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, broken down by position, and specific to each team, 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 across all 32 teams over 11 years, 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 shoulders. Knowing the historical average gives you a baseline that raw injury rotors 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 if they have a designation of Questionable-Out, Doubtful-Out, or Out.
- Position — compare how hamstrings affect running backs differently than wide receivers, or how knee injuries impact linemen versus skill positions. Note: If you get a message "No data found matching your criteria. Try adjusting your filters. You will not be charged." This likely means that the team did not have a statistically significant amount of players at that position with that injury. If you get this, then run the query by team and remove position.
- Team — analyze franchise-level injury trends and see which organizations consistently lose more player-games to specific injury types
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.
Note: If you get a message "No data found matching your criteria. Try adjusting your filters. You will not be charged." This likely means that the team did not have a statistically significant amount of players at that position with that injury. If you get this, then run the query by team and remove position.
Methodology developed and reviewed by Dr. Kyle Trimble PT, DPT.