World Cup 2026: Goal Scoring Efficiency and Defensive Efficiency (Part 1)
World Cup 2026: Goal Scoring Efficiency and Defensive Efficiency (Part 1)
Chijioke

Chijioke

June 28, 2026

World Cup 2026: Goal Scoring Efficiency and Defensive Efficiency (Part 1)

Performance Analysis

Introduction

Every tournament leaves behind more than a champion. It leaves behind patterns that help explain why some teams progress, why others fall short, and how decisive moments shape the outcome.

This series is a continuation of my previous three-part work, AFCON 2025: Goal Scoring Efficiency, where team performance were analysed through the lens of Big Chances.

The AFCON series can be read here:

Part 1: AFCON 2025: Goal Scoring Efficiency β€” Part 1

Part 2: AFCON 2025: Goal Scoring Efficiency β€” Part 2

Part 3: AFCON 2025: Goal Scoring Efficiency β€” Part 3

The AFCON series focused on attacking efficiency: How teams created big chances, missed them, converted them, and depended on them for goals. It showed that goal scoring is not only about the final scoreline, but equally about chance quality and execution.

For the 2026 FIFA World Cup, the model is expanded further. This time, the analysis does not only ask which teams create and convert big chances. It also asks which teams allow big chances, concede from them, or prevent them from becoming goals.

This introduces a second layer to the model: Defensive Efficiency. While Goal Scoring Efficiency explains attacking performance through Big Chances Created, Big Chances Scored, BCS%, and BCS Goal, Defensive Efficiency explains defensive performance through Big Chances Allowed, Big Chances Conceded, Big Chances Prevented, and BC Con/GC%.

This is important because goals alone do not always tell the full story. A team may score many goals without creating many clear chances, or concede few goals while still allowing dangerous opportunities. Big Chances help explain the process behind the outcome.

Therefore, this World Cup 2026 series profiles teams using two connected models: Goal Scoring Efficiency and Defensive Efficiency. The aim is to understand which teams create decisive chances, which teams allow them, which teams survive them, and which teams execute when it matters most.


Method

Data Source

The data used for this analysis were taken from FotMob and analysed using Microsoft Excel.

The analysis focused strictly on two models: Big Chances Created and Big Chances Allowed. The model assessed 48 teams across the group stage.

The purpose of these two models was to analyse team performance through two connected models: Goal Scoring Efficiency and Defensive Efficiency.

Variables Used and Operational Definitions

The attacking model was developed from the Big Chances Created metric. The main variables were:

  1. Goals Scored (GS): The total number of goals scored by a team.
  2. Goals Scored per 90 (GS/90): The average number of goals scored per match.
  3. Big Chances Created (BCC): The total number of clear goal-scoring opportunities created by a team.
  4. Big Chances Created per 90 (BCC/90): The average number of big chances created per match.
  5. Big Chances Missed (BCM): The number of big chances a team failed to convert.
  6. Big Chances Missed per 90 (BCM/90): The average number of big chances missed per match.
  7. Big Chances Scored (BCS): The number of big chances converted into goals. This was calculated as: Big Chances Scored = Big Chances Created βˆ’ Big Chances Missed
  8. Big Chances Scored per 90 (BCS/90): The average number of big chances converted per match.
  9. Big Chances Scored Percentage (BCS%): The percentage of big chances created that were converted into goals. This was calculated as: BCS% = Big Chances Scored Γ· Big Chances Created
  10. BCS Goal: The proportion of a team’s total goals that came from big chances. This was calculated as: BCS Goal = Big Chances Scored Γ· Goals Scored

The defensive model was developed from the Big Chances Allowed metric. The main variables were:

  1. Goals Conceded (GC): The total number of goals conceded by a team.
  2. Big Chances Allowed (BC Ald): the total number of big chances a team allowed the opposition to create.
  3. Big Chances Allowed per 90 (BC Ald p90): The average number of big chances allowed per match.
  4. Big Chances Conceded (BC Con): The number of opposition big chances that were converted into goals.
  5. Big Chances Conceded per 90 (BC Con p90): The average number of opposition big chances converted into goals per match.
  6. Big Chances Prevented (BC Prev): The number of opposition big chances that did not result in goals. This was calculated as: BC Prev = Big Chances Allowed βˆ’ Big Chances Conceded
  7. Big Chances Conceded Percentage (BC Con %): The percentage of opposition big chances allowed that became goals. This was calculated as: BC Con % = Big Chances Conceded Γ· Big Chances Allowed
  8. Big Chances Prevented Percentage (BC Prev %): The percentage of opposition big chances allowed that did not become goals. This was calculated as: BC Prev % = Big Chances Prevented Γ· Big Chances Allowed
  9. BC Con/GC %: The proportion of a team’s total goals conceded that came from opposition big chances. This was calculated as: BC Con/GC % = Big Chances Conceded Γ· Goals Conceded

Benchmark Approach

The model used both average and median values as tournament benchmarks. The average was used to understand the general performance level across all teams, while the median was used as a more stable reference point because tournament data can be affected by teams with very high or very low values.

For the attacking model, the benchmarks helped identify teams that created above or below the tournament level, converted their big chances efficiently, or depended heavily on big chances for their goals.

For the defensive model, the benchmarks helped identify teams that limited opposition big chances, conceded frequently from big chances, or prevented a strong proportion of the big chances they allowed.

This approach made it possible to profile teams in context, rather than judging them by raw numbers alone.

Correlation Testing

Correlation testing was used to justify the relationship between big chance metrics and goal outcomes.

First, the relationship between Big Chances Created and Goals Scored was tested. This was done to examine whether teams that created more big chances generally scored more goals. The result showed a positive relationship, with an RΒ² value of 0.49. This means that Big Chances Created explained about 49% of the variation in goals scored across the teams.

