#28 Wicked (10-10)

avg: 1410.01  •  sd: 68.63  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
105 Colorado Cutthroat: Youth Club U-20 Girls** Win 13-3 600 Ignored Jun 22nd Fort Collins Summer Solstice 2019
3 Molly Brown** Loss 5-13 1749.43 Ignored Jun 22nd Fort Collins Summer Solstice 2019
55 Dish Win 10-8 1138.35 Jun 22nd Fort Collins Summer Solstice 2019
62 Trainwreck Win 11-7 1236.57 Jun 23rd Fort Collins Summer Solstice 2019
67 Jackwagon** Win 8-2 1310.59 Ignored Jun 23rd Fort Collins Summer Solstice 2019
55 Dish Win 13-3 1475.68 Jun 23rd Fort Collins Summer Solstice 2019
3 Molly Brown Loss 6-10 1853.27 Jun 23rd Fort Collins Summer Solstice 2019
13 Ozone Loss 5-13 1304.57 Jul 13th TCT Pro Elite Challenge 2019
6 6ixers** Loss 5-13 1639.36 Ignored Jul 13th TCT Pro Elite Challenge 2019
12 Rival Loss 8-13 1416.88 Jul 13th TCT Pro Elite Challenge 2019
14 Wildfire Loss 7-11 1403.14 Jul 14th TCT Pro Elite Challenge 2019
30 Colorado Small Batch Win 9-6 1816.27 Jul 14th TCT Pro Elite Challenge 2019
20 Pop Loss 9-12 1288.01 Jul 14th TCT Pro Elite Challenge 2019
18 Underground Loss 10-12 1458.36 Aug 17th TCT Elite Select Challenge 2019
12 Rival Loss 4-11 1313.04 Aug 17th TCT Elite Select Challenge 2019
19 BENT Loss 8-11 1327.94 Aug 17th TCT Elite Select Challenge 2019
55 Dish Win 9-6 1294.25 Aug 18th TCT Elite Select Challenge 2019
33 Heist Win 9-4 1971.72 Aug 18th TCT Elite Select Challenge 2019
76 Iowa Wild Rose** Win 14-3 1079.76 Ignored Sep 7th West Plains Womens Club Sectional Championship 2019
53 Stellar Win 10-9 1097.24 Sep 7th West Plains 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)