FIFA 2026 Player Impact Analytics

Analyzed FIFA 2026 player data using SQL to identify top performers, evaluate team impact, and generate data-driven football insights from 72 player statistics.

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Inspiration

Football players are often judged only by goals scored, but true performance involves many factors such as assists, defensive actions, and overall contribution to the team. We wanted to use data analytics to uncover deeper insights from FIFA 2026 player statistics and identify the most impactful players using SQL.

What it does

FIFA 2026 Player Impact Analytics analyzes player performance using 72 statistical metrics from a FIFA 2026 dataset. The project identifies top attackers, defensive leaders, goalkeepers, and overall impact players. It also introduces a custom Player Impact Score that combines multiple performance indicators to evaluate players more comprehensively.

How we built it

Collected and imported the FIFA 2026 dataset from Kaggle. Stored the data in a SQL database. Wrote SQL queries to analyze attacking, defensive, and goalkeeping performance. Calculated player rankings based on efficiency and contribution metrics. Organized the project in GitHub with SQL scripts, documentation, and results.

Challenges we ran into

Understanding and cleaning a dataset with 72 different columns. Identifying the most meaningful metrics for player evaluation. Handling missing values and inconsistent statistics. Designing a fair Player Impact Score that balances attacking and defensive contributions.

Accomplishments that we're proud of

Successfully analyzed a large football dataset using SQL. Created multiple performance-based player rankings. Developed a custom Player Impact Score. Built a clean and well-documented GitHub project suitable for portfolio and hackathon submission.

What we learned

Advanced SQL querying and data analysis techniques. How sports analytics can reveal insights beyond traditional statistics. The importance of data cleaning and metric selection. Best practices for organizing and presenting data projects on GitHub

What's next for FIFA 2026 Player Impact Analytics

Build interactive dashboards using Power BI or Tableau. Add visualizations and trend analysis. Compare players across teams and positions. Incorporate machine learning models to predict future player performance. Expand the project with real-time football datasets and advanced analytics.

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