#140 Zero Strategy (7-8)

avg: 866.78  •  sd: 55.62  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
199 Rainbow Win 15-8 1118.94 Jul 8th AntlerLock
103 Bench Win 12-8 1491.55 Jul 8th AntlerLock
118 Lampshade Loss 9-11 756.95 Jul 8th AntlerLock
247 Vintage Ultimate Club Win 14-8 595.49 Jul 8th AntlerLock
149 FLI Win 6-5 954.82 Jul 9th AntlerLock
52 The Buoy Association Loss 5-15 783.54 Jul 9th AntlerLock
103 Bench Loss 7-10 660.73 Aug 19th Ow My Knee 2023
220 Compost Plates Win 13-4 987.94 Aug 19th Ow My Knee 2023
220 Compost Plates Win 7-1 987.94 Aug 19th Ow My Knee 2023
72 Townies Loss 8-13 739.88 Aug 19th Ow My Knee 2023
87 We are a club team Loss 9-11 880.01 Sep 9th 2023 Mixed West New England Sectional Championship
135 Harfang ultimate Loss 11-12 757.03 Sep 9th 2023 Mixed West New England Sectional Championship
55 LAX-Senior Loss 7-13 774.65 Sep 9th 2023 Mixed West New England Sectional Championship
219 Sugar Shack Win 13-5 989.3 Sep 10th 2023 Mixed West New England Sectional Championship
55 LAX-Senior Loss 5-13 732.19 Sep 10th 2023 Mixed West New England 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)