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Correlation Graph between Big Chances Created and Goals Scored, 2026 FIFA World Cup

Second, the relationship between Big Chances Allowed and Goals Conceded was tested. This was done to examine whether teams that allowed more big chances generally conceded more goals. The result also showed a positive relationship, with an RΒ² value of 0.62. This means that Big Chances Allowed explained about 62% of the variation in goals conceded across the teams.

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Correlation Graph between Big Chances Allowed and Goals Conceded, 2026 FIFA World Cup

Model Justification

The correlation results support the use of big chance metrics as the foundation of the analysis model. Big Chances Created had a clear relationship with Goals Scored, while Big Chances Allowed had an even stronger relationship with Goals Conceded.

However, the model does not stop at creation or allowance. In attack, a team may create many big chances but fail to convert them. This is why BCS, BCS%, and BCS Goal were used to measure goal-scoring efficiency.

In defence, a team may allow big chances but prevent them from becoming goals. This is why BC Con, BC Prev, BC Con %, BC Prev %, and BC Con/GC % were used to measure defensive efficiency.

The final model, therefore, profiles teams through two connected questions:

Attack: Did the team create big chances, convert them, and depend on them for goals?

Defence: Did the team allow big chances, concede from them, or prevent them?

This approach allows teams to be assessed beyond goals scored and goals conceded. It explains whether a team’s performance was supported by attacking efficiency, defensive efficiency, or both.


Big Chances Created and Big Chances Allowed Models

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Big Chances Created Model

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Big Chances Allowed Model

Tiering Framework

The tiering model is used to profile teams based on their attacking and defensive performance across the two Big Chances models. It is not based on goals alone. Instead, teams are assessed by how they performed against the tournament benchmarks.

For the attacking model, the key benchmarks are: 4.48 average goals scored, 6.33 average Big Chances Created, and 41.4% average Big Chances Scored percentage. The median values are 4 goals scored, 6 Big Chances Created, and 40% Big Chances Scored percentage.

For the defensive model, the key benchmarks are: 4.48 average goals conceded, 6.27 average Big Chances Allowed, and 36.2% average Big Chances Conceded percentage. The median values are 4 goals conceded, 5 Big Chances Allowed, and 40% Big Chances Conceded percentage.

Tier 1: Potential Contenders

Tier 1 teams show strong performance across both models. They either combine high attacking output with defensive control, or they are clearly elite in one model while remaining strong enough in the other. These teams usually create above the attacking median, convert chances efficiently, limit opposition big chances, and keep goals conceded low.

In simple terms, these are teams whose numbers suggest they can both create decisive chances and control defensive danger.

Tier 2: Strong Teams with One Clear Concern

Tier 2 teams have strong overall profiles, but one part of the model raises a question. A team may create many big chances but convert below the 40% benchmark, or defend well but have only moderate attacking output. These teams are still strong, but the data shows one area that may limit their tournament ceiling.

Simply put, these teams are good enough to compete strongly, but they are not fully complete.

Tier 3: Mixed or Competitive Profiles

Tier 3 teams sit around the tournament benchmarks or show a balanced mix of strengths and weaknesses. They may be strong in attack but exposed defensively, efficient with limited chances, or defensively solid without enough attacking threat. Their numbers are competitive, but not dominant.

In simple terms, these teams can compete, but their profile depends heavily on context, opponent quality, and execution in key moments.

Tier 4: Imbalanced or Unreliable Profiles

Tier 4 teams have a clear weakness in either attack or defence. Some may create enough chances but waste too many. Others may defend reasonably but offer little attacking threat. Some may score a decent number of goals, but their big-chance numbers do not fully support the output.

In summary, these teams have parts of the model working, but the overall profile is not strong enough to be trusted consistently.

Tier 5: Low Threat or High-Risk Teams

Tier 5 teams perform poorly across key areas of the model. They usually create below the attacking benchmark, convert poorly, allow too many opposition big chances, or concede heavily. These teams have the weakest tournament profiles because they either lack attacking threat, defensive control, or both.

Plainly, these are teams whose numbers show limited attacking danger and/or major defensive vulnerability.


Team Profiling

1. Algeria

Attacking Profile: Algeria scored 5 goals, created 6 big chances, scored 3 big chances, recorded a 50% BCS rate, and had 60% of their goals come from big chances.

Defending Profile: Algeria conceded 7 goals, allowed 4 big chances, conceded 3 from big chances, prevented 1, and had a 43% BC Con/GC rate.

Tier: Tier 3 – Efficient Attack / Punished Defence.

Comment: Algeria converted half of their big chances, and 60% of their goals came from big chances, showing decent attacking efficiency. Defensively, they were not exposed often, but 3 of the 4 big chances they allowed became goals, which shows they were heavily punished when clear chances arrived.

2. Argentina

Attacking Profile: Argentina scored 8 goals, created 7 big chances, scored 2 big chances, recorded a 29% BCS rate, and had 25% of their goals come from big chances.

Defending Profile: Argentina conceded 1 goal, allowed 2 big chances, conceded 1 from a big chance, prevented 1, and had a 100% BC Con/GC rate.

Tier: Tier 2 – Result Strong / Efficiency Concern.

Comment: Argentina’s goal return was strong, but only 2 of their 8 goals came from big chances, meaning their scoring was not heavily built on big-chance conversion. Defensively, they allowed very little, but their only goal conceded came from a big chance.

3. Australia

Attacking Profile: Australia scored 2 goals, created 1 big chance, scored 1 big chance, recorded a 100% BCS rate, and had 50% of their goals come from big chances.

Defending Profile: Australia conceded 2 goals, allowed 4 big chances, conceded 1 from a big chance, prevented 3, and had a 50% BC Con/GC rate.

