#115 Rougaroux (9-11)

avg: 754.42  •  sd: 67.31  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
61 Tanasi Loss 7-12 575.41 Jul 7th Huckfest 2018
98 Southern Hospitality Win 10-9 974.05 Jul 7th Huckfest 2018
97 Rush Hour Loss 9-10 726.18 Jul 7th Huckfest 2018
160 Duel Win 8-3 825.03 Jul 7th Huckfest 2018
55 Ironmen Loss 8-13 656.06 Jul 8th Huckfest 2018
102 H.O.G. Ultimate Loss 8-11 461.91 Jul 8th Huckfest 2018
71 UpRoar Win 13-12 1148.21 Jul 8th Huckfest 2018
82 Riverside Loss 5-13 344.4 Aug 4th PBJ 2018
151 Riverside Messengers-B Win 13-7 893.3 Aug 4th PBJ 2018
69 Gamble Win 11-10 1158.45 Aug 4th PBJ 2018
150 The Bayou Boys Win 13-10 669.39 Aug 4th PBJ 2018
82 Riverside Loss 5-9 415.35 Aug 5th PBJ 2018
147 DUCS Win 13-6 1011.7 Aug 5th PBJ 2018
43 Clutch Loss 12-15 954.23 Aug 5th PBJ 2018
98 Southern Hospitality Loss 10-11 724.05 Sep 8th Gulf Coast Mens Sectional Championship 2018
55 Ironmen Loss 6-10 656.06 Sep 8th Gulf Coast Mens Sectional Championship 2018
106 Battleship Loss 11-13 549.04 Sep 8th Gulf Coast Mens Sectional Championship 2018
145 Rampage Win 13-6 1035.85 Sep 8th Gulf Coast Mens Sectional Championship 2018
165 War Machine** Win 13-4 703.5 Ignored Sep 9th Gulf Coast Mens Sectional Championship 2018
101 Memphis Belle Loss 10-12 591.75 Sep 9th Gulf Coast Mens 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)