#3 AMP (11-4)

avg: 2067.85  •  sd: 63.87  •  top 16/20: 100%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
50 Jughandle Win 12-8 1834.6 Jul 15th TCT Pro Elite Challenge East 2023
30 Waterloo Win 10-8 1877.97 Jul 15th TCT Pro Elite Challenge East 2023
6 Sprocket Loss 9-12 1579.6 Jul 15th TCT Pro Elite Challenge East 2023
29 RAMP Win 11-9 1871.96 Jul 16th TCT Pro Elite Challenge East 2023
12 'Shine Loss 8-9 1726.08 Jul 16th TCT Pro Elite Challenge East 2023
16 Hybrid Win 13-12 1948.85 Jul 16th TCT Pro Elite Challenge East 2023
11 Seattle Mixtape Loss 12-15 1573.53 Aug 4th 2023 US Open Club Championships ICC
1 shame. Win 15-12 2467.7 Aug 5th 2023 US Open Club Championships ICC
4 BFG Win 15-13 2173.78 Aug 6th 2023 US Open Club Championships ICC
13 Slow Win 11-8 2215.19 Sep 2nd TCT Pro Championships 2023
8 NOISE Win 15-9 2409.37 Sep 2nd TCT Pro Championships 2023
16 Hybrid Win 15-9 2339.33 Sep 2nd TCT Pro Championships 2023
20 Toro Win 13-7 2295.02 Sep 3rd TCT Pro Championships 2023
4 BFG Loss 14-15 1834.6 Sep 3rd TCT Pro Championships 2023
8 NOISE Win 14-9 2367.75 Sep 4th TCT Pro Championships 2023
**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)