International Football Match Predictions with Engineered Features

A dataset of international football matches used to train an ML prediction system for the 2026 World Cup. It was created by author 'adibmed' and last updated on June 5, 2026. The dataset contains ML-ready engineered features intended to predict match outcomes and expected goals.

Use Cases

• Predict win/draw/loss probabilities for international football matches based on engineered features.
• Estimate expected goals (xG) for matches between national teams using the described ML system.
• Generate consensus forecasts by combining pure ML predictions with outputs from LLMs like Claude and GPT-5.5.
• Benchmark or train ensemble models like CatBoost and LightGBM on sports prediction tasks.

Strengths

• Contains ML-ready engineered features, as stated in the description.
• Specifically designed for generating predictions for the 2026 World Cup.
• Last update timestamp is provided: 2026-06-05 20:47:41.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license information are unknown, which may limit suitability assessment.

Provenance

Source

huggingface

Collection Method

Likely compiled from international football match records for ML training.

Freshness

Last updated 2026-06-05 20:47:41; freshness should be verified.

Geography

International (national teams)