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🌹 About Statsledge

The story behind the most comprehensive IPL analytics platform. Where data meets cricket expertise.

📖 What We're Building

Statsledge is a data-driven IPL pre-season magazine: the kind of premium content that coaches reference, commentators cite, and serious cricket analysts bookmark.

We're building the analytics infrastructure to produce:

  • Predicted Playing XIs for all 10 IPL franchises
  • Position-by-position Depth Charts with ratings
  • Player archetype classifications and matchup analysis
  • Tactical insights validated by cricket domain experts
  • The Film Room: NL-powered SQL search across 2.38M ball-by-ball records
  • Pressure analytics with context-aware entry metrics

This isn't about betting or fantasy. It's about experiencing cricket deeper, giving fans insights that enhance how they watch, discuss, and understand the game.

🤔 Why We're Building It

Cricket is more than a sport in India. It's a passion. But most fans consume the game through surface-level statistics. They deserve better.

  • Too shallow: Basic stats, no real insight
  • Too academic: Methodologies nobody can apply
  • Too generic: Not team-specific or context-aware

✓ We're building data-driven analysis that empowers fans, uncovering insights that enhance how they watch, discuss, and understand cricket.

1

Data Foundation

Cricsheet ball-by-ball data
219+ IPL matches, 2023-2025

2

Analytical Layer

163 DuckDB views, 103 dual-scope
K-means clustering, matchups, rankings

3

Domain Validation

Every insight reviewed
by cricket experts (Andy Flower)

4

Quality Gates

8-step Task Integrity Loop
via Mission Control

👥 Who We Cater To

Audience What They Get
🏏 Passionate Fans Predicted XIs, player matchups, form analysis to enhance match viewing
🎯 Cricket Enthusiasts Deep tactical insights, team analysis, discussion fodder
📊 Analysts & Coaches Methodology docs, raw metrics, research frameworks
🌹 The Founder Portfolio of deliverables, quality dashboard

💡 Our Inspiration

PFF

Play-by-play grading, context-aware analysis, process over outcome

KenPom

Adjusted efficiency, tempo-free stats, four factors decomposition

CricViz / ESPN

User experience, progressive disclosure, storytelling with data

🌹

The Founder

"I'm gonna make him an offer he can't refuse."

Every deliverable. Reviewed. Approved. The Founder's blessing makes it official.

🎭 The Agent Roster

14 AI agents, each modeled after a legendary sports figure | Sprint 4.0 Ratings

⚽
Florentino Perez
Program Director
4.5 Excellent
🏈
Tom Brady
PO & Editor-in-Chief
4.7 Excellent
🏀
Stephen Curry
Analytics Lead
5.0 Elite
🏏
Andy Flower
Cricket Domain Expert
4.5 Excellent
⚽
Kevin de Bruyne
Visualization & UI/UX Lead
4.5 Excellent
⚽
N'Golo Kante
QA & Stats Integrity Lead
4.8 Elite
🏀
Ime Udoka
ML Ops Engineer
4.0 Strong
🏀
Brad Stevens
Architecture & Performance Lead
4.8 Elite
🏈
Brock Purdy
Data Pipeline Owner
4.9 Elite
🏀
LeBron James
Social Atomization
3.0 Needs Activation
⚽
Jose Mourinho
Quant Researcher
4.6 Excellent
⚽
Pep Guardiola
Retrospectives & CI
3.5 Developing
🏏
Virat Kohli
Tone & Narrative Guard
4.2 Strong
🏀
Jayson Tatum
UX & Reader Flow Auditor
4.3 Strong
📡 Mission Control 🐙 GitHub Repository 📚 Research Docs 🎬 The Film Room 🏠 Back to Home