Phone camera vs radar gun for bowling speed: what to use in training
When a radar gun wins, when a camera-based cricket app wins, and how to combine methods so your training data is comparable week to week.
Same goal, different physics path
Both approaches try to answer: **how fast was the ball moving?** Radar typically measures velocity along a beam; camera systems infer motion from images and geometry.
Neither is "magic" - both have failure modes.
Radar guns: best when setup is disciplined
Choose radar when: you already own one, someone competent operates it each session, and you care about a direct speed read in controlled conditions.
Watch out for: aim, distance, obstructions, and comparing readings taken from inconsistent positions.
Phone cameras: best when convenience drives consistency
Choose a camera-based cricket app when: you will actually capture every week because the device is already in your bag, and you want session structure (delivery list, trends) rather than a single number shouted across the net.
Watch out for: poor angles, dark nets, and apps that never admit uncertainty.
The hidden winner: whichever you repeat
The biggest accuracy killer is not radar vs phone - it is **non-comparable sessions**. Pick a method, standardize placement, and keep notes on conditions.
Advanced: fusion with wearables
If you want to push past single-sensor limits, look for products that can **fuse** vision with wearable timing when signals agree. That is the design philosophy behind **FusionTrack** in Crickmatic.
Read FusionTrack, then see the Crickmatic app.