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Match Analysis / FIFA World Cup 2022

Final · December 18, 2022

Argentina 3–3 France

After extra time · Argentina won on penalties

New here? This page uses terms like xG, PPDA, and progressive passes. The free Foundations lesson explains them in a few minutes. Continue on the Learn path →

Lusail Stadium · StatsBomb Open Data

Why this match is useful for learning

Match context

Argentina led 2–0. France levelled late in normal time. Both sides scored again in extra time, and Argentina won the shoot-out.

The penalty shoot-out is stored as a separate slice in this file. Do not add those shot values to the open-play and extra-time xG. The late France equaliser and the shoot-out are separate teaching points from the earlier shot process.

Regulation and extra time (shoot-out excluded)

Figures below cover regulation and extra time. The penalty shoot-out is stored as a separate slice in this file. Do not add those shot values to the open-play and extra-time xG. Transition rates use the 10-second window after a StatsBomb possession change.

Argentina
20 shots · 3 goals · ~2.76 xG
Progressive passes: 130 (23.2% of passes)
France
10 shots · 3 goals · ~2.27 xG
Progressive passes: 56 (12.9% of passes)

Visual 1

xG Timeline

Argentina finish ahead on combined xG (open play and set pieces together) in regulation and extra time (~2.76 to ~2.27). The line rises with the first-half goals. France’s line stays almost flat until a late cluster around 80′. Extra time trades goals. This chart is not a verdict on the result.

0 0.5 1 1.5 2 2.5 3 0 15 30 45 60 75 90 105 120 Cumulative xG Minute
Argentina · 2.76 xG France · 2.27 xG Filled markers = goals (clock position). Shoot-out excluded when present.

The line adds xG when a shot is recorded. A flat stretch means no shot, not that nothing happened. This is not xT and not a possession-value chart. The line is not a verdict on the result.

  • 22′ · Argentina · Lionel Andrés Messi Cuccittini · 0.78 xG
  • 35′ · Argentina · Ángel Fabián Di María Hernández · 0.30 xG
  • 79′ · France · Kylian Mbappé Lottin · 0.78 xG
  • 80′ · France · Kylian Mbappé Lottin · 0.10 xG
  • 107′ · Argentina · Lionel Andrés Messi Cuccittini · 0.49 xG
  • 117′ · France · Kylian Mbappé Lottin · 0.78 xG

How to read this

  • Mark Argentina’s early climb against France’s late cluster around 80′. Only a recorded shot moves this line.
  • Extra time adds another exchange. Process and scoreline diverge more than once — that is the lesson.
  • The penalty shoot-out is stored as a separate slice in this file. Do not add those shot values to the open-play and extra-time xG.

Limitations

  • xG describes historical shot types. It does not measure build-up quality before the shot.
  • A goal marker shows when the ball entered the net, not whether that chance was high xG.
  • Shoot-out attempts are excluded from this line. A rising early line is not a verdict on the result.

Related Learn lessons

Visual 2

Half vs half

First half: Argentina have 1.29 xG and two goals. France record no shots. Second half: Argentina fall to 0.33 xG while France reach 1.16 xG and two goals. Extra time is closer, at about 1.1 xG each. Read the half and extra-time numbers. Event data has no distance run. This is not a fatigue table.

Metric Period 1Period 2Period 3–Period 4
Argentina France Argentina France Argentina France
xG 1.29 0.00 0.33 1.16 1.14 1.11
shots 6 0 6 6 8 4
Progressive passes 55 30 42 48 33 15
PPDA 15.38 15.75 13.4 40† 31† 45†

The table splits the same process by half: shots, xG, progressive passes. Event data has no distance run. This is not a fatigue table. Read shots and xG together. Then ask how much came from open play vs set pieces.

PPDA (teaching definition): opponent passes starting in their own half ÷ Tackle + Interception + Foul Committed by this team in the opponent’s half. A dash or † means the sample of defensive actions is empty or tiny — often a deep block, not a physical ranking. Do not read half changes as proven fatigue.

How to read this

  • France’s second-half surge sits beside Argentina’s quieter shot sample. Score state is an allowed hypothesis.
  • Extra time is a separate process slice from regulation. Do not collapse it into one match total without naming the split.
  • PPDA here is a teaching proxy. A thin denominator is too weak for a fitness ranking.

Limitations

  • Half splits are still small samples. A late swing does not prove a structural law.
  • PPDA here is a teaching proxy (see footnote). A thin denominator is often a deep block, not a physical ranking.
  • Event data has no distance run. Do not read a second-half change as proof of tiredness.

