annual Northwest Fruit Bowl
37 BW Ultimate Win 10-8 1763.23 Sep 8th Nor Cal Mixed Sectional Championship 2018
120 Mimosas Win 11-4 1622.95 Sep 8th Nor Cal Mixed Sectional Championship 2018
193 Feral Cows** Win 11-4 1215.76 Ignored Sep 8th Nor Cal Mixed Sectional Championship 2018
91 Argo Win 11-6 1711.65 Sep 8th Nor Cal Mixed Sectional Championship 2018
187 Megalodon Win 11-8 1009.01 Sep 8th Nor Cal Mixed Sectional Championship 2018
51 Cutthroat Loss 8-13 861.53 Sep 9th Nor Cal Mixed Sectional Championship 2018
51 Cutthroat Win 13-7 1915.22 Sep 9th Nor Cal Mixed Sectional Championship 2018
37 BW Ultimate Win 12-11 1625.56 Sep 9th Nor Cal Mixed Sectional Championship 2018
17 Polar Bears Loss 11-13 1510.84 Sep 9th Nor Cal Mixed Sectional Championship 2018
51 Cutthroat Win 13-11 1586.53 Sep 22nd Southwest Mixed Regional Championship 2018
37 BW Ultimate Loss 7-12 980.05 Sep 22nd Southwest Mixed Regional Championship 2018
65 Family Style Win 13-6 1887.22 Sep 22nd Southwest Mixed Regional Championship 2018
85 Platypi Win 13-7 1748.21 Sep 22nd Southwest Mixed Regional Championship 2018
29 7 Figures Win 13-7 2117.91 Sep 23rd Southwest Mixed Regional Championship 2018
17 Polar Bears Loss 6-13 1139.68 Sep 23rd Southwest Mixed Regional Championship 2018
7 Blackbird Loss 7-13 1334.14 Sep 23rd Southwest Mixed 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)