#57 Helix (13-14)

avg: 672.41  •  sd: 63.39  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
75 Autonomous Win 13-3 735.98 Jun 16th SCINNY 2018
55 Sureshot Loss 9-11 445.43 Jun 16th SCINNY 2018
58 Stellar Win 11-9 912.49 Jun 16th SCINNY 2018
31 Indy Rogue Loss 2-13 603.99 Jun 16th SCINNY 2018
60 Eliza Furnace Win 10-8 869.24 Jun 24th SCINNY 2018
34 Dish Loss 7-14 577.91 Jun 24th SCINNY 2018
69 Viva Win 13-4 985.9 Jul 28th TCT Select Flight Invite 2018
24 Wicked** Loss 4-13 892.17 Ignored Jul 28th TCT Select Flight Invite 2018
56 Brooklyn Book Club Win 8-6 994.1 Jul 28th TCT Select Flight Invite 2018
44 Crackle Loss 8-13 470.58 Jul 28th TCT Select Flight Invite 2018
46 Venom Win 13-8 1369.83 Jul 29th TCT Select Flight Invite 2018
38 Jackwagon Loss 7-11 614.64 Jul 29th TCT Select Flight Invite 2018
16 Heist** Loss 1-13 1122.08 Ignored Aug 4th Heavyweights 2018
73 Honey Pot Win 11-4 849.43 Aug 4th Heavyweights 2018
66 Iowa Wild Rose Win 8-7 602.26 Aug 4th Heavyweights 2018
74 MystiKuE Win 10-3 831.1 Aug 4th Heavyweights 2018
58 Stellar Loss 9-12 317.92 Aug 5th Heavyweights 2018
75 Autonomous Win 9-7 415.32 Aug 5th Heavyweights 2018
50 Cold Cuts Loss 9-11 569.06 Aug 5th Heavyweights 2018
- Frenzy** Win 13-3 600 Ignored Sep 8th Central Plains Womens Sectional Championship 2018
34 Dish Loss 11-12 1035.8 Sep 8th Central Plains Womens Sectional Championship 2018
31 Indy Rogue Loss 2-13 603.99 Sep 8th Central Plains Womens Sectional Championship 2018
11 Rival** Loss 1-13 1204.18 Ignored Sep 22nd Great Lakes Womens Regional Championship 2018
34 Dish Loss 2-13 560.8 Sep 22nd Great Lakes Womens Regional Championship 2018
75 Autonomous Win 13-3 735.98 Sep 22nd Great Lakes Womens Regional Championship 2018
61 Notorious C.L.E. Loss 11-15 215.28 Sep 22nd Great Lakes Womens Regional Championship 2018
75 Autonomous Win 11-8 501.59 Sep 23rd Great Lakes 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)