#213 Stag (4-13)

avg: 558.46  •  sd: 65.21  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
35 baNC** Loss 3-13 1044.34 Ignored Jul 22nd Filling the Void 2023
248 Power Point Ultimate Win 13-8 633.79 Jul 22nd Filling the Void 2023
101 Triumph** Loss 2-13 612.73 Ignored Jul 22nd Filling the Void 2023
114 Bloom Loss 3-15 549.31 Jul 23rd Filling the Void 2023
138 Queen City Kings Loss 5-9 466.09 Jul 23rd Filling the Void 2023
85 Space Cowboys** Loss 2-13 712.3 Ignored Jul 23rd Filling the Void 2023
120 El Niño Loss 3-15 491.7 Aug 5th Swan Boat 2023
114 Bloom Loss 4-15 549.31 Aug 5th Swan Boat 2023
217 Psychedelic Win 12-9 878.33 Aug 5th Swan Boat 2023
42 UpRoar** Loss 1-15 1005.32 Ignored Aug 5th Swan Boat 2023
118 Raptor Loss 7-13 554.06 Aug 6th Swan Boat 2023
132 Vicious Cycle Loss 6-14 437.72 Aug 6th Swan Boat 2023
114 Bloom Loss 5-13 549.31 Sep 9th 2023 Mens Florida Sectional Championship
217 Psychedelic Loss 8-12 91.81 Sep 9th 2023 Mens Florida Sectional Championship
42 UpRoar** Loss 3-13 1005.32 Ignored Sep 9th 2023 Mens Florida Sectional Championship
247 Bloomin' Reptars Win 13-5 755.4 Sep 9th 2023 Mens Florida Sectional Championship
247 Bloomin' Reptars Win 15-5 755.4 Sep 10th 2023 Mens Florida 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)