Author: Julen Castellano et al.
Journal: Sensors (2026)

Every Monday morning, coaches and physical trainers face the same mountain of GPS data. We look at total distance, high-speed running (HSR), and sprint counts. But as we recently discussed, evaluating these physical metrics in a vacuum tells us next to nothing about whether a player actually had a tactically elite match.

If you want the definitive proof, look no further than a 2026 sports science study published in Sensors. Researchers analyzed 3,170 team performances across two consecutive seasons in Spain’s top professional leagues (LaLiga and LaLiga2). Using an advanced machine learning approach (LASSO-regularized logistic regression), they attempted to predict whether a team won or lost using nothing but context-specific running data.

The model achieved an astonishing 76.8% predictive accuracy (F1 = 0.77, AUC = 0.85).

The data proves that physical performance is deeply intertwined with tactical outcomes. More importantly, it reveals that some running metrics actively predict defeat, while others predict victory.

The Metric Breakdown: What Actually Wins Matches?

The study broke down total distance (TD) and high-speed running over 21 km/h (TD21) by game moments: in-possession, out-of-possession, and when the ball was out of play.

The machine learning model isolated the exact locomotor signatures that separate winning teams from losing teams:

Locomotor Metric	Tactical Meaning	Impact on Winning
TDnoPosmin	Total distance per minute covered out-of-possession.	Highly Positive (Strongest predictor of victory).
TD21posmin	Distance per minute covered at >21 km/h in-possession.	Positive (Key driver of success).
TD21noPosmin	Distance per minute covered at >21 km/h out-of-possession.	Highly Negative (Strongest predictor of defeat).
TDposmin	Total distance per minute covered in-possession.	Negative (Associated with losing).

Decoding the Data: Two Eye-Opening Tactical Lessons

For coaches, the gold is buried in the contradictions of this data. Why does high-speed running with the ball cause wins, while high-speed running without the ball causes losses?

1. High-Speed Defensive Running Is Usually a Panic Signal

The single strongest predictor of defeat was TD21noPosmin—high-speed running out of possession.

When your players are clocking massive sprint numbers while defending, it rarely means they are “pressing intensely.” Instead, it means the team is suffering from defensive disorganization. They are scrambling to recover positions, chasing opponents who have broken their lines, or desperately tracking back during a catastrophic counter-attack.

Conversely, winning teams show a high TDnoPosmin (overall defensive running volume at a controlled tempo). They move cohesively, shift as a unit, choke the spaces, and maintain a high tactical tempo without constantly needing to sprint to put out fires.

2. “Sterile Possession” Wearies Your Own Players

The model found that high total distance covered while in possession (TDposmin) is negatively associated with winning.

If your team is running a high volume of kilometers while holding the ball, but doing so at a jogging or sub-maximal pace, your build-up is too slow. It indicates a lack of verticality and a failure to destabilize the opponent’s defensive block. You are moving the ball sideways, forcing your own players to cover distance just to maintain possession, without creating an advantage.

To win, possession must be explosive. Success is driven by TD21posmin—high-speed actions (>21 km/h) while the ball is yours. Players must execute explosive movements to break lines, make overlapping runs, and create sudden passing lanes.

How to Apply

As modern coaches, we have to stop looking at the absolute totals on our GPS dashboards. We must categorize our data by tactical phases.

• Audit Your Defensive Drills: Are your defensive transition drills teaching structured, collective restriction of space (high volume, controlled tempo), or are they turning into unorganized tracking-back contests (high scrambling intensity)?
• Design Explosive Possession: When running possession drills, do not just count passes or minutes. Track the intensity. Demand sharp, high-speed, line-breaking movements to simulate the explosive attacking profiles that actually yield 3 points on match day.

Data is only as good as the tactical lens you view it through. If you aren’t separating your in-possession physical metrics from your out-of-possession metrics, you are coaching in the dark.

Coaches and Analysts: Have you noticed your tracking data spiking during heavy transition games? How do you filter out “scrambling” defensive metrics from true intentional pressing in your weekly reports?

#SportsScience #LaLigaData #PerformanceAnalysis #FootballAnalytics #VortexSport #TacticalPeriodization

This summary was generated with the assistance of Gemini based on the original article and this blog, with the aim of translating the research into practical insights for coaches and support staff.