Pressing Maps

Definition

Pressing maps visualize where and how intensely a team or player engages in pressing — the act of applying pressure to the opponent in possession to win the ball back or force errors. They combine spatial information (where on the pitch pressing occurs) with intensity data (how aggressively the team engages).

History & Origins

Pressing has been a central tactical concept in football for decades, but the ability to measure and visualize it quantitatively only emerged with modern event and tracking data.

Tactical Roots

The pressing game's modern lineage runs through Valeriy Lobanovskyi (Dynamo Kyiv, 1970s–2000s), Arrigo Sacchi (AC Milan, late 1980s), Marcelo Bielsa (various clubs, 1990s–present), and most influentially Jürgen Klopp (Borussia Dortmund 2008–2015, Liverpool 2015–2024). Klopp's "Gegenpressing" — immediate counterpressing after losing the ball — brought pressing philosophy to the center of tactical discourse.

Pep Guardiola's Barcelona, Bayern, and Manchester City also employed sophisticated pressing systems, though with a different emphasis (pressing to maintain positional structure vs. Klopp's chaotic energy-based approach).

Analytics Development

The quantification of pressing began in earnest around 2014–2015 on the StatsBomb blog, where Colin Trainor developed PPDA - Passes Allowed Per Defensive Action|PPDA (Passes Allowed Per Defensive Action) as the first widely-adopted pressing metric. PPDA gave teams a single number for pressing intensity but didn't show where pressing happened.

Opta / Stats Perform introduced "pressures" as an event type — a player closing down an opponent in possession. StatsBomb expanded this with detailed pressure events including outcome (successful/failed) and the action that followed.

The combination of pressure event data with spatial coordinates enabled the creation of pressing maps — showing not just intensity but the geographic shape of a team's pressing structure.

Tracking data further revolutionized pressing analysis. Companies like Second Spectrum and SkillCorner could measure pressing without relying on discrete events, instead detecting closing-down movements from continuous position data. This captures pressing runs that don't result in a recorded event (e.g., a player sprinting toward the ball carrier who passes before contact).

Types

Pressure Heat Maps

Standard Heat Maps|heat maps filtered to defensive pressure events only. Show the zones where a team or player applies the most pressure. Typically computed via kernel density estimation on pressure event coordinates.

PPDA Zone Maps

Divide the pitch into zones (thirds, quarters, or custom regions) and display PPDA - Passes Allowed Per Defensive Action|PPDA per zone. Reveals whether a team presses high (low PPDA in the opponent's third) or sits deep (low PPDA only near their own goal).

Counterpressing Maps

Focus specifically on pressing actions within 5–10 seconds of losing possession. Visualize how quickly and where a team attempts to win the ball back after turnovers. Directly tied to Klopp's Gegenpressing philosophy.

Pressing Trigger Maps

Show the specific situations or zones where a team initiates pressing sequences. Some teams press on every opponent touch in their half; others only trigger when the ball goes to specific players (e.g., pressing the center-back but not the goalkeeper).

Defensive Action Maps

Broader than pure pressing maps — include all defensive events (tackles, interceptions, blocks, clearances, fouls) plotted spatially. Can be filtered to show only high-press actions (in the opponent's half) or deep-block actions.

Tracking-Based Press Intensity Maps

Using continuous position data, compute the speed and direction of players closing down the ball carrier. Produce a continuous surface showing pressing intensity across the pitch, without relying on discrete event triggers. The most accurate but least accessible form.

Key Metrics Used in Pressing Maps

PPDA - Passes Allowed Per Defensive Action — the foundational pressing intensity metric
High turnovers — possessions won in the attacking third, a direct outcome of successful pressing
Counterpressing recovery time — seconds to regain possession after losing it
Challenge intensity — tackles + interceptions per minute of opponent possession
Pressure success rate — percentage of pressures that result in a turnover or forced error

What They Reveal

Pressing shape: does the team press in a narrow band across the pitch (compact press) or in a wide shape (covering the flanks)?
Pressing triggers: where and when does the team decide to engage? On the goalkeeper's pass? On a specific defender?
Individual pressing profiles: some players are pressing machines (e.g., N'Golo Kanté, Rodrigo De Paul); pressing maps show their range and intensity
Tactical adaptation: a team might press high against a team that builds from the back but drop off against a direct team — comparing pressing maps across matches reveals this
Fatigue tracking: pressing intensity maps over time (first half vs. second half, early season vs. late season) can indicate conditioning levels

Limitations & Debates

Event data misses unpressed situations: pressure events only record when a player closes down. They don't capture the spaces left open by pressing, or moments when a team should have pressed but didn't
No pressing shape from events alone: individual pressure events don't reveal coordinated team shape — you can't tell if a press was organized or chaotic from event data alone. Tracking data is needed for this
PPDA's limitations transfer: pressing maps built on PPDA - Passes Allowed Per Defensive Action|PPDA inherit its weaknesses (zone dependency, not distinguishing successful from failed pressing, opponent style influence)
Pressing ≠ defending: aggressive pressing teams can be defensively poor — pressing maps don't show what happens when the press is beaten
Contextual blind spots: pressing after going 2-0 up is different from pressing at 0-0, but the maps don't distinguish game state

Related Metrics

PPDA - Passes Allowed Per Defensive Action — the core pressing intensity metric
xT - Expected Threat — can be combined to show how pressing in high-xT zones disrupts dangerous attacks
VAEP - Valuing Actions — values defensive actions including successful pressures

Related Visualizations

Heat Maps — pressing maps are often implemented as filtered heat maps
Voronoi Diagrams — show the spatial structure that pressing aims to compress
Pitch Control Models — the most sophisticated way to assess pressing's effect on space

Key People

Colin Trainor — created PPDA, the foundational pressing metric
Jürgen Klopp — Gegenpressing philosophy that drove demand for pressing analytics
Marcelo Bielsa — pressing pioneer whose methods influenced modern tactical analysis
Valeriy Lobanovskyi — early systematic pressing approaches with data-driven coaching

Tags: #football #analytics #visualization #pressing #defensive #PPDA