#23 Flight (7-6)

avg: 1539.4  •  sd: 85.11  •  top 16/20: 2.8%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
2 Phoenix Loss 9-15 1964.26 Jul 15th TCT Pro Elite Challenge East 2023
12 Nemesis Loss 7-13 1373.93 Jul 15th TCT Pro Elite Challenge East 2023
72 KnoxFusion** Win 14-5 1093.2 Ignored Jul 15th TCT Pro Elite Challenge East 2023
37 Agency Win 12-8 1590.23 Jul 16th TCT Pro Elite Challenge East 2023
9 Schwa Loss 11-15 1720.54 Aug 19th TCT Elite Select Challenge 2023
17 Ozone Win 12-9 2031.76 Aug 19th TCT Elite Select Challenge 2023
54 Stellar** Win 14-6 1476.94 Ignored Aug 19th TCT Elite Select Challenge 2023
7 BENT Loss 6-13 1531.43 Aug 20th TCT Elite Select Challenge 2023
13 Nightlock Loss 7-12 1311.01 Aug 20th TCT Elite Select Challenge 2023
16 Grit Loss 6-14 1090.14 Aug 20th TCT Elite Select Challenge 2023
43 Zephyr Win 15-8 1590.1 Sep 9th 2023 Womens Founders Sectional Championship
63 Pine Baroness Win 15-7 1296.66 Sep 9th 2023 Womens Founders Sectional Championship
73 Incline** Win 15-3 1070.29 Ignored Sep 9th 2023 Womens Founders Sectional Championship
**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)