#47 Trainwreck (7-13)

avg: 838.18  •  sd: 55.11  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
26 Elevate Loss 2-15 801.11 Jun 16th Fort Collins Summer Solstice 2018
25 Colorado Small Batch Loss 7-15 847.1 Jun 16th Fort Collins Summer Solstice 2018
50 Cold Cuts Win 12-4 1418.27 Jun 16th Fort Collins Summer Solstice 2018
38 Jackwagon Loss 8-11 715.92 Jun 17th Fort Collins Summer Solstice 2018
- Colorado Cutthroat Win 15-8 1034.88 Jun 17th Fort Collins Summer Solstice 2018
52 Deadly Viper Assassination Squad Win 14-12 1014.53 Jun 17th Fort Collins Summer Solstice 2018
69 Viva Win 13-3 985.9 Aug 18th Ski Town Classic 2018
68 Seven Devils Win 13-5 1016.4 Aug 18th Ski Town Classic 2018
26 Elevate Loss 4-13 801.11 Aug 18th Ski Town Classic 2018
52 Deadly Viper Assassination Squad Win 10-7 1183.24 Aug 19th Ski Town Classic 2018
33 Rampage Loss 4-13 563.46 Aug 19th Ski Town Classic 2018
38 Jackwagon Loss 9-12 736.17 Aug 19th Ski Town Classic 2018
38 Jackwagon Loss 9-12 736.17 Sep 8th Rocky Mountain Womens Sectional Championship 2018
25 Colorado Small Batch Loss 6-13 847.1 Sep 8th Rocky Mountain Womens Sectional Championship 2018
54 Maeve Loss 10-15 263.58 Sep 22nd South Central Womens Regional Championship 2018
62 Inferno Win 12-8 1014.32 Sep 22nd South Central Womens Regional Championship 2018
3 Molly Brown** Loss 1-15 1673.57 Ignored Sep 22nd South Central Womens Regional Championship 2018
38 Jackwagon Loss 11-14 768.2 Sep 22nd South Central Womens Regional Championship 2018
14 Showdown** Loss 0-15 1131.13 Ignored Sep 23rd South Central Womens Regional Championship 2018
25 Colorado Small Batch** Loss 3-15 847.1 Ignored Sep 23rd South Central Womens Regional 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)