Tier: Tier 3 – Defensive Control / Low Attack.

Comment: Australia converted their only big chance, but the low BCC total shows limited attacking volume. Defensively, they prevented 3 of the 4 big chances they allowed, giving them a stronger defensive profile than attacking profile.

4. Austria

Attacking Profile: Austria scored 6 goals, created 7 big chances, scored 2 big chances, recorded a 29% BCS rate, and had 33% of their goals come from big chances.

Defending Profile: Austria conceded 6 goals, allowed 6 big chances, conceded 2 from big chances, prevented 4, and had a 33% BC Con/GC rate.

Tier: Tier 3 – Mixed Profile.

Comment: Austria created above the big-chance median, but only converted 2 of 7, meaning their attacking output was not fully supported by big-chance efficiency. Defensively, they prevented 4 big chances, but 6 goals conceded still points to an unstable overall profile.

5. Belgium

Attacking Profile: Belgium scored 6 goals, created 7 big chances, scored 2 big chances, recorded a 29% BCS rate, and had 33% of their goals come from big chances.

Defending Profile: Belgium conceded 2 goals, allowed 3 big chances, conceded 0 from big chances, prevented 3, and had a 0% BC Con/GC rate.

Tier: Tier 2 – Secure but Wasteful.

Comment: Belgium created enough big chances but converted only 29%, making attacking execution the main concern. Defensively, they were strong, allowing only 3 big chances and preventing all of them.

6. Bosnia and Herzegovina

Attacking Profile: Bosnia and Herzegovina scored 5 goals, created 3 big chances, scored 1 big chance, recorded a 33% BCS rate, and had 20% of their goals come from big chances.

Defending Profile: Bosnia and Herzegovina conceded 6 goals, allowed 9 big chances, conceded 4 from big chances, prevented 5, and had a 67% BC Con/GC rate.

Tier: Tier 4 – Result Overperformance / Defensive Risk.

Comment: Bosnia scored 5 goals despite only 1 big-chance goal, suggesting their attacking output was not strongly supported by clear chances. Defensively, 4 of their 6 goals conceded came from big chances, showing that their defensive exposure was directly punished.

7. Brazil

Attacking Profile: Brazil scored 7 goals, created 12 big chances, scored 6 big chances, recorded a 50% BCS rate, and had 86% of their goals come from big chances.

Defending Profile: Brazil conceded 1 goal, allowed 3 big chances, conceded 1 from a big chance, prevented 2, and had a 100% BC Con/GC rate.

Tier: Tier 1 – Complete Contender.

Comment: Brazil’s attack was strongly built on big chances, with 6 big-chance goals accounting for 86% of their total goals. Defensively, they allowed only 3 big chances and conceded once, giving them one of the strongest two-way profiles.

8. Canada

Attacking Profile: Canada scored 8 goals, created 11 big chances, scored 4 big chances, recorded a 36% BCS rate, and had 50% of their goals come from big chances.

Defending Profile: Canada conceded 3 goals, allowed 5 big chances, conceded 2 from big chances, prevented 3, and had a 67% BC Con/GC rate.

Tier: Tier 2 – Strong Attack / Average Defence.

Comment: Canada created high attacking volume, and half of their goals came from big chances, but their 36% conversion rate was below the 40% benchmark. Defensively, 2 of their 3 goals conceded came from big chances, making big-chance defending a concern.

9. Cape Verde

Attacking Profile: Cape Verde scored 2 goals, created 3 big chances, scored 1 big chance, recorded a 33% BCS rate, and had 50% of their goals come from big chances.

Defending Profile: Cape Verde conceded 2 goals, allowed 5 big chances, conceded 2 from big chances, prevented 3, and had a 100% BC Con/GC rate.

Tier: Tier 3 – Low Attack / Stable Defence.

Comment: Cape Verde had limited attacking volume, though half of their goals came from big chances. Defensively, they were around the BCA median, but both goals conceded came from big chances, meaning the danger they allowed had direct impact.

10. Colombia

Attacking Profile: Colombia scored 4 goals, created 8 big chances, scored 3 big chances, recorded a 38% BCS rate, and had 75% of their goals come from big chances.

Defending Profile: Colombia conceded 1 goal, allowed 2 big chances, conceded 0 from big chances, prevented 2, and had a 0% BC Con/GC rate.

Tier: Tier 2 – Defensive Elite / Moderate Attack.

Comment: Colombia created above the median and 75% of their goals came from big chances, though their conversion rate was slightly below benchmark. Defensively, they were excellent, allowing only 2 big chances and preventing both.

11. Croatia

Attacking Profile: Croatia scored 5 goals, created 5 big chances, scored 2 big chances, recorded a 40% BCS rate, and had 40% of their goals come from big chances.

Defending Profile: Croatia conceded 5 goals, allowed 8 big chances, conceded 2 from big chances, prevented 6, and had a 40% BC Con/GC rate.

Tier: Tier 3 – Functional / Survival Profile.

Comment: Croatia were close to the attacking benchmark, with a 40% BCS rate. Defensively, they allowed 8 big chances but prevented 6, meaning their profile was built more on survival than full defensive control.

12. Curacao

Attacking Profile: Curacao scored 1 goal, created 0 big chances, scored 0 big chances, recorded a 0% BCS rate, and had 0% of their goals come from big chances.

Defending Profile: Curacao conceded 9 goals, allowed 15 big chances, conceded 6 from big chances, prevented 9, and had a 67% BC Con/GC rate.

Tier: Tier 5 – Minimal Attack / Open Defence.

Comment: Curacao had no big-chance attacking output, making their attacking profile the weakest of the teams. Defensively, they allowed 15 big chances and conceded 6 from them, with two-thirds of their goals against coming from big chances.

