#209 TBD (9-16)

avg: 601.61  •  sd: 46.74  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
263 Albany Airbenders Win 13-3 875.73 Jun 22nd Capital District Classic 2019
181 Mashed Loss 8-11 350.86 Jun 22nd Capital District Classic 2019
296 Pink pear 2019** Win 13-3 233.99 Ignored Jun 22nd Capital District Classic 2019
271 Tropics Ultimate Win 11-4 842.71 Jun 22nd Capital District Classic 2019
91 Garbage Plates Loss 4-15 535.45 Jun 23rd Capital District Classic 2019
123 PS Loss 6-11 485.67 Jun 23rd Capital District Classic 2019
153 Buffalo Lake Effect Loss 8-12 417.88 Aug 3rd Philly Open 2019
190 LORD Win 13-9 1083.92 Aug 3rd Philly Open 2019
271 Tropics Ultimate Win 12-7 763.22 Aug 3rd Philly Open 2019
92 The Bandits Loss 8-13 638.19 Aug 3rd Philly Open 2019
174 Alt Stacks Loss 13-15 527.66 Aug 4th Philly Open 2019
181 Mashed Loss 11-13 487.63 Aug 4th Philly Open 2019
124 Funk Loss 6-11 477.88 Aug 24th The Incident 2019 Age of Ultimatron
293 Turnstyle** Win 13-0 414.57 Ignored Aug 24th The Incident 2019 Age of Ultimatron
179 Unlimited Swipes Loss 7-11 257.1 Aug 24th The Incident 2019 Age of Ultimatron
103 Soft Boiled Loss 7-11 643.86 Aug 24th The Incident 2019 Age of Ultimatron
201 Nautilus Win 9-6 1051.33 Aug 25th The Incident 2019 Age of Ultimatron
180 Varsity Loss 7-8 594.34 Aug 25th The Incident 2019 Age of Ultimatron
110 Rat City Loss 3-10 474.3 Aug 25th The Incident 2019 Age of Ultimatron
44 Grand Army** Loss 1-15 861.45 Ignored Sep 7th Metro New York Mixed Club Sectional Championship 2019
293 Turnstyle** Win 15-2 414.57 Ignored Sep 7th Metro New York Mixed Club Sectional Championship 2019
179 Unlimited Swipes Win 11-10 848.99 Sep 7th Metro New York Mixed Club Sectional Championship 2019
57 Metro North** Loss 2-15 729.01 Ignored Sep 7th Metro New York Mixed Club Sectional Championship 2019
180 Varsity Loss 9-15 203.86 Sep 8th Metro New York Mixed Club Sectional Championship 2019
86 The Feminists Loss 8-15 599.34 Sep 8th Metro New York 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)