#64 Donuts (27-14)

avg: 1272.77  •  sd: 51.97  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
237 Feral Cows** Win 13-2 1031.23 Ignored Jun 8th Bay Area Ultimate Classic 2019
66 Firefly Loss 8-10 994.62 Jun 8th Bay Area Ultimate Classic 2019
260 Party Cats-D Win 11-5 901.15 Jun 8th Bay Area Ultimate Classic 2019
177 Spoiler Alert Win 8-4 1295.3 Jun 8th Bay Area Ultimate Classic 2019
118 Absolute Zero Win 10-9 1179.19 Jun 9th Bay Area Ultimate Classic 2019
96 Robot Win 13-8 1616.88 Jun 9th Bay Area Ultimate Classic 2019
30 Lotus Loss 4-12 1017.38 Jun 9th Bay Area Ultimate Classic 2019
61 American Barbecue Win 10-9 1423.36 Jul 20th Revolution 2019
98 Family Style Win 13-5 1718.32 Jul 20th Revolution 2019
48 Pivot Loss 7-10 1050.85 Jul 20th Revolution 2019
97 California Burrito Win 12-7 1641.14 Jul 21st Revolution 2019
61 American Barbecue Loss 7-10 908.7 Jul 21st Revolution 2019
66 Firefly Loss 4-15 657.29 Jul 21st Revolution 2019
244 Natural Twenties** Win 15-2 1007.71 Ignored Aug 3rd Kleinman Eruption 2019
82 Happy Hour Win 10-8 1453.81 Aug 3rd Kleinman Eruption 2019
157 Choco Ghost House Win 15-7 1443.38 Aug 3rd Kleinman Eruption 2019
253 Friendzone** Win 15-4 941.63 Ignored Aug 3rd Kleinman Eruption 2019
125 Hive Win 9-7 1300.09 Aug 4th Kleinman Eruption 2019
101 Buckwild Loss 12-13 988.25 Aug 4th Kleinman Eruption 2019
79 Pegasus Win 10-8 1462.26 Aug 4th Kleinman Eruption 2019
97 California Burrito Win 10-5 1694.53 Aug 24th Ski Town Classic 2019
135 Springs Mixed Ulty Team Win 12-9 1299.15 Aug 24th Ski Town Classic 2019
243 Rogue** Win 13-5 1010.15 Ignored Aug 24th Ski Town Classic 2019
129 Moontower Loss 11-12 863.19 Aug 24th Ski Town Classic 2019
59 Flight Club Win 11-9 1559.78 Aug 25th Ski Town Classic 2019
69 Instant Karma Win 10-7 1632.2 Aug 25th Ski Town Classic 2019
48 Pivot Win 11-9 1689.72 Aug 25th Ski Town Classic 2019
42 Classy Loss 7-9 1183.35 Sep 7th Nor Cal Mixed Club Sectional Championship 2019
104 Argo Win 10-6 1598 Sep 7th Nor Cal Mixed Club Sectional Championship 2019
145 The Los Gatos Gatos-Senior Win 9-8 1012.82 Sep 7th Nor Cal Mixed Club Sectional Championship 2019
260 Party Cats-D** Win 13-4 901.15 Ignored Sep 7th Nor Cal Mixed Club Sectional Championship 2019
36 BW Ultimate Win 10-9 1649.91 Sep 8th Nor Cal Mixed Club Sectional Championship 2019
17 Polar Bears Loss 7-10 1319.97 Sep 8th Nor Cal Mixed Club Sectional Championship 2019
127 Platypi Win 13-7 1561.8 Sep 8th Nor Cal Mixed Club Sectional Championship 2019
17 Polar Bears Loss 3-13 1109.63 Sep 8th Nor Cal Mixed Club Sectional Championship 2019
97 California Burrito Loss 6-12 541.32 Sep 21st Southwest Club Mixed Regional Championship
61 American Barbecue Loss 10-13 970.22 Sep 21st Southwest Club Mixed Regional Championship
66 Firefly Loss 9-11 1008.08 Sep 21st Southwest Club Mixed Regional Championship
17 Polar Bears Loss 1-13 1109.63 Sep 21st Southwest Club Mixed Regional Championship
69 Instant Karma Win 13-12 1367.53 Sep 22nd Southwest Club Mixed Regional Championship
127 Platypi Win 12-7 1524.78 Sep 22nd Southwest Club Mixed Regional Championship
**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)