#31 Garden State Ultimate (12-9)

avg: 1676.12  •  sd: 65.31  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
39 Pittsburgh Temper Win 13-11 1853.55 Jun 24th Phantom Invite 2023
110 CITYWIDE Special Win 13-6 1767.75 Jun 24th Phantom Invite 2023
12 Raleigh-Durham United Loss 7-13 1449.09 Jun 24th Phantom Invite 2023
38 Phantom Win 11-10 1749.98 Jun 25th Phantom Invite 2023
2 PoNY Loss 6-13 1733.94 Jun 25th Phantom Invite 2023
39 Pittsburgh Temper Win 13-10 1952.85 Jun 25th Phantom Invite 2023
6 Ring of Fire Loss 10-12 1942.54 Jul 15th TCT Pro Elite Challenge East 2023
27 Omen Loss 12-15 1439.29 Jul 15th TCT Pro Elite Challenge East 2023
25 Mad Men Loss 11-14 1443.93 Jul 15th TCT Pro Elite Challenge East 2023
39 Pittsburgh Temper Loss 10-13 1296.57 Jul 16th TCT Pro Elite Challenge East 2023
7 DiG Loss 6-15 1567.51 Aug 19th TCT Elite Select Challenge 2023
22 SoCal Condors Win 14-12 2073.36 Aug 19th TCT Elite Select Challenge 2023
34 Trident I Loss 9-12 1316.44 Aug 19th TCT Elite Select Challenge 2023
28 Tanasi Win 14-11 2045.79 Aug 20th TCT Elite Select Challenge 2023
12 Raleigh-Durham United Loss 8-13 1510.46 Aug 20th TCT Elite Select Challenge 2023
50 H.I.P Win 13-6 2153.51 Aug 20th TCT Elite Select Challenge 2023
235 Adelphos** Win 13-3 974.59 Ignored Sep 9th 2023 Mens Founders Sectional Championship
91 Helots Win 12-10 1533 Sep 9th 2023 Mens Founders Sectional Championship
160 Happy Valley Roofing and Mustache Supply Win 13-7 1428.63 Sep 9th 2023 Mens Founders Sectional Championship
162 Delco Club** Win 12-5 1463.83 Ignored Sep 9th 2023 Mens Founders Sectional Championship
177 JAWN** Win 15-5 1412.44 Ignored Sep 16th 2023 Mens Founders Sectional Championship
**Blowout Eligible

FAQ

What is the uncertainty of the mean?
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
What's the algorithm again?
  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
Is there a longer explanation of all this?
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)