From Match to Training: How to Build the Optimal Load for Football Players with Diverse Profiles

The Coaching Staff's Question: "HAVE WE TRAINED ENOUGH?"

One of the greatest questions a coaching staff faces daily during the planning phase is: “Have we trained enough this week?” And consequently: “Are the players adequately prepared for what the match will demand from a physical standpoint?”

In recent years, training programs have increasingly shifted their focus toward the performance model, meaning the collective "physical demands" imposed on a football player during a match. Within this model, we can include sport-specific activities such as changes of direction, accelerations/decelerations, or sprinting.

The evolution of technology has allowed us to objectively quantify external load values using GPS tracking devices. These devices have achieved high sampling frequencies, ensuring significant precision in the data collected during both matches and training sessions.

Please note: If you want to download the Dashboard scroll down to the bottom of the page to find the link.

External Load Parameters: Navigating the Data

As mentioned, GPS devices provide a massive amount of data. For practical purposes, these metrics must be selected and categorized to best evaluate every dimension of the external load:

• Neuromuscular Level: By tracking the number of changes of direction, accelerations, and decelerations, we can quantify the stress placed on an athlete's neuromuscular system.

• Volume of Work: This includes overall volume metrics such as Total Distance (TD) or Relative Distance (m/min).

• Intensity and Power: Intensity should be verified through Metabolic Power and Equivalent Distance.

A very common analysis involves recording the "numbers" of distances covered, classified according to speed and power thresholds; alternatively, the time spent in different zones can be used.

The Limit of Speed Thresholds

However, it is crucial to know which parameter provides effective information in a specific context.

For example, if we are running a ball-based drill like a possession game in tight spaces (Small-Sided Games), speed-related parameters will likely underestimate the actual work performed by the players. In restricted spaces, athletes lack the linear distance and time to reach high kinematic speeds, yet they undergo a massive mechanical and neuromuscular toll due to constant braking, restarting, and duels.

The Match Dilemma: How Many Times Should We Replicate the Match Load?

The most complex challenge a staff is called to overcome is determining how much certain parameters need to be replicated compared to the match to ensure players are ready to meet game demands.

In common training methodology, it is widely accepted that the cumulative weekly workload should reproduce between 2.5 and 3 times the external load recorded in a match. However, looking at the data from the pitch, it becomes obvious that achieving this replication index equally across all performance parameters is far from simple.

• The Easiest Parameters: Total Distance (TD) is certainly the easiest target to meet, alongside metrics related to neuromuscular volume—specifically, time spent accelerating and decelerating.

• The Most Critical Parameters: High-Speed Running (20–25 km/h) and Sprinting (>25 km/h) stand out, conversely, as the hardest data to replicate within the microcycle.

Why Are We Failing to Replicate High-Speed Running?

The factors causing this phenomenon are manifold. The primary cause is tactical and drill-based: the excessive use of Small-Sided Games (SSGs) or generic drills in overly tight spaces. While restricted spaces are excellent for accumulating accelerations, decelerations, and changes of direction, they do not provide the linear depth required for players to hit top speeds. In these cases, the Strength & Conditioning coach must step in to integrate and compensate for the specific work using isolated, off-the-ball (isolated) drills.

Conclusions: Staff Collaboration Beyond Technology

In conclusion, we can affirm that staff collaboration is the deciding factor when structuring a training session. GPS instrumentation serves as a valuable asset when utilized properly to objectively verify specific aspects of player performance, ensuring match demands are appropriately met starting from the weekly preparation.

However, it is crucial to reiterate that the trend of the workload throughout the week is conditioned by every single member of the coaching staff. The interaction among multiple professionals is decisive for the final outcome in all activities—both on and off the pitch—such as:

• The accurate selection of training drills.

• The structuring and optimization of available spaces.

• The strategic management of session timing.

GPS data should never be an isolated metric confined to the S&C coach; it must become a shared language for the entire staff to calibrate technical-tactical drills without ever losing sight of the player's physical integrity and biological individuality.

From Analysis to Pitch: Practical Monitoring with My Power BI Dashboard

To prevent the performance model from remaining just a theoretical concept on paper, I have developed an interactive dashboard in Power BI as part of my daily workflow. The goal of this tool is not to calculate cold squad averages, but to visually map the Match Load Replication Index for each individual athlete.

The visual analysis of the data collected throughout the microcycle strongly highlights three major methodological truths that every practitioner faces:

1. Some Parameters Are Easier Than Others (Metric Selectivity)

The dashboard immediately confirms what we have analyzed from a scientific perspective: not all metrics follow the same logic of reproducibility.

• "Easy" Metrics: Parameters like Total Distance (TD) or high-intensity acceleration volume (D_AccHI) are extremely easy to accumulate. They build up consistently and effortlessly through ball-based drills, possession games, and standard team training.

• Critical Metrics: Conversely, Sprinting (SPR) and Very High-Speed Running (VHSR) are by far the hardest metrics to satisfy. If minutes spent in large spaces are limited, or if logistics force the team to work on restricted areas of the pitch, these values drop drastically, leaving the athlete neuromuscularly unprotected.

  
  

2. "Squad Load" is an Illusion: Only the Individual Microcycle Exists

Even when the coaching staff plans a collective session that is identical for the entire squad, the dashboard data completely dismantles the idea of a uniform workload. The reality shows that every football player experiences a deeply personal microcycle.

The stimulus we deliver on the pitch—the combination of technical, tactical, and physical load—undergoes a literal biological "refraction": the exact same training session produces a totally different response in each individual.

• The Under-Exposed Player: Despite completing the same drills, one player might finish the week with a Sprint value close to zero, leaving them deconditioned and stripped of the eccentric protection vital for the hamstrings (Gabbett's well-known "vaccine" concept).

• The Overloaded Player: A teammate, embedded in the exact same tactical context, might register Very High-Speed Running peaks up to 4 times their match baseline, pushing them straight into an acute overload zone and increasing potential injury risk.

This net dissociation depends entirely on the athlete's intrinsic characteristics: their position, biomechanical reserves, muscle structure, and Force-Velocity profile (according to the Morin and Samozino framework).

3. The Role of the Report: An Early Warning System

With this perspective, the Power BI dashboard evolves: it is no longer just a descriptive tool telling us what already happened, but a prescriptive Early Warning System (S&C Alert).

Daily visual monitoring allows the staff to understand instantly, day after day, which athlete is spiking toward an overload and who is lagging dangerously behind (under-training). This enables the strength coach to step in surgically with isolated, off-the-ball compensation drills, personalizing the load before an injury occurs or a performance deficit sets in.

Get the Dashboard: If you want to receive the Power BI dashboard file, click Dashboard Training Load vs Match Load