#32 Sprout (8-5)

avg: 1782.94  •  sd: 70.07  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
16 Florida Untied Win 12-10 2333.73 Jun 28th 2025 Pro Elite Challenge East
25 Mallard Loss 10-15 1495.95 Jun 28th 2025 Pro Elite Challenge East
2 PoNY** Loss 6-15 2005.34 Ignored Jun 28th 2025 Pro Elite Challenge East
41 Garden State Ultimate Win 15-11 2038.13 Jun 29th 2025 Pro Elite Challenge East
23 Johnny Bravo-Varsity Loss 11-12 1876.66 Jun 29th 2025 Pro Elite Challenge East
24 Raleigh-Durham United Loss 10-15 1517.59 Jun 29th 2025 Pro Elite Challenge East
65 Ascension Win 13-6 1884.24 Jul 12th Boston Invite 2025
75 BAG** Win 13-2 1759.51 Ignored Jul 12th Boston Invite 2025
54 Lantern Win 13-6 1985.77 Jul 12th Boston Invite 2025
84 BUDA U20B Win 13-11 1333.49 Jul 12th Boston Invite 2025
91 Alibi** Win 15-3 1667.35 Ignored Jul 13th Boston Invite 2025
40 Colt Win 13-12 1786.83 Jul 13th Boston Invite 2025
26 Red Tide Loss 12-15 1612.19 Jul 13th Boston Invite 2025
**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)