wc2026-match-analysis

Brazil vs Morocco FIFA World Cup 2026 — complete match analysis with Pandas, Matplotlib, xG, player ratings and match timeline

#data-analysis#data-science#eda#football#matplotlib#pandas

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README preview

Brazil vs Morocco — FIFA World Cup 2026 Match Analysis

Result: Brazil 2 – 1 Morocco | Group Stage | FIFA World Cup 2026

Complete data analysis of the Brazil vs Morocco group stage clash using Python, Pandas, and Matplotlib.

Visualizations

Match Overview Dashboard

Shooting Analysis

Player Ratings

Match Timeline

Head-to-Head Stats

Top Performers

Key Insights

Metric	Brazil	Morocco
Possession	57%	43%
Total Shots	19	11
Shots on Target	8	4
xG (Expected Goals)	2.41	0.87
Pass Accuracy	88%	79%
Avg Player Rating	7.72	7.34

MVP: Vinicius Jr. (8.7 rating) — 1 goal, 5 shots, 3 on target
Brazil dominated possession and created significantly more danger (xG 2.41 vs 0.87)
Morocco stayed compact defensively — 23 tackles won vs Brazil's 18
Hakimi's goal (71') made it a tense finish after Brazil went 2-0 up
Bounou was Morocco's standout — 6 saves kept the score respectable

Project Structure

wc2026-match-analysis/
├── data/
│   ├── match_stats.csv      # Team-level match statistics
│   ├── player_stats.csv     # Individual player performance data
│   └── timeline.csv         # Minute-by-minute match events
├── plots/
│   ├── 01_match_overview.png
│   ├── 02_shooting_analysis.png
│   ├── 03_player_ratings.png
│   ├── 04_match_timeline.png
│   ├── 05_head_to_head.png
│   └── 06_top_performers.png
├── analysis.py              # Full analysis script
└── README.md

How to Run

git clone https://github.com/adhocpra/wc2026-match-analysis.git
cd wc2026-match-analysis
pip install pandas matplotlib numpy
python3 analysis.py

Stack

Python 3.12
Pandas — data loading and manipulation