#217 Flood Zone (3-13)

avg: 409.59  •  sd: 64.95  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
175 Oasis Ultimate Loss 8-13 197.91 Jul 8th Summer Glazed Daze 2023
107 FlyTrap** Loss 4-15 438.84 Ignored Jul 8th Summer Glazed Daze 2023
141 Catalyst Loss 8-15 301.57 Jul 8th Summer Glazed Daze 2023
202 Spice Loss 4-15 -64.29 Jul 9th Summer Glazed Daze 2023
66 Malice in Wonderland** Loss 3-15 668.7 Ignored Aug 12th HoDown Showdown 2023
152 Verdant Loss 8-14 288.46 Aug 12th HoDown Showdown 2023
86 Crown Peach** Loss 4-14 546.98 Ignored Aug 12th HoDown Showdown 2023
236 Rampage Win 13-3 825.56 Aug 13th HoDown Showdown 2023
248 Pickles Win 15-6 650.83 Aug 13th HoDown Showdown 2023
195 MoonPi Loss 9-11 318.72 Aug 13th HoDown Showdown 2023
34 Dirty Bird** Loss 3-13 983.11 Ignored Sep 9th 2023 Mixed East Coast Sectional Championship
195 MoonPi Loss 8-9 442.93 Sep 9th 2023 Mixed East Coast Sectional Championship
73 m'kay Ultimate** Loss 3-13 633.75 Ignored Sep 9th 2023 Mixed East Coast Sectional Championship
86 Crown Peach Loss 7-13 589.45 Sep 9th 2023 Mixed East Coast Sectional Championship
218 Hairy Otter Win 11-10 514.72 Sep 10th 2023 Mixed East Coast Sectional Championship
152 Verdant Loss 4-13 224.5 Sep 10th 2023 Mixed East Coast 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)