👋 Welcome to the SportsVerse

Clean sports data for people who'd rather analyze than clean

Tired of Wrestling with Messy Sports Data?

Same. We've all been there – downloading what looks like a simple box score only to find nested JSON nightmares, inconsistent field names, and percentages stored as text. Life's too short for data cleaning.

That's why we built SportsVerse – a growing collection of sports scrapers that deliver analysis-ready data. No parsing. No cleanup. Just data.

💡 Why Us?

• ✅ Flat & Clean: No nested objects, no cryptic field names
• ✅ Proper Types: Numbers are numbers, dates are dates
• ✅ Logical Prefixes: Fields grouped by category (score_, shot_, player_)
• ✅ Deep Historical Coverage: Years of data at your fingertips
• ✅ Actively Maintained: We fix things when sources change

🛠️ What We Offer

We're building a comprehensive sports data ecosystem:

• 📋 Play-by-Play: Every play, every game – shots, fouls, substitutions, coordinates
• 📊 Team Box Scores: Game-level team stats with shooting splits and advanced metrics
• 👤 Player Box Scores: Individual performances with all the counting stats you need
• 🗓️ Schedules & More: Game times, matchups, and season calendars

🤝 Let's Connect!

We actually read feedback. Every comment, suggestion, and bug report.

• 💬 Drop a comment – ideas, issues, or just to talk hoops
• 🐛 Found a bug? We'll fix it
• 💡 Want a new field? Ask and you might receive
• ☕ Just want to chat sports? We're here for that too