#95 Platypi (12-9)

avg: 1178.4  •  sd: 64.77  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
80 Alchemy Win 8-6 1553.97 Jun 29th Truckee River Ultimate Cooldown 2019
239 Fear and Loathing** Win 13-4 1078.37 Ignored Jun 29th Truckee River Ultimate Cooldown 2019
36 Garage Sale Loss 9-13 1144.81 Jun 29th Truckee River Ultimate Cooldown 2019
163 VU Win 11-7 1337.69 Jun 29th Truckee River Ultimate Cooldown 2019
80 Alchemy Win 11-9 1502.68 Jun 30th Truckee River Ultimate Cooldown 2019
98 Buckwild Loss 11-14 860.99 Jun 30th Truckee River Ultimate Cooldown 2019
161 Breakers Mark Win 15-9 1408.2 Aug 3rd Kleinman Eruption 2019
121 Bulleit Train Loss 10-12 847.44 Aug 3rd Kleinman Eruption 2019
215 Megalodon Win 15-5 1229.01 Aug 3rd Kleinman Eruption 2019
64 The Administrators Loss 8-15 780.14 Aug 3rd Kleinman Eruption 2019
138 Choco Ghost House Loss 14-15 869.75 Aug 4th Kleinman Eruption 2019
152 Fable Win 14-9 1395.89 Aug 4th Kleinman Eruption 2019
150 Igneous Ultimate Win 10-9 1050.05 Aug 4th Kleinman Eruption 2019
116 Absolute Zero Win 11-10 1229.82 Sep 7th Nor Cal Mixed Club Sectional Championship 2019
41 BW Ultimate Loss 2-13 939.26 Sep 7th Nor Cal Mixed Club Sectional Championship 2019
54 Cutthroat Win 12-9 1775.18 Sep 7th Nor Cal Mixed Club Sectional Championship 2019
299 Delta Breeze** Win 13-3 600 Ignored Sep 7th Nor Cal Mixed Club Sectional Championship 2019
48 Classy Loss 11-12 1341.35 Sep 8th Nor Cal Mixed Club Sectional Championship 2019
54 Cutthroat Loss 8-12 988.66 Sep 8th Nor Cal Mixed Club Sectional Championship 2019
59 Donuts Loss 7-13 826.33 Sep 8th Nor Cal Mixed Club Sectional Championship 2019
76 Firefly Win 11-10 1395.63 Sep 8th Nor Cal 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)