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.
📦 github.com/yourusername/worldcup-sqlite (Update with real link) 📧 Contact: data@yourblog.com Final Word Stop wrestling with messy web scrapers. Grab the SQLite file, open your terminal, and start asking real questions of World Cup history. worldcup database sqlite download
Tagline: Stop scraping Wikipedia. Here’s a ready-to-use SQLite database of every World Cup match (1930–2022). If you’ve ever tried to analyze World Cup
SELECT year, home_team, away_team, home_goals || ' - ' || away_goals AS score FROM matches WHERE stage = 'Final' ORDER BY year; Grab the SQLite file, open your terminal, and
👉 ** 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.)