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Mastering Overlap Runs: How to Measure Them and Optimize Their Timing

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An overlap run is a type of deep run commonly executed by full-backs, wing-backs, or overlapping midfielders. The primary objective is to disrupt the opposing defense by creating space and confusion, offering the player in possession two key options: a pass to the overlapping runner or an opportunity to cut inside with a dribble or carry.

The success of an overlap run depends heavily on the coordination between the player in possession and the runner. Since these runs can occur multiple times throughout a match and the overlapping player is expected to cover significant ground in both directions, it’s crucial to evaluate three key factors:

  1. Penetration into the Final Third: Is the overlapping player effectively reaching the attacking third?
  2. Timing of the Run: Is the overlap timed correctly relative to the central player's control of possession?
  3. Consistency: How frequently and reliably are these runs being made during the course of the game?

By analyzing these metrics, teams can gain deeper insights into the effectiveness of their overlap runs and overall attacking strategy.

Tracking Off-the-Ball Actions: Overcoming the First Challenge

One of the key challenges football clubs encounter is accurately measuring off-the-ball actions, such as player runs. While optical tracking systems or GPS devices can provide valuable data, integrating this information with video analysis or evaluating it across multiple games often becomes a time-intensive process.

With MyGamePlan, users can efficiently track these actions through dedicated running metrics. This allows for the visualization of (deep) runs and the ability to monitor their consistency over time, streamlining the analysis process.

Visualization of deep runs in the MyGamePlan platform

Timing of the run

The timing of an overlap run is essential, especially when the winger cuts inside with the ball. This is the ideal moment for the overlapping run to be initiated.

With MyGamePlan, we can accurately define this scenario by anticipating a run from the left-back when the left winger gains possession in the central zone or the left attacking half-space. This precise coordination helps optimize team movement and enhances offensive effectiveness.

Example on how to measure the deep runs of the LB when LW (L. Díaz) is receiving the ball in the centre area of the pitch


This gives you an overview of the percentage of runs made (5% in this example) during the possession in the center zone, when L. Diaz is in possession.

Overview of the deep runs of the LB when LW (L. Díaz) is receiving the ball in the centre area of the pitch

Per game you automatically get an overview of the clips that there was an overlap run (green checks) or the run was not made (red crosses).

Overview of the clips that there was an overlap run (green checks) or the run was not made (red crosses).
Robertson making the overlap run when L. Díaz in possession

Measuring consistency of the runs

By establishing specific rules, you can define a player’s expected behavior and accurately measure the consistency of certain actions, such as overlap runs.

This approach not only allows for the evaluation of a single player's performance but also facilitates comparisons between different players.

For example, as shown in the overview below, the consistency and frequency of overlap runs by Trent Alexander-Arnold are significantly lower when Mohamed Salah receives passes compared to when Andrew Robertson is involved.

Overview of the deep runs of the RB when LW (M. Salah) is receiving the ball in the centre area of the pitch

The automated connection to the mobile app enables coaching staff or individual development plan (IDP) coaches to collaborate directly with the player.

This streamlined process allows them to translate data-driven insights into personalized training sessions on the pitch, fostering a more tailored and effective approach to player development.

MyGamePlan is a Belgian startup founded by Berten Knaepen and Dries Deprest, using their expertise from working experience at different clubs. They help clubs like Bayer Leverkusen, KRC Genk and QPR to reach their targets by connecting different data sources into one tool.

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