Every injury carries a cost. This data product quantifies exactly what that cost is — the average number of games a player misses for any given injury type, giving you a precise, data-driven baseline for evaluating roster risk, trade value, and lineup decisions before the rest of the market has caught up.
Built from a comprehensive NFL injury dataset spanning 2016 through 2024 across all 32 teams, this product calculates average games missed at the player-season level across every injury type in the dataset — from hamstrings and knees to concussions and Achilles tears. Whether you're assessing a late-round fantasy pick, evaluating a DFS punt play, or shading a line based on injury news, knowing the historical average gives you an edge that raw injury reports simply can't provide.
Search and filter by:
- Injury Type — look up any injury and instantly see how many games it costs a player on average across the entire NFL
- Player — pull individual player injury history and career average games missed to assess durability and risk
- Game Status — filter by Out, Questionable, Doubtful, or IR to understand how designation severity correlates with time missed
- Position — compare how hamstrings affect running backs differently than wide receivers, or how knee injuries impact linemen versus skill positions
- Team — analyze franchise-level injury trends and see which organizations consistently lose more player-games to specific injury types
- Year — track how average missed time has shifted season by season and identify emerging injury trends across the league
Don't just know a player is hurt. Know what it means. This product turns raw injury data into a number you can act on — giving you the historical context to make smarter decisions from the moment the injury report drops to the final injury designation on Sunday.