#32 Crush City (22-5)

avg: 1313.39  •  sd: 60.95  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
64 TWISTED** Win 13-3 1289.75 Ignored Jun 24th Texas 2 Finger 2023
46 San Antonio Problems Win 11-3 1559.3 Jun 24th Texas 2 Finger 2023
91 Firewheel** Win 13-2 674.38 Ignored Jun 24th Texas 2 Finger 2023
26 Vengeance Loss 6-10 937.79 Jun 25th Texas 2 Finger 2023
26 Vengeance Loss 5-10 860.05 Jun 25th Texas 2 Finger 2023
40 Hayride Win 12-3 1677.74 Jun 25th Texas 2 Finger 2023
34 Indy Rogue Win 11-9 1435.54 Jul 29th TCT Select Flight East 2023
62 Dish Win 11-5 1302.78 Jul 29th TCT Select Flight East 2023
80 Notorious C.L.E.** Win 15-3 902.98 Ignored Jul 29th TCT Select Flight East 2023
39 Brooklyn Book Club Win 14-7 1666.08 Jul 30th TCT Select Flight East 2023
31 Rival Loss 9-13 947.87 Jul 30th TCT Select Flight East 2023
41 Heist Win 14-8 1577.13 Jul 30th TCT Select Flight East 2023
52 Void Cat Rewind Win 13-7 1451.11 Aug 19th Ski Town Classic 2023
84 Seattle Soul** Win 13-0 869.19 Ignored Aug 19th Ski Town Classic 2023
45 Rampage Win 13-8 1469.91 Aug 19th Ski Town Classic 2023
58 Fiasco Win 10-8 1052.29 Aug 20th Ski Town Classic 2023
19 Dark Sky Loss 4-13 981.24 Aug 20th Ski Town Classic 2023
51 Seven Devils Win 12-8 1348.34 Aug 20th Ski Town Classic 2023
82 Venom** Win 15-2 878.67 Ignored Sep 9th 2023 Womens Texas Sectional Championship
64 TWISTED** Win 14-4 1289.75 Ignored Sep 9th 2023 Womens Texas Sectional Championship
26 Vengeance Win 12-11 1558.95 Sep 10th 2023 Womens Texas Sectional Championship
46 San Antonio Problems Win 10-8 1221.97 Sep 10th 2023 Womens Texas Sectional Championship
71 Jackwagon Win 11-5 1097.72 Sep 23rd 2023 South Central Womens Regional
40 Hayride Win 12-5 1677.74 Sep 23rd 2023 South Central Womens Regional
26 Vengeance Win 8-6 1734.44 Sep 24th 2023 South Central Womens Regional
25 Colorado Small Batch Loss 6-11 912.77 Sep 24th 2023 South Central Womens Regional
46 San Antonio Problems Win 10-9 1084.3 Sep 24th 2023 South Central Womens Regional
**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)