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When Napoli under Luciano Spalletti won the 2022-23 Serie A title with a record 91 points, their PPDA of 6.8 was the second-lowest in Serie A history — meaning they allowed fewer than 7 passes before making a defensive action in the opponent's half, signalling an almost maniacal pressing intensity. Passes Allowed Per Defensive Action (PPDA) was developed by Colin Trainor and Dustin Ward at StatsBomb as a team-level proxy for pressing intensity that could be calculated without GPS or tracking data — only pass and defensive action logs were required. This made it accessible and reproducible, and it rapidly became the analytics community's standard for measuring how aggressively a team presses in the opponent's half. PPDA is calculated by dividing the number of passes the opposing team completes in their own half by the number of defensive actions (tackles, interceptions, ball recoveries, fouls) the pressing team makes in that zone. A low PPDA (e.g., 5-7) indicates intense pressing — every few passes triggers a defensive response. A high PPDA (e.g., 15-20) suggests a passive, defensive team allowing the opposition to build freely. The metric captures collective pressing behaviour rather than individual effort, making it a powerful tool for assessing a team's tactical identity. Coaches use PPDA targets to set pressing ambition: Klopp's Liverpool aimed for sub-8 PPDA, while Mourinho-era teams comfortably sat above 14. The key limitation is that PPDA only measures pressing in the opposition's half — it misses pressing in a team's own half or middle third, and it does not capture press success or the quality of turnovers generated.
PPDA = Opponent passes in their own half / Team defensive actions in opponent's half Defensive actions = Tackles + Interceptions + Ball recoveries + Fouls Worked example: In a match, the opponent completes 180 passes in their own half. The pressing team makes 26 defensive actions in the opponent's half. PPDA = 180 / 26 = 6.9 (elite pressing game) Season PPDA = Average across all matches If a team's weekly PPDA values are: 7.1, 8.3, 6.2, 9.1, 7.4 Season average PPDA = (7.1+8.3+6.2+9.1+7.4) / 5 = 7.62
- 1Count all passes completed by the opposition within their own defensive half during the match.
- 2Count all defensive actions made by the pressing team while the ball is in the opposition's half — including tackles won and lost, interceptions, and ball recoveries.
- 3Divide the opposition's passes by your defensive actions to get the PPDA for that match.
- 4A lower number means your team is pressing more aggressively — fewer passes before a defensive intervention.
- 5Average across multiple matches to get a season PPDA that reflects a team's pressing identity rather than single-game variance.
- 6Compare against league average and opposition-specific PPDA to identify pressing mismatches in upcoming fixtures.
Liverpool's sub-8 PPDA was sustained across all 38 matches and directly correlated with their 99-point Premier League title win.
Burnley's high PPDA reflected Kompany's early-season defensive approach — they allowed opponents to build but defended in numbers deep in their own half.
Both elite teams pressed aggressively in this CL tie, resulting in an end-to-end game with numerous turnovers and counter-attacking opportunities.
Atletico under Simeone typify mid-range PPDA — they press selectively rather than continuously, prioritising defensive solidity over turnovers high up the pitch.
Pre-match game planning: coaches study the opponent's PPDA to determine if high-tempo build-up or long-ball play is more appropriate against an aggressive vs. passive pressing team., representing an important application area for the Ppda Calculator in professional and analytical contexts where accurate ppda ulator calculations directly support informed decision-making, strategic planning, and performance optimization
Tactical identity assessment: sporting directors use season PPDA as a quick filter when identifying managers — a sub-10 PPDA record signals a pressing philosophy compatible with a club's identity., representing an important application area for the Ppda Calculator in professional and analytical contexts where accurate ppda ulator calculations directly support informed decision-making, strategic planning, and performance optimization
Substitution decisions: in-game analysts monitor real-time PPDA to detect when the team's pressing is collapsing, signalling fatigue and the need for fresh legs., representing an important application area for the Ppda Calculator in professional and analytical contexts where accurate ppda ulator calculations directly support informed decision-making, strategic planning, and performance optimization
Youth development: academies track PPDA at youth levels to ensure pressing habits are embedded from age 16 upward, not just at senior level., representing an important application area for the Ppda Calculator in professional and analytical contexts where accurate ppda ulator calculations directly support informed decision-making, strategic planning, and performance optimization
PPDA becomes meaningless in matches where a team intentionally drops into a
PPDA becomes meaningless in matches where a team intentionally drops into a very deep block from the 1st minute — the metric only measures pressing in the opponent's half, so a team that never ventures there will have infinite PPDA.. In the Ppda Calculator, this scenario requires additional caution when interpreting ppda ulator results. The standard formula may not fully account for all factors present in this edge case, and supplementary analysis or expert consultation may be warranted. Professional best practice involves documenting assumptions, running sensitivity analyses, and cross-referencing results with alternative methods when ppda ulator calculations fall into non-standard territory.
When tracking data is unavailable (e.g., lower leagues), PPDA remains
When tracking data is unavailable (e.g., lower leagues), PPDA remains calculable from event data alone, making it uniquely valuable for analysing non-elite competitions where tracking infrastructure is absent.. In the Ppda Calculator, this scenario requires additional caution when interpreting ppda ulator results. The standard formula may not fully account for all factors present in this edge case, and supplementary analysis or expert consultation may be warranted. Professional best practice involves documenting assumptions, running sensitivity analyses, and cross-referencing results with alternative methods when ppda ulator calculations fall into non-standard territory.
