Follow the key data from the 2025/26 Serie A season with comprehensive coverage of player and team performance. Discover the standout performers across attacking and defensive metrics, explore detailed individual and club statistics, and gain deeper insight into the numbers shaping Italy’s top division. All stats update live throughout the campaign, ensuring you always have the latest information as the season develops.
How to Use Our Serie A Stats Page
The Serie A stats page offers a range of interactive tools designed to help you explore performance data in detail. You’ll find separate tables for player and team statistics, each featuring a curated selection of metrics to analyse Italy’s top flight.
Both tables can be fully customised. By clicking the edit stats option in the top-right corner, you can choose which data points are displayed, allowing you to focus on the metrics most relevant to your analysis. This also highlights the breadth of statistics available across both player and club views.
To rank players or teams by a specific metric, simply select the relevant column header within the table. For example, if you want to see which players boast the highest crossing accuracy, add that statistic via the edit menu and sort the table to display the leaders.
You can also isolate data for a specific player using the search bar at the top of the table, or visit an individual player’s profile for a more detailed statistical breakdown. The same approach applies when analysing teams on a club-by-club basis.
For deeper comparison, the Squawka Comparison Matrix allows you to select up to five players from five different leagues and compare their performances side by side.
General Performance Stats in Serie A
We group certain metrics under general performance stats, as they provide an immediate overview of a player’s involvement across the Serie A season:
- Appearances – Shows how many matches a player has featured in during the campaign.
- Minutes played – Reflects total time spent on the pitch, influenced by substitutions and rotation.
- Goals – Indicates the number of goals a player has scored this season.
- Assists – Records how many goals a player has directly set up for teammates.
Together, these figures help outline a player’s role within the squad, highlighting their availability for selection and their influence in decisive moments. Goal contributions in particular remain a central measure when assessing attacking effectiveness in Serie A.
Attacking Stats and Goal Contribution
Attacking influence goes far beyond goals and assists alone. While those two metrics capture the moments that directly affect the scoreline, a wider range of statistics helps explain how players contribute to their team’s attacking play across a Serie A season.
Data such as shooting volume, accuracy, creativity, and dribbling success provide additional layers of insight into a player’s overall attacking output. Key metrics include:
- Shots – The total number of goal attempts taken by a player.
- Shots on target – Attempts that require an intervention from the goalkeeper.
- Shot accuracy – The percentage of shots that test the keeper.
- Chances created – The number of scoring opportunities set up for teammates.
- Take-ons completed – Successful dribbles past an opposing player.
Looking at these figures in isolation can be misleading. A high number of shots on target suggests strong positioning and involvement in dangerous areas, but efficiency in front of goal ultimately determines end product. Conversely, players who register fewer shots may still be crucial to attacking play through creativity, link-up work, and ball progression.
Creative roles are often best assessed through assists and chances created, while take-ons completed highlight players capable of beating defenders and destabilising organised defensive units. Wide attackers typically rank highly for dribbles and crossing actions, while central forwards are expected to lead in shooting and aerial involvement. Attacking midfielders, meanwhile, often stand out for through balls and touches in advanced areas where they can control tempo and dictate play.
Tactical variety also plays a major role in how these numbers appear. Serie A teams employ a wide range of formations and defensive structures, meaning attacking responsibilities can shift between positions. In systems that use wing-backs, for example, chance creation and dribbling may come from deeper areas rather than traditional forwards.
Known for its tactical discipline and structured defensive play, Serie A often features tighter spaces and fewer transitional opportunities than some other top European leagues. As a result, attacking efficiency, intelligent movement, and precision in the final third are particularly important when interpreting attacking statistics in an Italian context.
Passing and Ball Retention Metrics
Control in possession has long been a defining feature of Serie A, where patience on the ball, positional discipline, and intelligent distribution are key to breaking down organised defences. The ability to retain possession, draw opponents out of shape, and play incisive passes remains a crucial component of success in Italy’s top division.
Players who consistently record high passing accuracy are highly valued, particularly when that efficiency is combined with a strong volume of completed passes. Together, these metrics often highlight individuals capable of dictating tempo, sustaining attacking phases, and giving their team a platform to control matches.
That said, passing data is most informative when paired with contextual analysis. Forward pass totals can hint at intent, but they don’t fully capture difficulty or impact. The timing of the pass, the pressure applied by opponents, and its role within a move all influence its true value.
Was the pass part of a build-up that led to a shot or goal? Did it break defensive lines or switch play under pressure? Longer distribution is another important area to consider, and combining overall accuracy with long passing metrics can help identify players who progress the ball effectively while remaining secure in possession.
Given Serie A’s emphasis on tactical structure and compact defensive blocks, teams often rely on technically strong midfielders and composed, ball-playing defenders to maintain control and unlock space through measured, intelligent passing.
Defensive and Ball-Winning Output
Defensive performance isn’t only about how teams use the ball, but how effectively they can win it back. This is where defenders and defensively minded midfielders play a vital role, particularly in Serie A, a league defined by tactical discipline, structured defending, and intelligent positioning.
When evaluating defensive output, key actions to focus on include tackles, interceptions, and blocks, all of which highlight a player’s involvement in breaking up opposition attacks. However, volume alone can be misleading. Tackle success rate is an essential complementary metric, as consistently winning challenges is more valuable than simply attempting them frequently.
Team context is also crucial. Sides that dominate possession or control territory naturally spend less time defending, which can result in lower raw defensive totals for their players. This does not reflect a lack of defensive quality, but rather differences in tactical approach and game state.
