#145 Rampage (7-19)

avg: 435.85  •  sd: 57.6  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
44 El Niño Loss 8-13 748.84 Jun 16th ATL Classic 2018
71 UpRoar Loss 8-13 527.05 Jun 16th ATL Classic 2018
165 War Machine Win 13-8 599.66 Jun 16th ATL Classic 2018
102 H.O.G. Ultimate Loss 10-12 589.39 Jun 16th ATL Classic 2018
107 BaNC Loss 7-13 218.11 Jun 17th ATL Classic 2018
66 Bullet** Loss 2-13 441.59 Ignored Jun 17th ATL Classic 2018
165 War Machine Win 11-7 570.39 Jun 17th ATL Classic 2018
71 UpRoar Loss 5-7 695.07 Jul 7th Huckfest 2018
165 War Machine Win 13-3 703.5 Jul 7th Huckfest 2018
- Nashvillians Win 11-9 620.72 Jul 7th Huckfest 2018
102 H.O.G. Ultimate Loss 6-13 227.51 Jul 7th Huckfest 2018
165 War Machine Win 13-8 599.66 Jul 8th Huckfest 2018
- Austin Amigos Loss 9-10 217.14 Jul 8th Huckfest 2018
- Nashvillians Loss 8-12 -69.64 Jul 8th Huckfest 2018
160 Duel Loss 9-13 -193.53 Aug 18th Trestlemania III
71 UpRoar Loss 8-13 527.05 Aug 18th Trestlemania III
41 Coastal Empire** Loss 2-13 670.34 Ignored Aug 18th Trestlemania III
102 H.O.G. Ultimate Loss 7-13 269.98 Aug 18th Trestlemania III
106 Battleship Loss 13-14 652.88 Aug 19th Trestlemania III
160 Duel Win 13-6 825.03 Aug 19th Trestlemania III
115 Rougaroux Loss 6-13 154.42 Sep 8th Gulf Coast Mens Sectional Championship 2018
106 Battleship Loss 4-13 177.88 Sep 8th Gulf Coast Mens Sectional Championship 2018
165 War Machine Win 11-5 703.5 Sep 8th Gulf Coast Mens Sectional Championship 2018
55 Ironmen Loss 6-13 552.22 Sep 8th Gulf Coast Mens Sectional Championship 2018
98 Southern Hospitality Loss 6-12 269.74 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)