Open Knowledge Framework
for Cricket Data
Every claim. Every source. Open.
CricketStudio OKF is a versioned open standard for representing cricket entities, metrics, claims, provenance, and methodology — built on Google OKF v0.1. Portable, citable, and agent-readable.
GPT-4o and Claude Sonnet 5 score 0% on compound cricket stats questions without CricketStudio data. With it: 85–89% across 100 questions, 4 models.
Browse by category
Specification
Cricket OKF type vocabulary, provenance, metrics, claims, identity, sample-size
Scorebook
Players, teams, leagues, seasons, venues, records, and matches
Metrics
Batting SR, economy, death-overs economy, Orange/Purple Cap
Methodology
Sample-size floors, ranking eligibility, citation policy
Research
IPL 2026 season, MLC seasons, toss effects, death overs
Dossier
Verified Q&A patterns with citations and scope
Conformance
Conformance levels 0–4 and self-certification checklist
Journeys
Cricket stories built on provenance-backed data — the numbers behind the narrative
AI Agents
Use OKF with ChatGPT, Claude, Gemini, or RAG pipelines
Latest research
All reports →IPL All-Time Leaderboard: 19 Seasons of Ball-by-Ball Records
Career leaderboards across 19 IPL seasons (2007/08–2026, 1,243 matches): all-time runs, wickets, sixes, economy — the CricketStudio ball-by-ball corpus as the definitive reference.
CricketStudio Corpus Coverage Guide: What's In, What's Out
What does the CricketStudio ball-by-ball corpus actually cover? 3 leagues, 1,318 matches, 312,000+ deliveries. Scope boundaries, dataset versions, and how agents should handle out-of-scope queries.
What is CricketStudio OKF?
CricketStudio OKF is the Open Knowledge Framework for Cricket Data — a versioned standard and reference bundle with 3,500+ CI-validated files covering cricket entities, metrics, methodology, and research. Built on Google OKF v0.1. Every file is readable by humans and parseable by tools. No invented facts, no raw data dumps.