#43 Dirty Bird (17-8)

avg: 1478.32  •  sd: 67.07  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
208 Piedmont United** Win 15-1 1069.97 Ignored Aug 12th HoDown Showdown 2023
126 Barefoot Win 15-7 1531.7 Aug 12th HoDown Showdown 2023
199 MoonPi** Win 15-0 1131.91 Ignored Aug 12th HoDown Showdown 2023
112 Dizzy Kitty Win 15-7 1603.82 Aug 13th HoDown Showdown 2023
61 Malice in Wonderland Win 14-8 1830.28 Aug 13th HoDown Showdown 2023
52 Roma Ultima Win 13-10 1682.24 Aug 13th HoDown Showdown 2023
17 Lawless Win 11-10 1888.19 Aug 19th TCT Elite Select Challenge 2023
1 shame. Loss 8-15 1602.4 Aug 19th TCT Elite Select Challenge 2023
6 Sprocket Loss 9-15 1409.48 Aug 19th TCT Elite Select Challenge 2023
42 The Chad Larson Experience Win 11-10 1606.04 Aug 20th TCT Elite Select Challenge 2023
12 'Shine Loss 7-13 1293.55 Aug 20th TCT Elite Select Challenge 2023
17 Lawless Win 10-9 1888.19 Aug 20th TCT Elite Select Challenge 2023
219 Flood Zone** Win 13-3 976.91 Ignored Sep 9th 2023 Mixed East Coast Sectional Championship
93 Crown Peach Loss 8-11 713 Sep 9th 2023 Mixed East Coast Sectional Championship
199 MoonPi** Win 13-3 1131.91 Ignored Sep 9th 2023 Mixed East Coast Sectional Championship
87 m'kay Ultimate Win 13-10 1447.18 Sep 9th 2023 Mixed East Coast Sectional Championship
12 'Shine Loss 11-15 1469.92 Sep 10th 2023 Mixed East Coast Sectional Championship
93 Crown Peach Win 15-8 1643.42 Sep 10th 2023 Mixed East Coast Sectional Championship
52 Roma Ultima Win 15-8 1918.91 Sep 10th 2023 Mixed East Coast Sectional Championship
148 Verdant** Win 13-5 1410.39 Ignored Sep 23rd 2023 Southeast Mixed Regional Championship
87 m'kay Ultimate Win 13-7 1676.57 Sep 23rd 2023 Southeast Mixed Regional Championship
22 Storm Loss 4-13 1089.35 Sep 23rd 2023 Southeast Mixed Regional Championship
98 FlyTrap Win 15-7 1653.4 Sep 23rd 2023 Southeast Mixed Regional Championship
20 Toro Loss 8-15 1172.68 Sep 24th 2023 Southeast Mixed Regional Championship
69 Too Much Fun Loss 10-14 818.58 Sep 24th 2023 Southeast Mixed Regional 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)