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Pes 4 Database -

PES 4 Database — Overview and Guide

The "Classic" Stat System

The core of the PES 4 database was the iconic 1-99 scale. While modern games often compress stats to make players feel similar, PES 4 was unapologetically ruthless. The gap between a world-class striker and an average one wasn't just a few points; it was a canyon.

Thierry Henry didn't just feel fast; he had the Acceleration and Top Speed stats to prove it. If you came up against the legendary "Master League" strikers like Castolo or Minanda, you knew exactly what you were dealing with because the database told you their Response stat was glitched.

The database was built on "feel." The developers at Konami didn't necessarily care about perfect data analytics; they cared about simulation. A player with high Agility and Dribble Accuracy like Roberto Baggio (in the Classic teams) felt distinct from a power dribbler like Adriano. The numbers didn't just calculate outcomes; they dictated physics.

Conclusion

The PES 4 database is more than a relic — it's a blueprint for how meaningful stats can define a virtual sport. Whether you're a retro gamer revisiting the golden era of football sims, a data nerd fascinated by 0–99 scales, or a modder keeping the game alive, understanding this database unlocks the true soul of PES 4.

"The magic isn't just in how it plays — it's in how every player is uniquely crafted, down to the last hidden stat."

Part 1: The Architecture of the PES 4 Database

Unlike modern games that rely on daily live updates and cloud-based patches, the PES 4 database was a static masterpiece. It contained approximately 4,500 players across 140 club teams and 50 national teams.

3. Arsenal (The Invincibles)

The Icons of the PES 4 Era: Database Legends

If you look up "PES 4 database" on forums today, you aren’t searching for a third-division Swedish left-back. You are searching for gods. The meta of PES 4 was defined by a few freakish statistical anomalies: pes 4 database

Part 4: Club Teams – The Galaxy Brain Era

Modern football is about systems. PES 4 was about star power. The club database reflected a golden era where "Galácticos" and "Milan's Golden Boys" ruled.

Common Edits & Mods

Legacy

The PES 4 database stands as a time capsule. It captured the sport at a crossroads: the decline of the Serie A dominance, the rise of the Roman Abramovich-era Chelsea, and the beginning of the Messi/Ronaldo era.

While modern football games offer thousands of players and minute-by-minute stat updates, they often lack the personality of PES 4. In that database, every unlicensed team felt like a challenge to fix, every young player a prospect to develop, and every 99-rated dribbler a joy to control. It remains a benchmark for how statistical abstraction can translate into beautiful gameplay.

Introduction

The PES 4 (Player Evaluation System 4) database is a comprehensive repository of data used to evaluate and analyze player performance in various sports, particularly football (soccer). The database contains a vast array of data points, including player statistics, team performance metrics, and scouting reports. This report provides an overview of the PES 4 database, its features, and its applications.

Database Structure

The PES 4 database is structured into several modules, each focusing on a specific aspect of player evaluation:

  1. Player Master Database: This module contains detailed information on over 100,000 players worldwide, including their biographical data, career history, and current team affiliations.
  2. Performance Database: This module stores a vast array of performance metrics, including:
    • Match-by-match statistics (e.g., goals scored, assists, tackles won)
    • Seasonal statistics (e.g., total goals, assists, appearances)
    • Advanced metrics (e.g., expected goals, expected assists, passing accuracy)
  3. Scouting Database: This module contains scouting reports on players, including:
    • Technical abilities (e.g., dribbling, passing, shooting)
    • Physical attributes (e.g., speed, strength, agility)
    • Tactical awareness and positioning
  4. Team Performance Database: This module stores team-level performance metrics, including:
    • Match-by-match results and statistics
    • Seasonal standings and statistics
    • Team possession and passing statistics

Key Features

The PES 4 database offers several key features that make it a valuable resource for football clubs, scouts, and analysts:

  1. Advanced Data Analysis: The database provides a range of advanced metrics and statistical models to analyze player and team performance.
  2. Customizable Reporting: Users can create custom reports and dashboards to focus on specific areas of interest.
  3. Scouting Tools: The database includes a range of scouting tools, including player comparison and identification of potential transfer targets.
  4. Integration with Other Systems: The PES 4 database can be integrated with other systems, such as video analysis software and talent identification platforms.

Applications

The PES 4 database has a range of applications across the football industry:

  1. Talent Identification: Clubs and scouts use the database to identify top talent and potential transfer targets.
  2. Player Evaluation: Coaches and analysts use the database to evaluate player performance and develop strategies for improvement.
  3. Team Building: Clubs use the database to build and optimize their squads, identifying areas of strength and weakness.
  4. Broadcasting and Media: Media outlets use the database to provide insightful commentary and analysis during matches.

Conclusion

The PES 4 database is a powerful tool for football clubs, scouts, and analysts. Its comprehensive data and advanced features make it an essential resource for evaluating player and team performance. As the football industry continues to evolve, the PES 4 database is likely to play an increasingly important role in shaping decision-making and strategy.

Recommendations

Based on this report, we recommend:

  1. Regular Updates: Regularly update the database to ensure data accuracy and relevance.
  2. Training and Support: Provide training and support for users to maximize the database's potential.
  3. Integration with Other Systems: Explore opportunities to integrate the PES 4 database with other systems and tools.

Limitations

This report has several limitations:

  1. Data Quality: The accuracy and completeness of the data in the PES 4 database depend on various factors, including data collection methods and sources.
  2. Scope: The report focuses on the PES 4 database and its applications in football, but does not consider other sports or industries.

Future Research Directions

Future research could explore:

  1. Data Visualization: Developing innovative data visualization techniques to communicate complex data insights.
  2. Machine Learning: Applying machine learning algorithms to predict player and team performance.
  3. Comparative Analysis: Comparing the PES 4 database with other player evaluation systems.