#62 Trainwreck (8-7)

avg: 769.67  •  sd: 94.04  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
105 Colorado Cutthroat: Youth Club U-20 Girls** Win 12-5 600 Ignored Jun 22nd Fort Collins Summer Solstice 2019
3 Molly Brown** Loss 1-13 1749.43 Ignored Jun 22nd Fort Collins Summer Solstice 2019
67 Jackwagon Loss 8-9 585.59 Jun 22nd Fort Collins Summer Solstice 2019
28 Wicked Loss 7-11 943.12 Jun 23rd Fort Collins Summer Solstice 2019
55 Dish Loss 7-11 408.79 Jun 23rd Fort Collins Summer Solstice 2019
105 Colorado Cutthroat: Youth Club U-20 Girls** Win 13-4 600 Ignored Jun 23rd Fort Collins Summer Solstice 2019
60 Crackle Loss 9-13 414.51 Aug 17th Cooler Classic 31
102 The Matriarchy** Win 13-1 234.85 Ignored Aug 17th Cooler Classic 31
87 Cold Cuts Win 13-8 733.06 Aug 17th Cooler Classic 31
91 MystiKuE Win 13-7 738.82 Aug 17th Cooler Classic 31
53 Stellar Loss 7-9 692.9 Aug 18th Cooler Classic 31
60 Crackle Win 6-5 958.07 Aug 18th Cooler Classic 31
30 Colorado Small Batch** Loss 4-15 797.71 Ignored Sep 7th Rocky Mountain Womens Club Sectional Championship 2019
67 Jackwagon Win 11-4 1310.59 Sep 7th Rocky Mountain Womens Club Sectional Championship 2019
- COSMOS** Win 15-2 600 Ignored Sep 7th Rocky Mountain Womens 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)