Exploring the intersection of sports science, machine learning models, and grassroots organization strategies to elevate how cricket is played.
Until recently, 3D ball path projection and edge detection were only accessible to international games using $200k setups. Today, computer vision models running on standard smartphone chips can reconstruct pitch maps with high accuracy. Learn how CricsApp is democratizing fair play decisions.
Traditional metrics like average don't tell the full story. We explore split strike rates by bowler type, dot ball percentages, and boundary frequencies to discover hidden trends in your game.
Organizing a local league involves endless emails, disputed scoring lists, and sudden schedule changes. This guide provides scheduling formulas, pitch rules, and communication templates.
Our latest software update allows scorers to map hit points in a full 360-degree range. Learn how to filter your wagon wheels to isolate boundaries and wickets to study your styles.
Explore the computer vision mechanisms driving our single-camera LBW projection and how sound-wave frequency peaks isolate bat edges from wind sweeps.
Learn how to record short video cuts of your batting stance to let CricsApp calculate strike paths, timing values, and suggest custom training drills.
Are you bowling too short or over-pitching full tosses? Study how to read your pitch landing plots to lock in an unplayable, consistent good length.
Unpack the tactical difference between playing late or pushing early. Discover how identifying gaps on your wagon wheel chart helps you manipulate fields.
