16 Jul Interaction effects between possession status and percentage: insights from modeling match-running performance across possession status in male soccer
Do teams really run more without the ball?
For years, the common conclusion has been simple: players cover more distance out of possession than in possession.
This study shows that the answer is not that simple.
Using 8,468 individual match observations from 412 outfield players in the 2018–2019 LaLiga season, this research analysed total distance (TD) and high-intensity running distance (HID > 21 km/h) according to possession status (in-possession vs out-of-possession), while integrating multiple contextual variables through linear mixed models.
The key novelty lies in the interaction between possession status (PS) and possession percentage (PP).
And that interaction changes everything.
When the team is in possession, higher possession percentage is associated with lower running demands.
When the team is out of possession, higher possession percentage is associated with higher running demands.
In statistical terms:
– During in-possession phases, PP negatively correlated with TD (r = -0.26) and HID (r = -0.11).
– During out-of-possession phases, PP positively correlated with TD (r = 0.24) and HID (r = 0.28).
This means possession percentage does not influence running demands in a linear way.
It reverses its effect depending on possession status.
The model revealed a crucial threshold.
When possession percentage is below 36% for total distance and 36.4% for high-intensity running, players run more during in-possession than out-of-possession phases.
Above those values, the classic pattern appears: running demands are greater during defensive phases.
This finding directly challenges conclusions derived from simple t-tests.
Traditional comparisons suggest that players always run more without the ball.
But those results represent only specific match contexts.
When contextual variables are integrated — possession percentage, effective playing time, match location, opposition quality and match result — the relationship becomes dynamic.
Running demands are conditional.
They depend on how much the team actually controls the ball.
Positional differences add another layer of complexity.
For total distance, forwards require much higher possession percentages before defensive running surpasses offensive running.
Specifically:
– Forwards show equal TD between in- and out-of-possession only when PP reaches 61.8%.
– Central defenders reach this balance at just 28.3%.
For high-intensity running, thresholds differ even more:
– Central defenders switch at only 9.2% PP.
– Forwards require 68.6%.
This highlights fundamentally different physical profiles across positions.
Central defenders and central midfielders tend to run more defensively across most realistic possession scenarios.
Forwards and wide players show greater offensive running demands unless possession levels become extremely high.
In low-possession teams, wide players and forwards typically perform high-intensity counterattacking runs during in-possession phases.
In high-possession teams, offensive players may experience reduced high-speed running during in-possession because attacking structure compresses space, while defensive transitions require explosive pressing when possession is lost.
Effective playing time (EPT) also played a significant role.
Higher EPT was associated with lower running performance per minute. This suggests that more continuous play increases match intensity and reduces recovery windows, affecting work rate distribution.
Match location had a smaller but significant effect on high-intensity running, with slightly lower HID in home matches.
The methodological contribution of this study is equally important.
When comparing traditional t-tests with linear mixed models, results differ substantially.
The t-test suggests a static conclusion.
The mixed model shows a dynamic system where running demands shift according to possession percentage.
This reinforces a key message for performance analysis.
Soccer is multivariate.
Single-factor comparisons rarely capture the full picture.
For practitioners, the applied implications are clear.
Teams with low possession must prepare wide players and forwards for high-intensity offensive transitions.
High-possession teams must prepare defensive players for rapid out-of-possession recovery and pressing.
Load interpretation must consider:
– Possession percentage
– Possession status
– Effective playing time
– Playing position
Without these variables, running metrics can be misleading.
This study reminds us that match-running performance is not only about distance.
It is about context.
And context changes the story.