Now in comparison take a look at the MAD (Parity) in college football. It's much more competitive. Thus, the reason systems can predict high school games in the 80% range but in college you're doing great if you get in the low to mid 70%. Nearly every week some of the best forecasting systems known to man can't pick 70% FBS winners "straight up".
FBS-G5
6.71
FBS-P4
7.30
FCS
8.04
D2
9.29
NAIA
11.51
D3
12.98
Using my numbers, the average FLHS football team has a Mean (Average) Power Ranking of 118.37.
The Median (mid-point) Power Ranking for the entire field is 118.99
The MAD (mean absolute deviation) for the entire field is 16.23
Breaking it down by Classification.
Mean Power Rating
6A
128.55
5A
125.43
4A
124.99
7A
124.90
2A
122.63
3A
120.97
1A
118.94
Rural
110.28
SSAA
101.52
Ind
100.27
Median Power Rating
6A
128.65
5A
125.59
4A
125.46
7A
124.99
2A
122.48
3A
122.23
1A
119.30
Rural
110.76
SSAA
101.62
Ind
100.39
MAD - I use this to determine classification parity. A lower number indicates more parity.
SSAA
12.08
6A
12.19
7A
12.80
Ind
13.00
2A
13.65
5A
13.88
4A
14.66
Rural
15.42
3A
15.59
1A
17.17
Alcorn State 42, Lincoln CA 0
Ark Pine Bluff 34, Lincoln CA 8
Ark Pine Bluff 79, Westgate Chr 10
Idaho State 90, Lincoln CA 0
Morgan State 44, Virginia Lynchburg 6
Valparaiso 67, Virginia Lynchburg 10
I'm still looking for the 7th. It may take a while.