fifa-world-cup-2026-player-performance-dataset 已完整同步
FIFA World Cup 2026 Player Performance Dataset
The FIFA World Cup 2026 Player Performance Dataset is a comprehensive collection of player statistics, match events, and performance metrics gathered throughout the tournament. Designed for sports analytics, machine learning, data visualization, and football research, this dataset provides detailed insights into individual and team performances across all stages of the competition.
The dataset includes player attributes, match participation records, goals, assists, shots, passing accuracy, defensive actions, goalkeeper statistics, disciplinary records, physical performance indicators, and advanced analytical metrics. It enables users to evaluate player effectiveness, compare athletes across positions, identify emerging talents, and analyze tactical trends during the tournament.
Researchers, data scientists, football analysts, students, and sports enthusiasts can use this dataset to build predictive models, create interactive dashboards, perform statistical analysis, and explore performance patterns at both player and team levels. The dataset is suitable for applications such as player rating systems, match outcome prediction, scouting analysis, team strategy evaluation, and AI-powered football intelligence systems.
Example Features
- Player ID
- Player Name
- National Team
- Position
- Age
- Height
- Weight
- Matches Played
- Minutes Played
- Goals
- Assists
- Shots
- Shots on Target
- Passes Completed
- Pass Accuracy (%)
- Key Passes
- Dribbles Completed
- Tackles
- Interceptions
- Clearances
- Saves (Goalkeepers)
- Clean Sheets
- Yellow Cards
- Red Cards
- Expected Goals (xG)
- Expected Assists (xA)
- Distance Covered
- Sprint Count
- Player Rating
Potential Use Cases
- Football Performance Analysis
- Sports Data Science Projects
- Machine Learning and AI Research
- Predictive Analytics
- Player Scouting Systems
- Team Performance Evaluation
- Data Visualization Dashboards
- Sports Business Intelligence
- Educational and Academic Research
- FIFA World Cup Historical Analysis
This dataset offers a valuable foundation for understanding player performance dynamics during the FIFA World Cup 2026 and supports advanced analytical exploration of one of the world's most prestigious sporting events.
1 个文件
浏览文件数据集版权信息
本数据集的许可证为 MIT License。如有违反相关条款,请联系 WEHUB,我们将及时处理。 查看许可证
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前置要求
需要 Node.js 18 及以上,以及 npm(或 npx)。
1. 安装 CLI
npm install -g wehub-cli@latest
2. 下载此数据集
wehub datasets download ds_ext_9bcf7c8819 --revision 2026-06-10T12_58_47.093Z --output ./ds_ext_9bcf7c8819
若中断或部分失败,在同一目录重新执行同一命令即可续传。默认会校验 SHA-256。
免全局安装
npx --yes wehub-cli@latest datasets download ds_ext_9bcf7c8819 --revision 2026-06-10T12_58_47.093Z --output ./ds_ext_9bcf7c8819
高级选项
以下为 wehub datasets download 已支持的参数示例:
强制重新下载,不复用已校验的本地文件
wehub datasets download ds_ext_9bcf7c8819 --revision 2026-06-10T12_58_47.093Z --output ./ds_ext_9bcf7c8819 --overwrite
仅包含匹配路径
wehub datasets download ds_ext_9bcf7c8819 --revision 2026-06-10T12_58_47.093Z --output ./ds_ext_9bcf7c8819 --include "*.jsonl"
排除匹配路径
wehub datasets download ds_ext_9bcf7c8819 --revision 2026-06-10T12_58_47.093Z --output ./ds_ext_9bcf7c8819 --exclude "*.md"
提高并发下载数
wehub datasets download ds_ext_9bcf7c8819 --revision 2026-06-10T12_58_47.093Z --output ./ds_ext_9bcf7c8819 --jobs 8
完整帮助:wehub datasets download --help