NFL League Trends
Explore how all 32 teams line up, attack and defend with Next Gen Stats powered by AWS.
SEASON PICTURE
NET EPA
Net Expected Points Added (EPA) measures a team's combined efficiency by subtracting defensive EPA allowed per play from offensive EPA per play. The AWS-powered Next Gen Stats expected points model evaluates how each play changes scoring expectations based on down, distance and field position. Higher values indicate stronger overall performance.
LEAGUE IDENTITY
OFFENSIVE IDENTITY
Team tendency statistics for League, grouped by category.
- 11P
- 55%
- 12P
- 22%
- 13P
- 10%
- 21P
- 6%
- CALLED PASS
- 60%
- PLAY ACTION
- 33%
- MOTION
- 65%
- TEMPO
- 9%
- QUICK PASS
- 42%
- IN-BREAKING
- 33%
- OUT-BREAKING
- 31%
- 10+ AIR YARDS
- 32%
- INSIDE ZONE
- 20%
- OUTSIDE ZONE
- 31%
- GAP
- 19%
- MAN
- 23%
LEAGUE TRENDS
OFFENSIVE IDENTITY
League-wide usage of motion since 2018.
| TEAM | USAGE | NET EPA | ||
|---|---|---|---|---|
Since 2018
- LEAGUE AVERAGE
How often the offense shifts a player before the snap to disguise or create an advantage.
AWS-powered AI helps turn player tracking data into advanced stats and deeper football insights you can explore in Next Gen Trends.
- 01COLLECTWatch: Capturing Every Snap
NFL Next Gen Stats tracks all 22 players and the ball, collecting more than 500 million data points each season to capture the movement behind every play.
- 02PROCESSWatch: From Snap to Stat
The NFL uses Amazon SageMaker to build machine learning models that turn raw tracking data into advanced stats that reveal how players and teams perform.
- 03DISTRIBUTEWatch: NGS Explained
Next Gen Trends brings those stats together to help fans compare all 32 teams, explore their strategies and track how the league evolves over time.
PERFORMANCE INSIGHTS
Explore the latest team trends and standout performances with insights from Next Gen Stats available only on NFL Pro.