Related Learn lessons

Visual 3

Transition board

Recoveries are almost even (72 vs 73). Argentina’s positive rate is about 47% versus France’s 38%. France’s negative rate is about 32% versus Argentina’s 21%. This is an event-data window, not tracking. It does not show how a team is set when possession is lost.

Argentina

Recoveries (possession starts)
72
Positive transitions
34 (47.2%)
Turnovers (possession ends)
73
Negative transitions
15 (20.5%)

France

Recoveries (possession starts)
73
Positive transitions
28 (38.4%)
Turnovers (possession ends)
72
Negative transitions
23 (31.9%)

Recovery = new possession after the opponent had the ball. Turnover = that possession ends. Positive rate = share of recoveries followed within 10 seconds by a progressive pass or a shot. Negative rate = share of turnovers after which the opponent progressed or shot within 10 seconds. A higher negative rate means giving the ball away was more costly in this window. It is not a fitness ranking.

Window: 10s after recovery/turnover for a progressive pass or shot. Approximate event-data proxies — not tracking. They do not show how a team is set when possession is lost.

How to read this

  • Argentina’s positive rate is about 47%; France’s is about 38%.
  • France’s negative rate is about 32%; Argentina’s is about 21%. A higher negative rate means giving the ball away was more costly in this window.
  • Winning the window is not the same as creating the larger shot process. These rates are not a verdict on the result.

Limitations

  • Recoveries and turnovers are inferred from StatsBomb possession changes. Restarts and fouls make the counts approximate.
  • “Positive” only means a Progressive Pass or shot followed within 10 seconds. It is not proof of a planned counter-attack.
  • Event data has no sprint distances and no continuous off-ball picture of how a team is set when possession is lost.

Related Learn lessons

Visual 4

Shot map

Argentina recorded more shots in regulation and extra time (~20 vs ~10) with the larger combined-xG sample (~2.76 vs ~2.27). France’s conversion from fewer attempts is part of the late-game story. Keep the shoot-out separate from this map’s match process.

Shot map for Argentina vs France, FIFA World Cup 2022 Final

How to read this

  • Start with location and quality, then ask when the chance arrived. France’s late cluster is a phase story, not a first-half claim.
  • Read volume with quality. More Argentine shots do not make the shoot-out inevitable.
  • The penalty shoot-out is stored as a separate slice in this file. Do not fold those high-xG attempts into this process map.

Related Learn lessons

Visual 5

Pass network

Argentina’s denser progressive structure sits beside France’s more selective connections. Density measures combination frequency. It does not overturn a late scoreline swing by itself.

Argentina pass network, World Cup 2022 Final

How to read this

  • Look for Argentine hubs between build-up and the final third. Frequent combinations can support territorial presence. They do not automatically produce box chances.
  • France’s lighter graph can still show real circulation. A thinner network is not proof that they did not try to play.
  • Game state matters. Extra time and a late chase average several phases into one graph.

Related Learn lessons

Visual 6

Progressive passes

Argentina’s progressive share is much higher than France’s (~23% vs ~13%). Read that as a process difference. Then ask when France’s dangerous moments arrived.

Argentina progressive passes, World Cup 2022 Final

How to read this

  • High progressive volume suggests a team advanced the ball often. It does not guarantee high-quality shots.
  • Trace start zones and end zones. Progression into the box means something different from sideways progress near halfway.
  • Pair this map with the Shot Map. Progression without shots can be sterile control. Shots without progression can depend on transitions or set pieces.

Related Learn lessons

Visual 7

Average positions

Markers show average on-ball action locations for players with enough actions. This is not a chalkboard formation. It is a spatial summary of involvement across a long final.

Argentina average positions, World Cup 2022 Final

How to read this

  • Average Positions are not tactical roles for every second. Extra time and substitutions pull the average.
  • Use the plot to form questions about engagement height and central occupation. Then test them on video.
  • A higher average block can show territorial control. It can also show a team chasing the game.

Related Learn lessons

Argentina heatmap (supplement)
Argentina team heatmap, World Cup 2022 Final
France heatmap (supplement)
France team heatmap, World Cup 2022 Final

Putting it together

A responsible short report should separate Argentina’s larger combined-xG sample in regulation and extra time from France’s late cluster and from the shoot-out. Keep the shoot-out separate.

If you are following the Learn path, write five supported sentences from these visuals. Then note what still needs video.

Practice prompt

In 150–200 words: write one claim about Argentina’s shot process before the late equaliser, one claim about France’s timing, and one limitation of event data in this match. Keep the shoot-out separate. Link each claim to a visual above.

Event data from StatsBomb’s public World Cup 2022 release. Coordinates use StatsBomb’s pitch model.