#26 Public Enemy (16-7)

avg: 1698.29  •  sd: 67.81  •  top 16/20: 6.6%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
107 blOKC party Win 11-2 1746.65 Jun 15th Texas Two Finger 2019
202 Chili Poppers** Win 11-3 1292.01 Ignored Jun 15th Texas Two Finger 2019
123 Impact Win 11-6 1624.18 Jun 15th Texas Two Finger 2019
211 Mud Turtles** Win 11-2 1250.27 Ignored Jun 15th Texas Two Finger 2019
56 Grand Army Win 15-9 1917.34 Jul 13th TCT Select Flight Invite West 2019
51 Minnesota Star Power Loss 10-12 1220.9 Jul 13th TCT Select Flight Invite West 2019
28 Lights Out Win 13-8 2139.77 Jul 14th TCT Select Flight Invite West 2019
23 Rally Loss 4-11 1111.34 Jul 14th TCT Select Flight Invite West 2019
24 MOONDOG Loss 11-12 1585.43 Jul 14th TCT Select Flight Invite West 2019
52 Mesteño Win 11-10 1566.75 Jul 14th TCT Select Flight Invite West 2019
6 BFG Loss 6-13 1367.11 Aug 17th Northwest Fruit Bowl 2019
43 Birdfruit Win 12-7 2038.31 Aug 17th Northwest Fruit Bowl 2019
60 Rubix Win 13-4 1964.9 Aug 17th Northwest Fruit Bowl 2019
24 MOONDOG Loss 8-11 1344.83 Aug 17th Northwest Fruit Bowl 2019
6 BFG Loss 10-13 1638.97 Aug 18th Northwest Fruit Bowl 2019
52 Mesteño Win 13-6 2041.75 Aug 18th Northwest Fruit Bowl 2019
24 MOONDOG Win 13-11 1939.27 Aug 18th Northwest Fruit Bowl 2019
19 The Chad Larson Experience Loss 10-11 1634.72 Aug 18th Northwest Fruit Bowl 2019
202 Chili Poppers** Win 17-3 1292.01 Ignored Sep 7th Texas Mixed Club Sectional Championship 2019
227 Discney** Win 17-2 1170.18 Ignored Sep 7th Texas Mixed Club Sectional Championship 2019
169 Wildstyle** Win 13-5 1411.29 Ignored Sep 7th Texas Mixed Club Sectional Championship 2019
75 Bexar Win 10-8 1536.18 Sep 8th Texas Mixed Club Sectional Championship 2019
45 Waterloo Win 12-8 1934.34 Sep 8th Texas 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)