13. Czechia

Attacking Profile: Czechia scored 2 goals, created 4 big chances, scored 2 big chances, recorded a 50% BCS rate, and had 100% of their goals come from big chances.

Defending Profile: Czechia conceded 6 goals, allowed 10 big chances, conceded 6 from big chances, prevented 4, and had a 100% BC Con/GC rate.

Tier: Tier 4 – Efficient Attack / Weak Defence.

Comment: Czechia converted 2 of 4 big chances, and all their goals came from big chances. Defensively, however, all 6 goals conceded came from big chances, showing that their defensive breakdowns were heavily punished.

14. DR Congo

Attacking Profile: DR Congo scored 4 goals, created 4 big chances, scored 3 big chances, recorded a 75% BCS rate, and had 75% of their goals come from big chances.

Defending Profile: DR Congo conceded 3 goals, allowed 2 big chances, conceded 0 from big chances, prevented 2, and had a 0% BC Con/GC rate.

Tier: Tier 2 – Efficient and Compact.

Comment: DR Congo were highly efficient, converting 75% of their big chances and getting 75% of their goals from them. Defensively, they allowed only 2 big chances and prevented both, giving them a compact and efficient profile.

15. Ecuador

Attacking Profile: Ecuador scored 2 goals, created 9 big chances, scored 1 big chance, recorded an 11% BCS rate, and had 50% of their goals come from big chances.

Defending Profile: Ecuador conceded 2 goals, allowed 4 big chances, conceded 1 from a big chance, prevented 3, and had a 50% BC Con/GC rate.

Tier: Tier 4 – Strong Process / Poor Execution.

Comment: Ecuador created 9 big chances but converted only 1, making them one of the clearest wasteful attacking teams in the model. Defensively, they prevented 3 of 4 big chances allowed, but attacking inefficiency reduced their overall profile.

16. Egypt

Attacking Profile: Egypt scored 5 goals, created 5 big chances, scored 1 big chance, recorded a 20% BCS rate, and had 20% of their goals come from big chances.

Defending Profile: Egypt conceded 3 goals, allowed 10 big chances, conceded 2 from big chances, prevented 8, and had a 67% BC Con/GC rate.

Tier: Tier 3 – Survival Defence / Inefficient Attack.

Comment: Egypt scored 5 goals, but only 1 came from a big chance, showing that their goals were not strongly built on clear chances. Defensively, they allowed 10 big chances but prevented 8, making them a survival team rather than a control team.

17. England

Attacking Profile: England scored 6 goals, created 13 big chances, scored 4 big chances, recorded a 31% BCS rate, and had 67% of their goals come from big chances.

Defending Profile: England conceded 2 goals, allowed 3 big chances, conceded 1 from a big chance, prevented 2, and had a 50% BC Con/GC rate.

Tier: Tier 2 – High Creation / Low Efficiency.

Comment: England created 13 big chances, well above the median, but converted only 4. Still, 67% of their goals came from big chances, so the attacking process was strong even if the finishing efficiency was below benchmark.

18. France

Attacking Profile: France scored 10 goals, created 12 big chances, scored 5 big chances, recorded a 42% BCS rate, and had 50% of their goals come from big chances.

Defending Profile: France conceded 2 goals, allowed 7 big chances, conceded 1 from a big chance, prevented 6, and had a 50% BC Con/GC rate.

Tier: Tier 1 – Elite Attack / Survival Defence.

Comment: France combined high scoring with strong big-chance conversion, scoring 5 big-chance goals at 42%. Defensively, they allowed 7 big chances but prevented 6, showing strong survival despite higher defensive exposure.

19. Germany

Attacking Profile: Germany scored 10 goals, created 13 big chances, scored 7 big chances, recorded a 54% BCS rate, and had 70% of their goals come from big chances.

Defending Profile: Germany conceded 4 goals, allowed 4 big chances, conceded 2 from big chances, prevented 2, and had a 50% BC Con/GC rate.

Tier: Tier 1 – Elite Attack / Controlled Defence.

Comment: Germany had one of the strongest attacking profiles, with 7 big-chance goals, a 54% conversion rate, and 70% of goals coming from big chances. Defensively, they allowed only 4 big chances, though 2 were converted, so the defence was controlled but not flawless.

20. Ghana

Attacking Profile: Ghana scored 2 goals, created 4 big chances, scored 2 big chances, recorded a 50% BCS rate, and had 100% of their goals come from big chances.

Defending Profile: Ghana conceded 2 goals, allowed 6 big chances, conceded 1 from a big chance, prevented 5, and had a 50% BC Con/GC rate.

Tier: Tier 3 – Low Attack / Defensive Survival.

Comment: Ghana’s two goals both came from big chances, showing efficiency but limited attacking volume. Defensively, they allowed 6 big chances but prevented 5, so their competitiveness came more from survival than dominance.

21. Haiti

Attacking Profile: Haiti scored 2 goals, created 2 big chances, scored 0 big chances, recorded a 0% BCS rate, and had 0% of their goals come from big chances.

Defending Profile: Haiti conceded 8 goals, allowed 12 big chances, conceded 6 from big chances, prevented 6, and had a 75% BC Con/GC rate.

Tier: Tier 5 – Low Threat / Open Defence.

Comment: Haiti created little and failed to score from big chances, weakening their attacking profile. Defensively, 6 of their 8 goals conceded came from big chances, showing that high-quality chances against were central to their defensive struggles.

22. Iran

Attacking Profile: Iran scored 3 goals, created 8 big chances, scored 3 big chances, recorded a 38% BCS rate, and had 100% of their goals come from big chances.

