#41 Frolic (16-9)

avg: 1039.54  •  sd: 127.58  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
64 Suffrage Loss 13-14 382.05 Jun 23rd Boston Invite 2018
- Tempest Win 13-9 1096.55 Jun 23rd Boston Invite 2018
56 Brooklyn Book Club Win 15-8 1258.41 Jun 23rd Boston Invite 2018
- Salt City Spirit** Win 15-3 496.79 Ignored Jun 23rd Boston Invite 2018
51 Vice Win 15-9 1310.89 Jun 24th Boston Invite 2018
42 Pine Baroness Win 15-11 1403.8 Jun 24th Boston Invite 2018
51 Vice Win 13-8 1291.57 Jul 21st Vacationland 2018
65 PLOW Win 13-2 1086.61 Jul 21st Vacationland 2018
78 HOPE** Win 11-0 259.81 Ignored Jul 21st Vacationland 2018
- Rip Tide** Win 11-1 384.81 Ignored Jul 21st Vacationland 2018
- BUDA** Win 11-2 633.01 Ignored Jul 21st Vacationland 2018
51 Vice Loss 6-9 376.84 Aug 25th Vermont Round Robin 2018
65 PLOW Win 15-2 1086.61 Aug 25th Vermont Round Robin 2018
51 Vice Win 12-6 1374.72 Sep 8th East New England Womens Sectional Championship 2018
39 Savage Win 12-11 1175.05 Sep 8th East New England Womens Sectional Championship 2018
78 HOPE** Win 15-2 259.81 Ignored Sep 8th East New England Womens Sectional Championship 2018
21 Siege Loss 8-15 1034.83 Sep 8th East New England Womens Sectional Championship 2018
78 HOPE** Win 15-2 259.81 Ignored Sep 9th East New England Womens Sectional Championship 2018
39 Savage Loss 11-12 925.05 Sep 9th East New England Womens Sectional Championship 2018
28 V-SQUAD Loss 6-12 788.36 Sep 22nd Northeast Womens Regional Championship 2018
51 Vice Win 12-7 1315.92 Sep 22nd Northeast Womens Regional Championship 2018
1 Brute Squad** Loss 1-13 1862.67 Ignored Sep 22nd Northeast Womens Regional Championship 2018
21 Siege Loss 4-13 999.64 Sep 22nd Northeast Womens Regional Championship 2018
22 BENT Loss 6-15 979.71 Sep 23rd Northeast Womens Regional Championship 2018
39 Savage Loss 14-15 925.05 Sep 23rd Northeast 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)