#55 Dish (7-14)

avg: 875.68  •  sd: 80.56  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
28 Wicked Loss 8-10 1147.35 Jun 22nd Fort Collins Summer Solstice 2019
67 Jackwagon Win 9-7 989.92 Jun 22nd Fort Collins Summer Solstice 2019
105 Colorado Cutthroat: Youth Club U-20 Girls** Win 13-4 600 Ignored Jun 22nd Fort Collins Summer Solstice 2019
62 Trainwreck Win 11-7 1236.57 Jun 23rd Fort Collins Summer Solstice 2019
28 Wicked Loss 3-13 810.01 Jun 23rd Fort Collins Summer Solstice 2019
3 Molly Brown** Loss 3-13 1749.43 Ignored Jun 23rd Fort Collins Summer Solstice 2019
67 Jackwagon Win 9-8 835.59 Jun 23rd Fort Collins Summer Solstice 2019
18 Underground** Loss 5-13 1096.48 Ignored Jul 27th TCT Select Flight Invite East 2019
19 BENT** Loss 5-13 1093.55 Ignored Jul 27th TCT Select Flight Invite East 2019
22 Tabby Rosa Loss 10-13 1229.55 Jul 27th TCT Select Flight Invite East 2019
66 Hot Metal Loss 8-13 223.48 Jul 27th TCT Select Flight Invite East 2019
46 Indy Rogue Win 13-9 1518.73 Jul 28th TCT Select Flight Invite East 2019
38 FAB Loss 4-13 615.76 Jul 28th TCT Select Flight Invite East 2019
14 Wildfire** Loss 4-15 1270.04 Ignored Aug 17th TCT Elite Select Challenge 2019
17 Showdown** Loss 4-15 1127.24 Ignored Aug 17th TCT Elite Select Challenge 2019
13 Ozone** Loss 2-15 1304.57 Ignored Aug 17th TCT Elite Select Challenge 2019
28 Wicked Loss 6-9 991.45 Aug 18th TCT Elite Select Challenge 2019
20 Pop** Loss 3-12 1033.37 Ignored Aug 18th TCT Elite Select Challenge 2019
106 Frenzy** Win 13-0 600 Ignored Sep 7th Central Plains Womens Club Sectional Championship 2019
72 Helix Win 10-9 758.8 Sep 7th Central Plains Womens Club Sectional Championship 2019
46 Indy Rogue Loss 4-13 500.16 Sep 7th Central 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)