#123 PS (14-12)

avg: 1032.36  •  sd: 52.44  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
91 Garbage Plates Loss 6-13 535.45 Jun 22nd Capital District Classic 2019
179 Unlimited Swipes Win 11-7 1190.89 Jun 22nd Capital District Classic 2019
192 Sad Mountain Loss 8-9 538.56 Jun 22nd Capital District Classic 2019
181 Mashed Loss 9-12 371.1 Jun 23rd Capital District Classic 2019
181 Mashed Win 14-9 1190.34 Jun 23rd Capital District Classic 2019
209 TBD Win 11-6 1148.3 Jun 23rd Capital District Classic 2019
85 Eat Lightning Win 13-10 1493.25 Jul 13th Philly Invite 2019
49 League of Shadows Loss 5-15 837.71 Jul 13th Philly Invite 2019
92 The Bandits Win 14-13 1259.35 Jul 13th Philly Invite 2019
115 Stoke Win 11-8 1425.73 Jul 13th Philly Invite 2019
131 Farm Show Win 11-9 1223.04 Jul 14th Philly Invite 2019
15 Loco Loss 7-15 1156.06 Jul 14th Philly Invite 2019
110 Rat City Loss 9-12 728.93 Jul 14th Philly Invite 2019
201 Nautilus Win 13-10 960.91 Aug 3rd Philly Open 2019
232 Buffalo Brain Freeze Win 10-3 1053.08 Aug 3rd Philly Open 2019
174 Alt Stacks Win 13-7 1299.37 Aug 3rd Philly Open 2019
215 Espionage Win 13-3 1178.33 Aug 3rd Philly Open 2019
109 Birds Loss 13-14 953.47 Aug 4th Philly Open 2019
91 Garbage Plates Loss 13-14 1010.45 Aug 4th Philly Open 2019
90 Blowing Heat 3.0 Loss 11-14 825.03 Sep 7th Founders Mixed Club Sectional Championship 2019
- Trenton Takers Win 17-6 1204.1 Sep 7th Founders Mixed Club Sectional Championship 2019
103 Soft Boiled Loss 13-14 985.75 Sep 7th Founders Mixed Club Sectional Championship 2019
131 Farm Show Win 10-8 1236.5 Sep 8th Founders Mixed Club Sectional Championship 2019
115 Stoke Loss 12-15 759.63 Sep 8th Founders Mixed Club Sectional Championship 2019
144 Philly Twist Win 14-12 1113.37 Sep 8th Founders Mixed Club Sectional Championship 2019
103 Soft Boiled Loss 12-13 985.75 Sep 8th Founders 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)