Cricket analytics & insights platform Live scores updated every 30 seconds

CricStats exists to turn raw cricket data into knowledge that players, coaches and fans can actually use. We study match footage, scorecards and performance trends so the numbers behind the game make sense.

Built on data, driven by the love of the game

Match analysis that matters Every match tells a story beyond the scoreboard. We break down partnerships, bowling spells and fielding placements to show why a game turned the way it did — and what it means for the next one.
Player development resources From age-group cricket to the professional circuit, we map the skills, fitness benchmarks and mental routines that help players progress. Our guides are built with input from coaches who work with developing athletes.
Statistical performance insights Strike rates, economy figures, wicket-to-ball ratios — we contextualise the numbers so they inform decisions rather than just decorate a report. Data is only useful when it changes how you prepare.
Structured digital learning Our content is organised into clear pathways: tactical breakdowns, technique guides and analytics explainers. Whether you are a player, a coach or a curious fan, you can find the level of detail you need without wading through noise.

Milestones in Cricket Analytics

From early scorecards to live data feeds, the way we study cricket has changed in distinct phases. Each step below marks a shift in how coaches, analysts and players read the game.

2016 — First Ball-by-Ball Database We began logging every delivery across domestic and international fixtures, building the foundation for our match analysis library.
2018 — Player Development Modules Launched structured video breakdowns and drill packs for batting, bowling and fielding, tied to real match footage.
2020 — Statistical Performance Dashboards Introduced per-player trend charts covering strike rate, economy, and pressure situations, replacing static tables.
2022 — Coach Collaboration Tools Added shared annotation boards so coaching staff can mark up deliveries and share feedback with athletes directly.
2024 — Live Match Context Engine Rolled out real-time context tags — pitch phase, required run rate, field placement — to sharpen tactical reads.
2025 — Open Learning Archive Published a public index of analysis guides and case studies, making our methodology available to emerging analysts.

Who we are

Built for those who study the game

CricStats is a sports knowledge platform focused on cricket analytics, match analysis and player development. We turn raw match data and performance records into structured learning resources for players, coaches and fans who want to understand the game beyond the scorecard.

Match analysis that explains the why

Every game produces hundreds of data points. We examine bowling plans, batting approaches, field placements and momentum shifts to show how matches are actually won and lost.

Clear breakdowns, not just highlights

Player development resources

From domestic pathways to international selection, we document the training systems, fitness benchmarks and technical drills that help cricketers progress through the ranks.

Structured guidance for every stage

Statistical performance insights

Strike rates, economy figures, wicket-to-ball ratios and contextual metrics — we present them in plain language so you can apply the numbers to real decisions.

Data you can actually use

Digital learning for the cricket community

Our content is built for self-paced study: detailed articles, tactical breakdowns and development guides that stay relevant across formats and levels of play.

Knowledge that travels with you

The Analysts Behind the Data

Our team combines professional playing experience with sports science and statistical modeling. Each member brings a specific discipline to the platform, from biomechanics to performance analytics.

Lead Analyst

Clyde Jones DVM

Former domestic wicketkeeper with a doctorate in veterinary medicine. Clyde oversees match data integrity, verifying every delivery and dismissal before it enters our performance database. His background in clinical observation sharpens how we flag anomalies in player output.

Performance Researcher

Cassie Larson

Cassie spent six seasons as a strength and conditioning coach with a state cricket squad. She translates raw fitness metrics into practical development plans, focusing on workload management and injury prevention for fast bowlers and all-rounders.

Statistical Modeler

Alf Mante

Alf builds the predictive models that power our match previews and player projections. With a background in applied mathematics, he specializes in context-aware batting and bowling indices, weighting performance by opposition quality and pitch conditions.

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