Red cards and man-advantage situations distort PPDA significantly — a team
Red cards and man-advantage situations distort PPDA significantly — a team pressing with a numerical advantage will achieve unrealistically low PPDA while the 10-man side will have artificially elevated values.. In the Ppda Calculator, this scenario requires additional caution when interpreting ppda ulator results. The standard formula may not fully account for all factors present in this edge case, and supplementary analysis or expert consultation may be warranted. Professional best practice involves documenting assumptions, running sensitivity analyses, and cross-referencing results with alternative methods when ppda ulator calculations fall into non-standard territory.
| Club | Season PPDA | Pressing Style | Points | Goals For |
|---|---|---|---|---|
| Arsenal | 7.8 | Intensive high press | 89 | 91 |
| Liverpool | 8.1 | Gegenpressing | 82 | 86 |
| Man City | 9.4 | Positional press | 91 | 96 |
| Aston Villa | 9.9 | Active press | 76 | 76 |
| Everton | 14.2 | Reactive mid-block | 40 | 40 |
| Luton Town | 16.8 | Low block | 26 | 52 |
What is a good PPDA score in the Premier League?
Generally, below 8 is considered elite pressing, 8-11 is above average, 11-14 is average, and above 14 suggests a passive or defensive team. Context matters: a 10 PPDA when playing against a ball-dominant team like City is very different from a 10 PPDA against a struggling side. This is particularly important in the context of ppda calculatorulator calculations, where accuracy directly impacts decision-making. Professionals across multiple industries rely on precise ppda calculatorulator computations to validate assumptions, optimize processes, and ensure compliance with applicable standards. Understanding the underlying methodology helps users interpret results correctly and identify when additional analysis may be warranted.
How is PPDA different from pressing intensity score?
PPDA is a team-level, outcome-based metric (how many passes before a defensive action) and can be calculated from basic event data without tracking. Pressing Intensity Score is a more granular metric that incorporates individual player pressures, zones, and success rates using tracking or StatsBomb pressure events. This is particularly important in the context of ppda calculatorulator calculations, where accuracy directly impacts decision-making. Professionals across multiple industries rely on precise ppda calculatorulator computations to validate assumptions, optimize processes, and ensure compliance with applicable standards. Understanding the underlying methodology helps users interpret results correctly and identify when additional analysis may be warranted.
Can PPDA be used for individual players?
PPDA is fundamentally a team metric because it measures collective pressing behaviour. Individual pressing metrics include pressures per 90 and press completion rate from StatsBomb, which capture individual contributions to the team press. This is particularly important in the context of ppda calculatorulator calculations, where accuracy directly impacts decision-making. Professionals across multiple industries rely on precise ppda calculatorulator computations to validate assumptions, optimize processes, and ensure compliance with applicable standards. Understanding the underlying methodology helps users interpret results correctly and identify when additional analysis may be warranted.
Does a low PPDA guarantee more goals?
Not directly. A team can press aggressively (low PPDA) but still struggle to score if their finishing is poor or if the turnovers they generate are in low-danger zones. PPDA correlates with high-turnovers and counter-press goals, but the relationship is probabilistic rather than deterministic. This is particularly important in the context of ppda calculatorulator calculations, where accuracy directly impacts decision-making. Professionals across multiple industries rely on precise ppda calculatorulator computations to validate assumptions, optimize processes, and ensure compliance with applicable standards. Understanding the underlying methodology helps users interpret results correctly and identify when additional analysis may be warranted.
How does match state affect PPDA?
PPDA changes dramatically with match state. A team winning 2-0 will typically sit deeper and let opponents have the ball, raising their PPDA. A team losing in the 80th minute will press frantically, lowering it. Single-match PPDA can therefore be misleading; season averages neutralise these situational effects. This is particularly important in the context of ppda calculatorulator calculations, where accuracy directly impacts decision-making. Professionals across multiple industries rely on precise ppda calculatorulator computations to validate assumptions, optimize processes, and ensure compliance with applicable standards. Understanding the underlying methodology helps users interpret results correctly and identify when additional analysis may be warranted.
Which team has the lowest PPDA in Champions League history?
Exact all-time records are proprietary, but RB Leipzig and Liverpool circa 2019-21 have produced the lowest Champions League seasonal PPDA values at roughly 6.5-7.2, reflecting their commitment to high-pressing irrespective of competition level. This is particularly important in the context of ppda calculatorulator calculations, where accuracy directly impacts decision-making. Professionals across multiple industries rely on precise ppda calculatorulator computations to validate assumptions, optimize processes, and ensure compliance with applicable standards. Understanding the underlying methodology helps users interpret results correctly and identify when additional analysis may be warranted.
Does a high PPDA mean a team is bad at defending?
Not necessarily. A high PPDA might reflect a deliberate choice to defend in deep blocks rather than disorganisation. Such teams compensate with aerial duels, shot blocking, and disciplined shape rather than turnovers from pressing. This is particularly important in the context of ppda calculatorulator calculations, where accuracy directly impacts decision-making. Professionals across multiple industries rely on precise ppda calculatorulator computations to validate assumptions, optimize processes, and ensure compliance with applicable standards. Understanding the underlying methodology helps users interpret results correctly and identify when additional analysis may be warranted.
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Pair PPDA with PPDA-allowed (how well a team builds through the opponent's press) for the most complete picture. The best teams have a low PPDA (pressing aggressively) AND force opponents into a high PPDA against themselves (building out cleanly). Manchester City and Arsenal both rank in the top two for both metrics simultaneously.
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Colin Trainor's original 2014 StatsBomb paper that introduced PPDA received little immediate mainstream attention but has since become one of the most-cited pieces of football analytics literature, with its methodology adopted by virtually every major analytics department worldwide.