#122 Lil Heroes (14-14)

avg: 1088.43  •  sd: 60.61  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
243 Bazooka 2: The Zookening Win 13-7 792.06 Jun 24th Texas 2 Finger 2023
50 H.I.P Loss 10-13 1225.37 Jun 24th Texas 2 Finger 2023
125 Cowtown Cannons Win 13-9 1475.18 Jun 24th Texas 2 Finger 2023
9 Doublewide** Loss 3-13 1506.81 Ignored Jun 25th Texas 2 Finger 2023
97 Texas Duffy Loss 7-11 815.25 Jun 25th Texas 2 Finger 2023
149 Rawhide Win 13-6 1527.02 Jun 25th Texas 2 Finger 2023
165 Firefly TX Win 12-10 1096.29 Jul 22nd Riverside Classic 2023
149 Rawhide Win 12-8 1368.18 Jul 22nd Riverside Classic 2023
153 Sprawl Loss 9-12 553.5 Jul 22nd Riverside Classic 2023
97 Texas Duffy Loss 10-15 828.54 Jul 23rd Riverside Classic 2023
129 Foxtrot Loss 13-15 828.71 Jul 23rd Riverside Classic 2023
125 Cowtown Cannons Loss 11-13 827.77 Jul 23rd Riverside Classic 2023
98 Riverside Loss 10-13 950.44 Aug 12th PBJ 2023
125 Cowtown Cannons Win 10-9 1181.61 Aug 12th PBJ 2023
153 Sprawl Win 11-10 1023.87 Aug 12th PBJ 2023
97 Texas Duffy Loss 7-13 724.61 Aug 13th PBJ 2023
129 Foxtrot Win 13-11 1271.73 Aug 13th PBJ 2023
125 Cowtown Cannons Win 13-8 1552.77 Aug 13th PBJ 2023
168 San Antonio Warhawks Win 15-10 1284.84 Sep 9th 2023 Mens Texas Sectional Championship
69 Clutch Loss 12-15 1109.9 Sep 9th 2023 Mens Texas Sectional Championship
251 Throwing Shade** Win 15-2 650.89 Ignored Sep 9th 2023 Mens Texas Sectional Championship
97 Texas Duffy Win 15-12 1582.64 Sep 10th 2023 Mens Texas Sectional Championship
69 Clutch Win 15-13 1624.57 Sep 10th 2023 Mens Texas Sectional Championship
48 Alamode Loss 11-13 1328.1 Sep 23rd 2023 South Central Mens Regional Championship
102 Harvey Cats Loss 9-12 861.83 Sep 23rd 2023 South Central Mens Regional Championship
69 Clutch Loss 6-13 810.39 Sep 23rd 2023 South Central Mens Regional Championship
125 Cowtown Cannons Loss 7-11 589.72 Sep 23rd 2023 South Central Mens Regional Championship
153 Sprawl Win 10-9 1023.87 Sep 24th 2023 South Central Mens Regional 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)