Use Case: Tracking Injury Occurrence by Training Day and Surface Context

Athlete availability isn’t only about the injury—it’s about the context.

Certain training days carry an elevated risk. Certain surfaces contribute to specific injury types. And when those patterns go unmonitored, they go unaddressed.

Medical teams have long suspected that the demands of Match Day (MD) or Game Day (GD) +1 sessions, especially when combined with poor surface conditions, contribute to soft-tissue injuries or overload. But until now, proving those trends meant chasing down data across spreadsheets, systems, and staff.

With the Performance Medicine Solution in iP: Intelligence Platform—supported by the training-day periodisation available through Performance Optimization—injury patterns by training day and surface context are no longer hidden. They’re visual, contextual, and actionable—so you can intervene before the next injury occurs.

The Challenge

You’re already recording injuries. But most systems only show what happened—not when, where, or why.

Without contextual views or linked data, it’s difficult to:

• Spot injury trends tied to MD or GD phases, such as MD+/–
• Understand how surface type or quality affects specific injury types
• Compare injury patterns across teams/squads, periods, or training blocks
• Proactively adjust training based on credible medical evidence
• Share insights with leadership to guide decisions on training surfaces, supporting both player availability and long-term performance health

The outcome? Preventable injuries repeat. Insights get delayed. And MDT conversations rely on instinct, not intel.

What We Hear from Medical Staff

You’re not short on data—you’re short on clarity:

• “We suspect MD+1 is our riskiest day—but it’s hard to prove.”
• “We want to show the relationship between soft-tissue injuries and training surfaces, but we can’t connect that data without manual work.”
• “We’re logging everything, but it still takes hours to run basic reports.”
• “It’s difficult to make the case to change training patterns without showing the trend.”

Whether you’re a physio, athletic trainer, physical therapist, or performance analyst, your job is to spot patterns early and surface insight to your Medical Lead and performance staff. But if you’re stitching together multiple spreadsheets every week, you’re already behind.

The Solution

With the Performance Medicine Solution in iP: Intelligence Platform—and Performance Optimization enabled to support MD/GD+/– periodisation— medical staff can quickly examine injury occurrence alongside training-day context and surface information (when captured) without relying on exports or manual workarounds.

iP connects your injury data with training variables, so you can explore risk factors dynamically, communicate insights with clarity, and adjust protocols before issues escalate.

What You Can Do in Performance Medicine

Identify Injury Trends by Training Day

• Use an XY chart to map injury counts against Match Day/Game Day phase (e.g., MD+1, MD–2).
• Filter by team/squad, injury type, or time period.
• Spot high-risk days and proactively adjust training intensities or recovery windows.

View Injury Distribution with Recorded Surface Context

• Build charts showing how injury types appear relative to the surface data captured at the time of the injury.
• Justify facility usage changes or surface rotation strategies with data.

Track Risk Context Over Time

• Combine contextual data (e.g., MD+/– + recorded surface information) to understand how risk patterns may be influenced over time.
• Compare trends across teams/squads, age groups, or time blocks.
• Surface credible, evidence-backed insights during multidisciplinary team discussions.
  
  

See the Injury Context Workflow