Defending Profile: Iran conceded 3 goals, allowed 3 big chances, conceded 2 from big chances, prevented 1, and had a 67% BC Con/GC rate.

Tier: Tier 3 – Wasteful but Compact.

Comment: Iran created 8 big chances and all 3 goals came from big chances, but their 38% conversion was slightly below benchmark. Defensively, they allowed only 3 big chances, but 2 became goals, making punishment rather than exposure the issue.

23. Iraq

Attacking Profile: Iraq scored 1 goal, created 2 big chances, scored 0 big chances, recorded a 0% BCS rate, and had 0% of their goals come from big chances.

Defending Profile: Iraq conceded 12 goals, allowed 15 big chances, conceded 7 from big chances, prevented 8, and had a 58% BC Con/GC rate.

Tier: Tier 5 – Low Threat / Open and Punished.

Comment: Iraq offered very little attacking threat and failed to score from big chances. Defensively, they allowed 15 big chances and conceded 7 from them, making them one of the most exposed and punished teams in the model.

24. Ivory Coast

Attacking Profile: Ivory Coast scored 4 goals, created 7 big chances, scored 3 big chances, recorded a 43% BCS rate, and had 75% of their goals come from big chances.

Defending Profile: Ivory Coast conceded 2 goals, allowed 3 big chances, conceded 1 from a big chance, prevented 2, and had a 50% BC Con/GC rate.

Tier: Tier 2 – Balanced Competitor.

Comment: Ivory Coast created above the median and converted above the 40% benchmark, with 75% of their goals coming from big chances. Defensively, they allowed only 3 big chances and prevented 2, giving them a balanced profile.

25. Japan

Attacking Profile: Japan scored 7 goals, created 6 big chances, scored 3 big chances, recorded a 50% BCS rate, and had 43% of their goals come from big chances.

Defending Profile: Japan conceded 3 goals, allowed 1 big chance, conceded 0 from big chances, prevented 1, and had a 0% BC Con/GC rate.

Tier: Tier 2 – Efficient and Secure.

Comment: Japan created at the median but converted half of their big chances, showing strong execution. Defensively, they allowed only 1 big chance and prevented it, meaning none of their conceded goals came from big chances.

26. Jordan

Attacking Profile: Jordan scored 3 goals, created 2 big chances, scored 1 big chance, recorded a 50% BCS rate, and had 33% of their goals come from big chances.

Defending Profile: Jordan conceded 8 goals, allowed 10 big chances, conceded 3 from big chances, prevented 7, and had a 38% BC Con/GC rate.

Tier: Tier 4 – Low Attack / High Exposure.

Comment: Jordan had low attacking volume, with only 1 big-chance goal. Defensively, they allowed 10 big chances but prevented 7, so the issue was repeated exposure even though the conversion against was not extreme.

27. Mexico

Attacking Profile: Mexico scored 6 goals, created 9 big chances, scored 6 big chances, recorded a 67% BCS rate, and had 100% of their goals come from big chances.

Defending Profile: Mexico conceded 0 goals, allowed 3 big chances, conceded 0 from big chances, prevented 3, and had an N/A BC Con/GC rate.

Tier: Tier 1 – Complete Contender.

Comment: Mexico had a perfect attacking link between big chances and goals: all 6 goals came from big chances, with a 67% conversion rate. Defensively, they conceded no goals, allowed only 3 big chances, and prevented all 3.

28. Morocco

Attacking Profile: Morocco scored 6 goals, created 10 big chances, scored 5 big chances, recorded a 50% BCS rate, and had 83% of their goals come from big chances.

Defending Profile: Morocco conceded 3 goals, allowed 3 big chances, conceded 0 from big chances, prevented 3, and had a 0% BC Con/GC rate.

Tier: Tier 1 – Complete Contender.

Comment: Morocco’s attack was strongly supported by big chances, with 5 big-chance goals making up 83% of total goals. Defensively, they allowed only 3 big chances and prevented all of them, showing strong two-way control.

29. Netherlands

Attacking Profile: Netherlands scored 10 goals, created 5 big chances, scored 4 big chances, recorded an 80% BCS rate, and had 40% of their goals come from big chances.

Defending Profile: Netherlands conceded 4 goals, allowed 4 big chances, conceded 2 from big chances, prevented 2, and had a 50% BC Con/GC rate.

Tier: Tier 2 – Clinical Attack / Mixed Defence.

Comment: Netherlands were extremely clinical, converting 4 of 5 big chances, but only 40% of their goals came from big chances, suggesting goals also came from other sources. Defensively, they allowed little volume, but half of the big chances against were converted.

30. New Zealand

Attacking Profile: New Zealand scored 4 goals, created 5 big chances, scored 3 big chances, recorded a 60% BCS rate, and had 75% of their goals come from big chances.

Defending Profile: New Zealand conceded 10 goals, allowed 9 big chances, conceded 5 from big chances, prevented 4, and had a 50% BC Con/GC rate.

Tier: Tier 4 – Clinical but Exposed.

Comment: New Zealand were efficient in attack, with 75% of their goals coming from big chances. Defensively, however, they allowed 9 big chances and conceded 5 from them, so attacking efficiency was undermined by defensive exposure.

31. Norway

Attacking Profile: Norway scored 8 goals, created 14 big chances, scored 6 big chances, recorded a 43% BCS rate, and had 75% of their goals come from big chances.

Defending Profile: Norway conceded 7 goals, allowed 7 big chances, conceded 3 from big chances, prevented 4, and had a 43% BC Con/GC rate.

Tier: Tier 3 – Elite Attack / Defensive Risk.

Comment: Norway had the highest big-chance creation volume, and 75% of their goals came from big chances, showing a strong attacking process. Defensively, they allowed 7 big chances and conceded 3, making their defensive profile risky.

