Normalized Strength of Schedule: Week 13

Austin Lee's Normalized Strength of Schedule: Week 13 Austin Lee Published 11/25/2014

Tab through the 38 tables below to evaluate the statistical impact of each team's past and future matchups. Normalizing the raw data based on matchups helps predict future increases and decreases for each team. Click on the blue text labels to mix and match the time frame and data type you wish to evaluate.

Clicking on the Offense label will display tables of offensive production. Conversely, choosing the Defense label will show the stats allowed by each team's defense. Each column has a color gradiant that corresponds to its range of values. Green cells have high values, blue cells have low values, and white cells have values in the middle of the column's range.

The rest-of-season time frame does not include Week 17. Because future raw data doesn't exist, year-to-date data is re-used for future time frames.

Data Type Descriptions

Raw Averages: Raw per-game stats for each team.

Production Percentages: This is the percentage teams have produced or allowed compared to other teams facing the same opponents. A positive percentage for an offense means the team has succeeded more than other teams. A positive percentage for a defense means the team has struggled more than others.

Strength of Schedule: A positive offensive percentage means the team has faced or will face weaker defenses. A positive defensive percentage means the team has faced or will face stronger opponents. Positive percentages in the past signal stat reduction in the future, whereas positive percentages in the future predict future stat increases.

Normalized: For time frames in the past, the raw data is normalized against past strength of schedule. Time frames in the future are normalized against both past and future strength of schedule.

Difference: This is the difference between normalized stats and raw, year-to-date stats. Positive numbers indicate optimism for future offensive production and pesimism about defensive success.


Team: Offense Defense      
Time Frame: Year to Date Last 5 Games Next 3 Games Rest of Season Weeks 14-16
Data Type: Raw Averages Production Percentages Strength of Schedule Normalized Difference
TeamPass
Att
Pass
Comp
Pass
Yds
Pass
TDs
IntRush
Att
Rush
Yds
Rush
TDs
ARI 35 20 253 1.5 0.5 26 78 0.5
ATL 39 25 285 1.7 0.9 23 93 0.8
BAL 34 22 251 1.6 0.7 29 132 1.2
BUF 36 22 241 1.5 0.5 25 97 0.5
CAR 35 21 256 1.5 0.9 26 96 0.5
CHI 37 25 261 2.0 1.1 24 100 0.5
CIN 32 20 230 1.2 0.9 30 126 1.2
CLE 33 19 260 1.0 0.7 32 116 1.3
DAL 30 21 253 2.2 0.7 31 150 0.7
DEN 41 28 325 3.1 0.8 25 100 0.7
DET 38 22 270 1.2 0.9 25 81 0.5
GB 32 21 274 2.7 0.4 26 107 0.8
HOU 30 18 215 1.2 0.9 32 137 0.7
IND 43 27 333 2.6 0.9 28 111 0.6
JAX 35 21 233 1.0 1.5 23 96 0.6
KC 30 19 201 1.2 0.4 29 137 1.5
MIA 36 24 237 1.8 0.7 27 125 0.7
MIN 34 20 212 0.8 1.2 25 117 0.8
NE 39 25 281 2.5 0.5 29 113 0.8
NO 42 30 317 2.0 1.0 27 125 1.1
NYG 37 23 263 1.9 1.1 28 99 0.7
NYJ 34 19 191 0.9 1.1 29 136 0.7
OAK 39 23 216 1.4 1.1 20 73 0.4
PHI 42 25 305 1.8 1.5 29 119 0.8
PIT 38 26 301 2.3 0.5 28 119 0.4
SD 33 23 259 2.0 0.8 27 89 0.4
SEA 29 18 204 1.3 0.5 31 170 1.3
SF 32 20 241 1.5 0.5 30 119 0.5
STL 33 21 231 1.3 1.1 25 101 0.5
TB 35 21 252 1.5 1.3 22 84 0.4
TEN 31 19 239 1.5 1.0 22 89 0.5
WAS 33 22 273 1.2 1.2 26 112 1.0
TeamPass
Att
Pass
Comp
Pass
Yds
Pass
TDs
IntRush
Att
Rush
Yds
Rush
TDs