Tekhnika/football-match-events-player-performance-free

---
pretty_name: Football Match Events Player Performance
language:
- en
license: cc-by-nc-4.0
tags:
- tabular-data
- analytics
- sports-analytics
- football
task_categories:
- tabular-classification
size_categories:
- 1K<n<10K
---

# Football Match Events Player Performance

Free football analytics sample for match event analysis, player evaluation, and dashboard prototyping.

## What is included
- match_events.csv: 2951 rows, 10 columns
- matches.csv: 210 rows, 10 columns
- player_performance.csv: 3794 rows, 10 columns
- players.csv: 115 rows, 9 columns
- team_daily_metrics.csv: 421 rows, 10 columns
- teams.csv: 5 rows, 8 columns

## Why this dataset is useful
- Good starter sample for football dashboards, SQL analysis, and notebook-based exploration.
- Useful for validating joins across matches, players, teams, events, and daily metrics.
- Keeps the package lightweight while preserving the linked structure of the full dataset.

## Starter use cases
- Match event and xG baseline analysis.
- Player contribution and team form dashboard prototype.

## Schema overview
### match_events.csv
- Rows: 2951
- Columns: event_id, match_id, team_id, player_id, event_type, minute, period, event_outcome, xg_value, body_part

### matches.csv
- Rows: 210
- Columns: match_id, home_team_id, away_team_id, match_date, venue_type, match_result, attendance, home_score, away_score, competition

### player_performance.csv
- Rows: 3794
- Columns: performance_id, match_id, team_id, player_id, minutes_played, shots_total, rating_score, starter_flag, goals, assists

### players.csv
- Rows: 115
- Columns: player_id, team_id, player_name, primary_position, age, nationality, dominant_foot, market_value_m, squad_role

### team_daily_metrics.csv
- Rows: 421
- Columns: metric_id, team_id, metric_date, goals_scored, avg_team_rating, matches_played, points_won, goals_conceded, possession_pct, xg_for

### teams.csv
- Rows: 5
- Columns: team_id, country, team_name, league_name, stadium_name, coach_style, tactical_shape, squad_value_m

## Free vs full version
- Free Kaggle sample: reduced rows, reduced columns, starter notebook, and enough linked football tables for realistic evaluation.
- Full version: full row volume, richer feature set, full field coverage, and a stronger package for advanced sports analytics and ML workflows.

## Upgrade to full version
- Full version: https://tekhnikalab.gumroad.com/l/football-match-events-player-performance
- Upgrade if you need larger volume, richer columns, or a stronger sports analytics dataset for dashboards, modeling, or portfolio-ready projects.

## Notes
- Contains generated data only and no real personal data.
- Designed as a lightweight free sample for evaluation and discovery.