32. Panama

Attacking Profile: Panama scored 0 goals, created 3 big chances, scored 0 big chances, recorded a 0% BCS rate, and had 0% of their goals come from big chances.

Defending Profile: Panama conceded 4 goals, allowed 8 big chances, conceded 4 from big chances, prevented 4, and had a 100% BC Con/GC rate.

Tier: Tier 5 – Low Threat / Exposed.

Comment: Panama failed to convert any of their big chances and scored no goals, making their attacking profile very weak. Defensively, all 4 goals conceded came from big chances, showing that their defensive damage came directly from clear chances allowed.

33. Paraguay

Attacking Profile: Paraguay scored 2 goals, created 1 big chance, scored 1 big chance, recorded a 100% BCS rate, and had 50% of their goals come from big chances.

Defending Profile: Paraguay conceded 4 goals, allowed 9 big chances, conceded 2 from big chances, prevented 7, and had a 50% BC Con/GC rate.

Tier: Tier 3 – Survival Team.

Comment: Paraguay converted their only big chance, but the attacking volume was extremely low. Defensively, they allowed 9 big chances but prevented 7, so their profile is defined by survival under pressure rather than control.

34. Portugal

Attacking Profile: Portugal scored 6 goals, created 8 big chances, scored 2 big chances, recorded a 25% BCS rate, and had 33% of their goals come from big chances.

Defending Profile: Portugal conceded 1 goal, allowed 3 big chances, conceded 1 from a big chance, prevented 2, and had a 100% BC Con/GC rate.

Tier: Tier 2 – Secure but Wasteful.

Comment: Portugal created above the median but scored only 2 big-chance goals, making conversion the main attacking weakness. Defensively, they allowed only 3 big chances, though their only goal conceded came from a big chance.

35. Qatar

Attacking Profile: Qatar scored 2 goals, created 4 big chances, scored 1 big chance, recorded a 25% BCS rate, and had 50% of their goals come from big chances.

Defending Profile: Qatar conceded 10 goals, allowed 13 big chances, conceded 4 from big chances, prevented 9, and had a 40% BC Con/GC rate.

Tier: Tier 5 – Low Threat / High Exposure.

Comment: Qatar had low attacking creation and poor conversion, with only 1 big-chance goal. Defensively, they allowed 13 big chances; even though they prevented 9, the overall exposure was too high.

36. Saudi Arabia

Attacking Profile: Saudi Arabia scored 1 goal, created 2 big chances, scored 1 big chance, recorded a 50% BCS rate, and had 100% of their goals come from big chances.

Defending Profile: Saudi Arabia conceded 5 goals, allowed 8 big chances, conceded 3 from big chances, prevented 5, and had a 60% BC Con/GC rate.

Tier: Tier 3 – Low Threat / Exposed Defence.

Comment: Saudi Arabia’s only goal came from a big chance, but they created just 2 big chances overall. Defensively, 3 of their 5 goals conceded came from big chances, showing that clear chances against were a major source of damage.

37. Scotland

Attacking Profile: Scotland scored 1 goal, created 4 big chances, scored 0 big chances, recorded a 0% BCS rate, and had 0% of their goals come from big chances.

Defending Profile: Scotland conceded 4 goals, allowed 10 big chances, conceded 4 from big chances, prevented 6, and had a 100% BC Con/GC rate.

Tier: Tier 4 – Wasteful and Exposed.

Comment: Scotland created 4 big chances but converted none, so their attack lacked execution. Defensively, all 4 goals conceded came from big chances, making the link between defensive exposure and goals against very clear.

38. Senegal

Attacking Profile: Senegal scored 8 goals, created 10 big chances, scored 4 big chances, recorded a 40% BCS rate, and had 50% of their goals come from big chances.

Defending Profile: Senegal conceded 6 goals, allowed 9 big chances, conceded 4 from big chances, prevented 5, and had a 67% BC Con/GC rate.

Tier: Tier 3 – Strong Attack / Open Defence.

Comment: Senegal had strong attacking volume and reached the 40% conversion benchmark, with half of their goals coming from big chances. Defensively, 4 of 6 goals conceded came from big chances, so attacking strength was weakened by exposure.

39. South Africa

Attacking Profile: South Africa scored 2 goals, created 2 big chances, scored 1 big chance, recorded a 50% BCS rate, and had 50% of their goals come from big chances.

Defending Profile: South Africa conceded 3 goals, allowed 6 big chances, conceded 3 from big chances, prevented 3, and had a 100% BC Con/GC rate.

Tier: Tier 3 – Limited but Competitive.

Comment: South Africa created little, but half of their goals came from big chances. Defensively, all 3 goals conceded came from big chances, so although total goals against was not high, big-chance defending was a major issue.

40. South Korea

Attacking Profile: South Korea scored 2 goals, created 8 big chances, scored 2 big chances, recorded a 25% BCS rate, and had 100% of their goals come from big chances.

Defending Profile: South Korea conceded 3 goals, allowed 4 big chances, conceded 2 from big chances, prevented 2, and had a 67% BC Con/GC rate.

Tier: Tier 4 – Wasteful Attack / Punished Defence.

Comment: South Korea created above the median, and all their goals came from big chances, but converting only 25% shows wastefulness. Defensively, they allowed only 4 big chances, but 2 became goals, meaning punishment was the problem.

41. Spain

Attacking Profile: Spain scored 5 goals, created 8 big chances, scored 3 big chances, recorded a 38% BCS rate, and had 60% of their goals come from big chances.

Defending Profile: Spain conceded 0 goals, allowed 2 big chances, conceded 0 from big chances, prevented 2, and had an N/A BC Con/GC rate.

Tier: Tier 2 – Defensive Elite / Developing Attack.

