#89 Tempo (2-13)

avg: 214.52  •  sd: 104.68  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
68 Trash. Loss 3-13 73.17 Jun 22nd Eugene Summer Solstice 2019
49 Korra** Loss 3-9 460.1 Ignored Jun 22nd Eugene Summer Solstice 2019
35 Seattle Soul** Loss 1-13 657.99 Ignored Jun 22nd Eugene Summer Solstice 2019
59 Portland Ivy** Loss 3-13 254.64 Ignored Jun 22nd Eugene Summer Solstice 2019
56 Venom Loss 5-9 342.71 Jun 23rd Eugene Summer Solstice 2019
74 Koi Loss 6-11 34.02 Jun 23rd Eugene Summer Solstice 2019
82 Seven Devils Loss 5-7 -27.93 Jun 23rd Eugene Summer Solstice 2019
88 Ultraviolet Loss 7-9 -51.07 Jul 27th The Friend Zone
88 Ultraviolet Win 6-3 774.96 Jul 27th The Friend Zone
75 Viva Win 9-4 1161.06 Jul 27th The Friend Zone
75 Viva Loss 3-9 -38.94 Jul 27th The Friend Zone
88 Ultraviolet Loss 6-8 -72.23 Sep 8th Nor Cal Womens Club Sectional Championship 2019
- 2nd Wave Loss 3-8 145.46 Sep 8th Nor Cal Womens Club Sectional Championship 2019
38 FAB** Loss 1-13 615.76 Ignored Sep 8th Nor Cal Womens Club Sectional Championship 2019
23 LOL** Loss 1-13 912.02 Ignored Sep 8th Nor Cal 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)