👉 ** Download worldcup.db (SQLite 3, ~4.2 MB)** (Replace with actual link)
SELECT player_name, COUNT(*) AS total_goals FROM goals JOIN players ON goals.player_id = players.player_id GROUP BY player_name ORDER BY total_goals DESC LIMIT 5; (Expected: Miroslav Klose, Ronaldo, Gerd Müller, etc.) worldcup database sqlite download
If you’ve ever tried to analyze World Cup history—from Uruguay 1930 to Qatar 2022—you know the struggle. Data is scattered across JSON files, messy CSV exports, or behind rate-limited APIs. 👉 ** Download worldcup
| Table | Sample Columns | |-------|----------------| | matches | year, home_team, away_team, home_goals, away_goals, stage, attendance | | teams | team_id, team_name, confederation (UEFA, CONMEBOL, etc.) | | players | player_name, team_id, position, caps, goals | | goals | match_id, player_id, minute, own_goal, penalty | | tournaments | year, host_country, winner, top_scorer, total_goals | Data covers 1930–2022 (all 22 tournaments, 900+ matches, 2,700+ goals). I’ve prepared a clean, version-controlled copy for you. No registration, no paywalls. I’ve prepared a clean, version-controlled copy for you