#75 Bexar (17-7)

avg: 1273.51  •  sd: 71.59  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
49 Boomtown Loss 9-12 1118.6 Jun 15th Texas Two Finger 2019
100 Risky Business Loss 10-12 930.88 Jun 15th Texas Two Finger 2019
256 Balloon** Win 14-5 977.86 Ignored Jun 15th Texas Two Finger 2019
276 Alpha** Win 15-5 840.57 Ignored Jul 13th Riverside Classic 2019
202 Chili Poppers Win 15-7 1292.01 Jul 13th Riverside Classic 2019
169 Wildstyle Win 15-8 1376.1 Jul 13th Riverside Classic 2019
292 Mixfits** Win 15-0 517.34 Ignored Jul 14th Riverside Classic 2019
169 Wildstyle Win 15-7 1411.29 Jul 14th Riverside Classic 2019
104 Moontower Loss 12-13 1034.12 Jul 14th Riverside Classic 2019
55 Malice in Wonderland Win 12-11 1534.77 Aug 10th HoDown ShowDown 23 GOAT
165 APEX Win 13-8 1341.27 Aug 10th HoDown ShowDown 23 GOAT
159 Rowdy Win 13-6 1500.64 Aug 10th HoDown ShowDown 23 GOAT
105 Auburn HeyDay Loss 10-13 829.98 Aug 10th HoDown ShowDown 23 GOAT
99 Mutiny Loss 11-15 789.31 Aug 11th HoDown ShowDown 23 GOAT
103 Tyrannis Win 13-12 1285.03 Aug 11th HoDown ShowDown 23 GOAT
105 Auburn HeyDay Win 13-9 1576.69 Aug 11th HoDown ShowDown 23 GOAT
256 Balloon Win 13-10 706 Sep 7th Texas Mixed Club Sectional Championship 2019
292 Mixfits** Win 13-1 517.34 Ignored Sep 7th Texas Mixed Club Sectional Championship 2019
149 Tex Mix Win 11-5 1526.68 Sep 7th Texas Mixed Club Sectional Championship 2019
104 Moontower Win 13-10 1487.26 Sep 7th Texas Mixed Club Sectional Championship 2019
26 Public Enemy Loss 8-10 1435.62 Sep 8th Texas Mixed Club Sectional Championship 2019
149 Tex Mix Win 10-5 1500.58 Sep 8th Texas Mixed Club Sectional Championship 2019
100 Risky Business Win 9-6 1587.57 Sep 8th Texas Mixed Club Sectional Championship 2019
45 Waterloo Loss 8-12 1052.04 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)