Comment: Spain created above the median, but their 38% BCS rate was slightly below the benchmark, with 60% of their goals coming from big chances. Defensively, they were elite, conceding no goals, allowing only 2 big chances, and preventing both.

42. Sweden

Attacking Profile: Sweden scored 7 goals, created 7 big chances, scored 3 big chances, recorded a 43% BCS rate, and had 43% of their goals come from big chances.

Defending Profile: Sweden conceded 7 goals, allowed 5 big chances, conceded 4 from big chances, prevented 1, and had a 57% BC Con/GC rate.

Tier: Tier 3 – Strong Attack / Punished Defence.

Comment: Sweden had a solid attacking profile, converting above the benchmark. Defensively, however, 4 of 5 big chances allowed became goals, and 57% of their goals conceded came from big chances, showing severe punishment from limited exposure.

43. Switzerland

Attacking Profile: Switzerland scored 7 goals, created 13 big chances, scored 5 big chances, recorded a 38% BCS rate, and had 71% of their goals come from big chances.

Defending Profile: Switzerland conceded 3 goals, allowed 4 big chances, conceded 1 from a big chance, prevented 3, and had a 33% BC Con/GC rate.

Tier: Tier 2 – High Creation / Secure Defence.

Comment: Switzerland created 13 big chances and 71% of their goals came from them, but conversion stayed slightly below the 40% benchmark. Defensively, they allowed only 4 big chances and prevented 3, giving them a strong defensive base.

44. Tunisia

Attacking Profile: Tunisia scored 2 goals, created 2 big chances, scored 1 big chance, recorded a 50% BCS rate, and had 50% of their goals come from big chances.

Defending Profile: Tunisia conceded 12 goals, allowed 10 big chances, conceded 5 from big chances, prevented 5, and had a 42% BC Con/GC rate.

Tier: Tier 5 – Low Attack / Open Defence.

Comment: Tunisia created very little, even though half of their goals came from big chances. Defensively, they conceded 12 goals, with 5 coming from big chances, showing that both general defending and big-chance defending were major issues.

45. Turkiye

Attacking Profile: Turkiye scored 3 goals, created 12 big chances, scored 3 big chances, recorded a 25% BCS rate, and had 100% of their goals come from big chances.

Defending Profile: Turkiye conceded 5 goals, allowed 5 big chances, conceded 2 from big chances, prevented 3, and had a 40% BC Con/GC rate.

Tier: Tier 3 – Wasteful Creator.

Comment: Turkiye created 12 big chances and all their goals came from them, but a 25% conversion rate shows major wastefulness. Defensively, they were around the median for BCA and BC Con/GC, making attacking execution the main issue.

46. Uruguay

Attacking Profile: Uruguay scored 3 goals, created 5 big chances, scored 3 big chances, recorded a 60% BCS rate, and had 100% of their goals come from big chances.

Defending Profile: Uruguay conceded 4 goals, allowed 3 big chances, conceded 2 from big chances, prevented 1, and had a 50% BC Con/GC rate.

Tier: Tier 3 – Efficient but Limited.

Comment: Uruguay were efficient, with all 3 goals coming from big chances and a 60% conversion rate. Defensively, they allowed only 3 big chances, but 2 became goals, so they were not exposed often but were punished.

47. USA

Attacking Profile: USA scored 8 goals, created 10 big chances, scored 4 big chances, recorded a 40% BCS rate, and had 50% of their goals come from big chances.

Defending Profile: USA conceded 4 goals, allowed 6 big chances, conceded 4 from big chances, prevented 2, and had a 100% BC Con/GC rate.

Tier: Tier 3 – Strong Attack / Defensive Concern.

Comment: USA matched the 40% BCS benchmark and half of their goals came from big chances, showing a strong attacking platform. Defensively, all 4 goals conceded came from big chances, making big-chance defending the major concern.

48. Uzbekistan

Attacking Profile: Uzbekistan scored 2 goals, created 1 big chance, scored 1 big chance, recorded a 100% BCS rate, and had 50% of their goals come from big chances.

Defending Profile: Uzbekistan conceded 11 goals, allowed 14 big chances, conceded 7 from big chances, prevented 7, and had a 64% BC Con/GC rate.

Tier: Tier 5 – Low Ceiling / Open Defence.

Comment: Uzbekistan converted their only big chance, but the attacking volume was too low to create a strong profile. Defensively, they allowed 14 big chances and conceded 7 from them, with 64% of their goals against coming from big chances.


Discussion

The group-stage data shows that Big Chances remain a useful way of understanding tournament performance beyond the scoreline. Goals scored and goals conceded explain the outcome, but the Big Chances model helps explain the process behind that outcome.

The attacking model showed that creating big chances gave teams a stronger platform to score. This was supported by the relationship between Big Chances Created and Goals Scored, where Big Chances Created explained 49% of the variation in goals scored. However, the relationship was not perfect, which means chance creation alone was not enough. Teams still needed execution.

This is where Big Chances Scored, BCS%, and BCS Goal became important. They helped show whether a team’s goals were actually supported by clear chances. Germany, Brazil, Morocco, Mexico, Norway, France, Switzerland, and England all created high big-chance volume, but their profiles were not the same. Germany scored 7 big chances at a 54% conversion rate, while Brazil scored 6 big chances and had 86% of their goals come from big chances. Mexico were even more direct in their attacking profile, with all 6 of their goals coming from big chances.

In contrast, teams like England, Switzerland, Turkiye, and Ecuador showed why creation and conversion must be separated. England created 13 big chances, but converted only 4. Switzerland also created 13 big chances but converted 5. Turkiye created 12 big chances, but scored only 3 from them. Ecuador created 9 big chances but converted just 1. These teams had strong attacking process, but their finishing reduced the value of that process.

