#7 XIST (22-6)

avg: 1920.86  •  sd: 50.89  •  top 16/20: 99%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
14 Rally Win 15-8 2398.55 Jun 24th FROGS
38 Pittsburgh Port Authority Win 15-3 2101.11 Jun 24th FROGS
50 Jughandle Win 15-2 1993.45 Jun 24th FROGS
45 Wild Card Win 15-5 2057.53 Jun 24th FROGS
6 Sprocket Win 15-9 2440.44 Jun 25th FROGS
47 Darkwing Win 10-8 1682.16 Jul 15th Boston Invite 2023
38 Pittsburgh Port Authority Win 10-9 1626.11 Jul 15th Boston Invite 2023
62 Funk** Win 13-4 1861.89 Ignored Jul 15th Boston Invite 2023
71 Grand Army** Win 13-1 1804.31 Ignored Jul 15th Boston Invite 2023
11 Seattle Mixtape Win 13-11 2102.87 Aug 4th 2023 US Open Club Championships ICC
18 Polar Bears Win 14-12 1982.17 Aug 4th 2023 US Open Club Championships ICC
18 Polar Bears Loss 11-15 1380.05 Aug 5th 2023 US Open Club Championships ICC
4 BFG Loss 14-15 1834.6 Aug 5th 2023 US Open Club Championships ICC
11 Seattle Mixtape Win 11-10 1999.03 Aug 6th 2023 US Open Club Championships ICC
2 Drag'n Thrust Win 14-10 2470.88 Sep 2nd TCT Pro Championships 2023
4 BFG Loss 11-14 1646.26 Sep 2nd TCT Pro Championships 2023
21 Love Tractor Win 14-9 2180.9 Sep 2nd TCT Pro Championships 2023
18 Polar Bears Loss 10-13 1433.07 Sep 3rd TCT Pro Championships 2023
16 Hybrid Win 12-9 2169.22 Sep 3rd TCT Pro Championships 2023
20 Toro Win 12-9 2082.85 Sep 3rd TCT Pro Championships 2023
21 Love Tractor Win 11-8 2072.64 Sep 4th TCT Pro Championships 2023
13 Slow Loss 12-15 1549.09 Sep 23rd 2023 Northeast Mixed Regional Championship
64 Obscure Win 13-6 1850.38 Sep 23rd 2023 Northeast Mixed Regional Championship
48 Townies Win 13-9 1821.43 Sep 23rd 2023 Northeast Mixed Regional Championship
45 Wild Card Win 15-10 1911.14 Sep 23rd 2023 Northeast Mixed Regional Championship
6 Sprocket Loss 11-15 1543.8 Sep 24th 2023 Northeast Mixed Regional Championship
44 The Buoy Association Win 15-6 2074.01 Sep 24th 2023 Northeast Mixed Regional Championship
48 Townies Win 15-7 2002.86 Sep 24th 2023 Northeast Mixed Regional 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)