#132 JAWN (13-9)

avg: 886.57  •  sd: 54.93  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
171 Adelphos Win 13-3 1256.81 Aug 10th Nuccis Cup 2019
98 Town Hall Stars Loss 10-13 728.9 Aug 10th Nuccis Cup 2019
199 Winc City Fog of War Win 12-8 905.76 Aug 10th Nuccis Cup 2019
152 Watchdogs Win 10-9 887.9 Aug 10th Nuccis Cup 2019
96 Magma Bears Loss 8-15 503.39 Aug 11th Nuccis Cup 2019
131 Slag Dump Win 15-10 1346.26 Aug 11th Nuccis Cup 2019
152 Watchdogs Win 15-11 1144.06 Aug 11th Nuccis Cup 2019
42 Shade Loss 5-13 810.03 Aug 24th The Incident 2019 Age of Ultimatron
207 Sky Hook Win 13-4 1019.62 Aug 24th The Incident 2019 Age of Ultimatron
200 NEO Win 13-6 1063.49 Aug 24th The Incident 2019 Age of Ultimatron
98 Town Hall Stars Loss 9-11 807.83 Aug 24th The Incident 2019 Age of Ultimatron
112 Genny The Boys Loss 6-7 846.58 Aug 25th The Incident 2019 Age of Ultimatron
44 Lantern Loss 8-13 883.19 Aug 25th The Incident 2019 Age of Ultimatron
163 One Night Win 13-4 1309.33 Aug 25th The Incident 2019 Age of Ultimatron
134 Green Means Bro Win 13-10 1204.86 Sep 7th Founders Mens Club Sectional Championship 2019
181 Helots Win 12-9 918.23 Sep 7th Founders Mens Club Sectional Championship 2019
131 Slag Dump Loss 10-13 564.52 Sep 7th Founders Mens Club Sectional Championship 2019
236 Space Force Win 13-6 622.25 Sep 7th Founders Mens Club Sectional Championship 2019
134 Green Means Bro Win 13-12 1001.72 Sep 8th Founders Mens Club Sectional Championship 2019
58 Rumspringa Loss 7-13 719.54 Sep 8th Founders Mens Club Sectional Championship 2019
131 Slag Dump Loss 7-13 335.13 Sep 8th Founders Mens Club Sectional Championship 2019
171 Adelphos Win 12-11 781.81 Sep 8th Founders Mens 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)