#38 Garden State Ultimate (12-8)

avg: 1455.02  •  sd: 66.47  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
34 Mad Men Loss 11-13 1245.57 Jul 27th TCT Select Flight Invite East 2019
28 Nain Rouge Loss 11-12 1421.08 Jul 27th TCT Select Flight Invite East 2019
8 GOAT Loss 9-13 1578.66 Jul 27th TCT Select Flight Invite East 2019
59 Big Wrench Win 15-6 1871.45 Jul 27th TCT Select Flight Invite East 2019
41 MKE Win 13-10 1738.98 Jul 28th TCT Select Flight Invite East 2019
30 Black Market I Loss 9-13 1116.81 Jul 28th TCT Select Flight Invite East 2019
42 Shade Win 13-10 1738.17 Aug 10th Chesapeake Open 2019
24 Brickhouse Win 13-12 1693.2 Aug 10th Chesapeake Open 2019
59 Big Wrench Win 13-12 1396.45 Aug 10th Chesapeake Open 2019
135 Oakgrove Boys Win 13-7 1424.49 Aug 10th Chesapeake Open 2019
22 Vault Loss 11-13 1437.08 Aug 11th Chesapeake Open 2019
27 H.I.P Loss 13-15 1334.37 Aug 11th Chesapeake Open 2019
171 Adelphos** Win 13-5 1256.81 Ignored Sep 7th Founders Mens Club Sectional Championship 2019
216 Apollo 7** Win 13-1 941.66 Ignored Sep 7th Founders Mens Club Sectional Championship 2019
211 Bearproof** Win 13-0 991.47 Ignored Sep 7th Founders Mens Club Sectional Championship 2019
58 Rumspringa Loss 8-13 780.91 Sep 7th Founders Mens Club Sectional Championship 2019
43 CITYWIDE Special Loss 11-12 1276.95 Sep 8th Founders Mens Club Sectional Championship 2019
134 Green Means Bro Win 13-6 1476.72 Sep 8th Founders Mens Club Sectional Championship 2019
131 Slag Dump Win 13-7 1450.19 Sep 8th Founders Mens Club Sectional Championship 2019
58 Rumspringa Win 13-3 1877.07 Sep 8th Founders Mens 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)