#91 Argo (11-12)

avg: 1164.96  •  sd: 83.64  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
161 AC Bandits Win 11-7 1267.18 Jul 28th Truckee River Ultimate Cooldown 2018
51 Cutthroat Loss 8-12 916.53 Jul 28th Truckee River Ultimate Cooldown 2018
119 Buckwild Loss 8-9 906.1 Jul 28th Truckee River Ultimate Cooldown 2018
85 Platypi Loss 8-9 1065.67 Jul 28th Truckee River Ultimate Cooldown 2018
161 AC Bandits Win 13-11 1029.13 Jul 29th Truckee River Ultimate Cooldown 2018
51 Cutthroat Win 12-11 1482.69 Jul 29th Truckee River Ultimate Cooldown 2018
85 Platypi Loss 3-15 590.67 Jul 29th Truckee River Ultimate Cooldown 2018
52 Instant Karma Loss 6-11 798.36 Aug 18th Ski Town Classic 2018
51 Cutthroat Loss 6-13 757.69 Aug 18th Ski Town Classic 2018
69 Mental Toss Flycoons Win 11-9 1528.69 Aug 18th Ski Town Classic 2018
- Lone Peak Y Win 13-4 1502 Aug 18th Ski Town Classic 2018
43 Flight Club Loss 7-12 952.62 Aug 19th Ski Town Classic 2018
110 California Burrito Win 13-7 1624.62 Aug 19th Ski Town Classic 2018
69 Mental Toss Flycoons Loss 7-9 1000.15 Aug 19th Ski Town Classic 2018
37 BW Ultimate Win 10-6 1996.72 Sep 8th Nor Cal Mixed Sectional Championship 2018
35 Classy Loss 6-11 967.02 Sep 8th Nor Cal Mixed Sectional Championship 2018
187 Megalodon Win 11-5 1243.4 Sep 8th Nor Cal Mixed Sectional Championship 2018
120 Mimosas Loss 10-11 897.95 Sep 8th Nor Cal Mixed Sectional Championship 2018
193 Feral Cows Win 11-6 1162.46 Sep 8th Nor Cal Mixed Sectional Championship 2018
61 Donuts Loss 8-12 850.97 Sep 9th Nor Cal Mixed Sectional Championship 2018
119 Buckwild Win 12-9 1376.46 Sep 9th Nor Cal Mixed Sectional Championship 2018
120 Mimosas Win 13-0 1622.95 Sep 9th Nor Cal Mixed Sectional Championship 2018
67 Firefly Loss 9-11 1033.4 Sep 9th Nor Cal Mixed Sectional 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)