Use Case: Comparing Planned vs Achieved Training Load

Every training session begins with intention—the desired workload, duration, and intensity designed to achieve specific physical outcomes.

But between planning and execution, real-world variables like fatigue, weather, and match congestion can alter what actually happens in training or competition.

For performance and strength & conditioning staff, confirming that what was prescribed aligns with what was performed is critical to maintaining balance, preventing overload, and ensuring training quality.

That’s where the Performance Optimization Solution in iP: Intelligence Platform comes in.

The Challenge

Even with access to detailed session plans and GPS outputs, comparing intended workloads to achieved outcomes often means navigating disconnected tools and static reports.

That lack of integration makes it difficult to confirm whether training delivered the intended physical stimulus—or to pinpoint where athletes or positional groups deviated from the plan.

Without that clarity, load management becomes reactive, increasing the risk of both undertraining and overexposure.

What We Hear from Performance & Strength and Conditioning Staff

Across professional clubs, performance and S&C coaches share a common challenge—validating training fidelity in real time without getting lost in fragmented data.

• “We know what we planned, but it’s not always easy to see how closely the session delivered on that plan.”
• “I want to confirm that we’re hitting the right targets—without jumping between spreadsheets, GPS dashboards, and reports.”
• “If I can verify session quality quickly, I can adjust load or recovery before it becomes a bigger issue.”
  
  

The Solution: Comparing Planned vs Achieved Load

With the Performance Optimization Solution in iP: Intelligence Platform, performance teams can visualize planned workloads alongside achieved outputs in a single, unified chart—eliminating guesswork and improving training precision.

Using Performance Optimization, staff overlay prescribed metrics (e.g., total duration, high-speed running, or sprint distance) with actual session data to see immediately whether the training effect matched expectations.

This visual clarity allows practitioners to fine-tune workloads, adjust constraints, and ensure every drill delivers the intended stimulus.

What You Can Do in Performance Optimization

Visualize Planned vs Achieved Session Load

• In the Analysis section, create a dashboard and add an XY Chart.
• Use the Add Data option to select your metrics for the achieved load of the session or time period
• Choose relevant variables such as total duration, distance covered, high-intensity effort, or power output.
• Overlay custom planned load datasets to visualize where each session met—or diverged from—its intended training targets.

Assess Training Fidelity by Group or Position

• Apply filters for positional unit, training group, or session type to see how workloads vary across the team.
• Identify whether the distribution of intensity and duration aligns with expectations for each role.

Compare Microcycle Consistency

• Create longitudinal charts to monitor plan vs actual load trends over the course of a week or training block.
• Review fluctuations in cumulative load to spot emerging under- or overtraining risks.

Refine Future Session Design

• Use visual variance trends to recalibrate session structure, ensuring stimulus progression aligns with readiness and match congestion.
• Communicate adjustments directly with coaching and medical staff to maintain shared context and precision.
  
  

See  Comparing Planned vs Achieved Training Load Workflow