Duels offer another important lens, especially for central defenders who are regularly involved in physical battles. Aerial duels are particularly relevant when assessing a defender’s ability to deal with crosses, long balls, and set-piece situations. At a collective level, clean sheets remain one of the clearest indicators of overall defensive strength.
Positional responsibilities must also be considered when interpreting these numbers. The defensive duties of a holding midfielder differ significantly from those of a centre-back or full-back, and formation plays a key role as well. Teams operating with a back three may ask wide centre-backs to defend larger zones, while wing-backs are often given greater attacking freedom than traditional full-backs, which naturally shapes their defensive output in the data.
Discipline and Physical Edge
Discipline is a key statistical area when analysing performances in Serie A, a league shaped by tactical control, physical duels, and finely balanced defensive structures. While fouls and cards are often seen as negatives, they can offer valuable insight into how teams and players manage defensive risk.
Yellow and red cards often reflect moments where players are forced into recovery challenges or deliberate fouls to stop dangerous situations from developing. Teams that defend aggressively higher up the pitch may naturally accumulate more bookings as they look to disrupt attacks early, making card totals a useful indicator of defensive approach and risk tolerance.
Fouls committed are closely tied to tactical intent. A higher foul count can point towards an assertive, contact-heavy style aimed at breaking up play, while teams that sit deeper in compact defensive blocks often concede fewer fouls, relying instead on organisation and positional discipline to limit space. In Serie A, where game management and structure are emphasised, foul patterns can vary significantly between tactical systems.
Discipline data can also highlight areas of defensive exposure. Players who are repeatedly isolated in one-on-one situations may be forced into late challenges, driving up foul and card totals over time. Across a full season, this can reveal structural weaknesses in specific zones, such as wide defensive areas or moments during midfield transitions.
When interpreted in context, discipline and physicality metrics help paint a clearer picture of how Serie A teams balance aggression, control, and defensive organisation.
Goalkeeping Stats and Defensive Structure
Goalkeeping data plays a central role in assessing defensive performance in Serie A, but its true value comes from understanding the tactical framework in which those numbers are produced. A goalkeeper’s statistical output can vary greatly depending on how their team sets up defensively, meaning raw figures rarely tell the full story on their own.
Save totals are often the most eye-catching metric. While a high save count can point to excellent shot-stopping, it may also indicate that a team allows a high volume of chances. Goalkeepers operating behind deeper defensive blocks or less secure back lines are typically required to face more shots, which naturally increases their save numbers over the course of a season.
Looking at goals conceded offers a broader view of defensive effectiveness, but this figure extends beyond the goalkeeper alone. Defensive organisation, pressing efficiency, and the quality of chances conceded all play a role in how often a team is breached. For that reason, goals conceded is most informative when analysed alongside supporting data such as shots faced and expected goals against.
Clean sheets remain a popular headline metric when evaluating goalkeepers and defensive units. While they provide a clear indication of how often opponents are kept off the scoresheet, they are heavily influenced by collective structure and cohesion. Teams that defend compactly and restrict high-quality chances tend to record more clean sheets, regardless of possession share.
In summary, Serie A goalkeeping statistics are most effective when viewed in conjunction with defensive structure and shot volume, helping to distinguish individual performance from the wider tactical context.
Set-Piece Contribution
Set-piece data is a vital part of analysing Serie A performances, particularly when assessing how teams generate opportunities outside of open play. Goals scored from corners, free-kicks, and indirect restarts can have a major influence on results across a season, especially in a league where matches are often finely balanced.
Tracking goals from set plays helps identify teams that consistently make the most of dead-ball situations. Some sides place heavy emphasis on rehearsed routines, precise delivery, and aerial presence, using these moments to break down compact, well-organised defences. On an individual level, this data can also highlight the impact of centre-backs, physical forwards, and specialist set-piece takers.
Set-piece delivery involvement is another important metric to consider. Players who regularly take corners and wide free-kicks can shape attacking output even when they are not directly involved in goals. High delivery volume often points to creative responsibility within the team and can serve as a steady source of chance creation over the course of a campaign.
Set pieces are particularly significant for mid-table and lower-ranked Serie A sides. Against stronger opponents where possession and open-play chances may be limited, dead-ball situations offer a crucial alternative route to goal. In tightly contested fixtures, a single well-executed corner or free-kick can prove decisive.
For these reasons, set-piece contribution remains a key statistical area when evaluating how Serie A teams maximise scoring opportunities and manage fine margins across competitive matches.
How to Use Serie A Stats Together
No single statistic can fully explain a player’s or team’s performance across a Serie A season. Individual metrics tend to focus on specific elements of the game, such as goal output, defensive involvement, or passing volume. When taken in isolation, these figures can be misleading, as they are shaped by tactical responsibilities, opposition strength, and match context. A forward with modest goal numbers may still add significant value through pressing and chance creation, while a defender posting high tackle totals may simply be required to defend more frequently.
Bringing attacking, defensive, and possession-based data together creates a more complete picture of performance. Attacking metrics like goals, shots, and chances created help assess effectiveness in the final third, while defensive statistics such as interceptions, duels, and recoveries highlight work done without the ball. Passing and ball retention figures then provide further insight into how well players and teams control matches and progress play.
When analysed collectively, these categories reveal patterns that individual metrics alone cannot. This approach enables more accurate comparisons between players with different roles and teams operating under contrasting tactical systems. In Serie A, where structure, game management, and tactical nuance play a central role, combining multiple statistical viewpoints is the most reliable way to identify trends and underlying strengths.