The Netherlands provided a different attacking profile. They created only 5 big chances but scored 4 of them, giving them an 80% BCS rate. This showed a clinical attacking profile rather than a high-volume creation profile. Uruguay and DR Congo also followed this pattern, converting a high proportion of limited big chances. This shows that tournament attacking performance can come in different forms: some teams dominate through volume, while others survive through efficiency.

The defensive model added an important second layer to the analysis. The relationship between Big Chances Allowed and Goals Conceded was stronger than the attacking relationship, with Big Chances Allowed explaining 62% of the variation in goals conceded. This suggests that limiting opposition big chances is one of the clearest signs of defensive control in tournament football.

However, the defensive model also showed that Big Chances Allowed alone does not tell the full story. Some teams allowed danger but survived it, while others allowed fewer chances but were punished heavily. This is why Big Chances Conceded, Big Chances Prevented, and BC Con/GC% were central to the defensive interpretation.

Spain and Mexico were the clearest examples of defensive control. Spain conceded 0 goals, allowed only 2 big chances, and prevented both. Mexico also conceded 0 goals, allowed only 3 big chances, and prevented all 3. Colombia, Morocco, Belgium, and Japan also showed strong defensive control because they allowed few big chances and prevented them from becoming goals.

France and Egypt showed a different defensive profile. France allowed 7 big chances but prevented 6, while Egypt allowed 10 big chances but prevented 8. These teams were not fully controlling defensive danger, but they survived a high number of opposition big chances. This type of profile is important because it separates defensive control from defensive survival. A team can concede few goals and still allow too much danger.

At the other end of the model, teams such as Curacao, Iraq, Haiti, Qatar, Tunisia, and Uzbekistan were heavily exposed defensively. Curacao allowed 15 big chances and conceded 6 from them. Iraq also allowed 15 big chances and conceded 7 from them. Uzbekistan allowed 14 big chances and conceded 7 from them. These teams were not only allowing too many clear chances; they were also being punished frequently from those chances.

Some teams had strong attacking profiles but defensive concerns. Norway created 14 big chances, scored 6 from them, and had 75% of their goals come from big chances. However, they also conceded 7 goals and allowed 7 big chances. Senegal also had a strong attacking profile, scoring 8 goals from 10 big chances created, but conceded 6 goals and allowed 9 big chances. USA followed a similar pattern: strong attacking output, but all 4 goals conceded came from big chances. These teams had enough attacking quality to compete, but their defensive profiles raised concerns.

The tiering model helped bring these patterns together. Tier 1 teams were those with the strongest balance between attacking efficiency and defensive efficiency. Brazil, Mexico, Morocco, Germany, and France stood out because their numbers showed either strong two-way control or elite attacking output supported by acceptable defensive performance.

Tier 2 teams were strong, but with one clear concern. Some, like Spain and Colombia, were defensively excellent but needed sharper attacking conversion. Others, like England, Switzerland, Belgium, and Portugal, had strong processes but lower attacking efficiency. These teams were competitive, but the numbers showed areas that could limit them against stronger opposition.

Tier 3 teams had mixed profiles. Some had strong attacking numbers but defensive risk, such as Norway, Senegal, and USA. Others were efficient but limited, or survived defensively despite exposure. Tier 4 and Tier 5 teams had clearer weaknesses, either through poor attacking execution, low chance creation, high defensive exposure, or a heavy dependence on survival.

Overall, the group-stage model shows that tournament performance is shaped by both boxes. Teams must create decisive chances, but they must also convert them. They must limit opposition big chances, but when those chances arrive, they must prevent them from becoming goals.

This is the main value of the expanded World Cup model. It not only asks who scored or conceded. It asks whether the goals were supported by the attacking process, whether the defence controlled danger, and whether teams were efficient or vulnerable in the decisive moments.


Conclusion

2026 FIFA World Cup Round of 32

The group-stage analysis shows that Big Chances remain a valuable way to understand tournament football beyond the final scoreline. Goals scored and goals conceded tell us what happened, but Big Chances help explain how those outcomes were created, missed, allowed, prevented, or punished.

From the attacking model, the key lesson is that chance creation alone is not enough. Teams such as Germany, Brazil, Mexico, Morocco, France, and Norway showed strong attacking profiles because their goals were supported by big-chance creation and conversion. However, teams such as England, Switzerland, Turkiye, and Ecuador showed that creating big chances does not automatically translate into efficiency. Execution remains the difference between attacking promise and attacking reward.

From the defensive model, the key lesson is that goals conceded do not always tell the full defensive story. Spain, Mexico, Colombia, Morocco, Belgium, and Japan showed strong defensive control by limiting Big Chances Allowed and preventing them from becoming goals. Other teams, such as France, Egypt, Croatia, and Paraguay, survived a higher level of defensive exposure by preventing many of the big chances they allowed. This distinction between defensive control and defensive survival is central to the expanded World Cup model.

The tiering model also helped show that teams can have very different tournament profiles. Some teams were complete contenders, combining attacking efficiency with defensive efficiency. Some were strong but carried one clear weakness. Others were dangerous going forward but defensively open, while some struggled because they lacked attacking threat, defensive control, or both.

Overall, Part 1 establishes the group-stage foundation of the World Cup 2026: Goal Scoring Efficiency and Defensive Efficiency series. It shows which teams created decisive chances, which teams converted them, which teams allowed danger, and which teams survived or conceded from those moments.

Part 2 of the series will move into the knockout stage, where the margins become smaller and the quality of opposition becomes stronger. The focus will shift to the teams left in the competition, profiling them through the same attacking and defensive big-chance model. At that stage, the key question becomes sharper: which teams have a big-chance profile strong enough to survive knockout football?