Cricket batting technique analysis: what to measure in every shot
By Rishi Gupta and Pradaksh Prasun · Published · Updated
Cricket batting analysis measures how a batter plays each shot, so you can see which shots broke down and what they had in common. Phone-video analysis measures the body without markers or a lab: base, trunk rotation, head stability and the order in which body segments speed up. Bat sensors measure the bat, and ball-tracking apps the ball.
Why per-shot beats per-session
Batting analysis measures each shot separately rather than scoring a session as a whole. That matters because technique varies delivery to delivery, and an average hides the thing you most want to find: which shots broke down, and what they had in common.
A session average tells you roughly how you batted. It cannot tell you that your balance held for twelve shots and collapsed on the three that came at your pads, which is the actually coachable observation.
Measuring each shot independently makes patterns visible. When the same metric degrades on the same kind of delivery, that is a technical fault rather than a bad day — and it is specific enough to build a drill around.
What gets measured through a shot
Base and balance: how the feet are set and whether weight transfers through the shot or gets stuck.
Trunk rotation: how the upper body turns, and whether it turns in sequence with the hips or fights them.
Head stability: whether the head stays level and moves with the line of the ball through contact rather than falling away from it.
Kinetic sequencing: the order in which segments accelerate. Power comes from a chain firing in the right sequence, and a break in that order shows up as effort producing less than it should; cricket biomechanics from video explains why sequence beats strength.
The phases of a batting shot, and what to measure in each
Biomechanics research breaks a shot into events timed back from impact. In a study of the front-foot drive, Stretch and colleagues (1998) measured the height of the backlift and timed the start of the stride, the start of the downswing and the moment the front foot landed. Splitting a shot this way gives every measurement a moment, so “the head moved” becomes “the head moved during the downswing”. Back-foot shots such as the pull change the footwork: the back foot moves back instead of the front foot forward, as types of shots in cricket explains.
Most of the timing evidence comes from the front-foot drive. In 14 provincial batters filmed at 100 frames per second against medium-fast bowling, the drive’s stride began about 0.58 s before impact, the downswing about 0.36 s before, and the front foot landed only about 0.06 s before the ball was struck (Stretch and colleagues, 1998).
| Phase | What analysis checks | What research found | Source |
|---|---|---|---|
| Stance and trigger | Base width and balance, head position, any preparatory foot movement before the batter commits | Skilled batters were more likely to make a trigger movement before committing forward | Taliep 2007 |
| Backlift | Height and direction of the backlift | Higher for the drive than for the forward defence (0.74 m against 0.65 m, not statistically significant); among 52 female batters, 62–67% used a lateral rather than a straight backlift | Stretch 1998; Patel and Noorbhai 2025 |
| Stride | Length, direction and timing of the front or back foot | Skilled batters started and finished the front-foot stride earlier, and finished it closer to the start of the downswing | Weissensteiner 2011 |
| Downswing | Hip–shoulder separation, lead elbow, wrists, and the order in which segments speed up | Pelvis–thorax separation at the start of the downswing, lead-elbow extension and wrist uncocking explained 78% of the variation in bat speed in 20 batters hitting for distance | Peploe 2019 |
| Contact | Head position over the base, where the ball is met relative to the front foot, bat angle | Skilled batters kept the head further forward of the centre of the base; in the drive, contact came about 20 cm behind the front ankle, with the bat closer to vertical than in the forward defence (about 78° against 63°) | Taliep 2007; Stretch 1998 |
Bat sensors, ball tracking, labs and phone video: what each one measures
“Batting analysis” covers tools that measure different things. Decide first whether your question is about the bat, the ball or the body.
Research often combines methods. A 2025 study of 52 female batters paired high-speed video with bat sensors to compare backlift styles with bat speed and impact speed (Patel and Noorbhai, 2025). Pose estimation from ordinary video is also being used to recognise strokes automatically: one study used an open-source pose-estimation library to classify eight shots, from the pull and cut to the flick and sweep (Siddiqui and colleagues, 2023), and a 2026 study from VIT Chennai combined pose estimation with optical flow to classify shots and compare them with professionals’ shots (Rajarajeswari and colleagues, 2026).
Stance, our cricket video analysis app, analyses phone video with pose estimation: it measures the body from uploaded footage, shot by shot. What a single camera can and cannot see is covered in cricket biomechanics from video, how Stance compares with other cricket apps sets body analysis against ball tracking, and how to choose a cricket analysis app explains what each type of tool measures.
| Method | What it measures | What it needs | Trade-off | Source |
|---|---|---|---|---|
| Bat sensor | The bat: bat speed, bat angles and similar swing measures | A sensor fitted to the bat, and a phone app | Measures the bat, not joint angles, so the body has to come from video | General description; Patel and Noorbhai 2025 |
| Ball-tracking app | The ball: usually speed, line, length and movement, often with shot outcomes such as wagon wheels | A phone or tablet on a tripod, usually looking down the pitch with the stumps in frame for calibration | Built around the ball and shot outcomes; joint angles, head movement and sequencing are not usually the focus, so check whether yours reports them | General description |
| Marker-based lab | The whole body in 3D: joint angles, segment rotations and the order in which they happen | Markers on the body and several synchronised cameras, in a lab | A lab booking rather than your own nets | General description; cricket biomechanics from video |
| Phone video with pose estimation | The body: joint positions in every frame, from which base, trunk rotation, head movement and sequencing are derived | One phone, filmed side-on or semi-side-on, held still | Measures movement toward the lens and hidden joints less well | Stance (ours); cricket biomechanics from video |
How to film your batting for analysis
- Pick the angle for the question. Square of the pitch, side-on, is best for the stride, front knee and bat angle; from in front, through the net, is best for whether the head falls across the line. For Stance, film semi-side-on from a squarish angle with the stumps in frame. Our filming guide shows the set-up for each clip.
- Film at 60 fps or faster. In the drive the front foot lands about 0.06 s before impact (Stretch and colleagues, 1998): under two frames at 30 fps, about four at 60 fps and about seven at 120 fps. Two drive studies analysed footage at 100 and 125 frames per second (Stretch and colleagues, 1998; Stuelcken, Portus and Mason, 2005).
- Keep the camera still and the whole batter in frame. A fixed surface beats a steady hand. A front arm or back leg hidden behind the body has to be inferred rather than measured.
- Face real bowling when you can. Young batters timed the drive differently against a bowling machine than against a bowler of the same pace (Pinder, Renshaw and Davids, 2009), so a machine-only session describes your machine technique.
- Record several of the same shot and compare like with like. Mark each shot, put the camera in the same place every session, and judge drives against drives rather than against pulls.
Reading the output without over-reading it
A single value on a single shot is noise. Three shots showing the same deviation is a signal. Technique analysis is most useful read as a trend across sessions rather than a verdict on one afternoon.
It is also worth distinguishing metrics that describe a choice from metrics that describe a fault. A wider base is not automatically wrong; it is wrong if it stops you transferring weight. Numbers narrow where to look, they do not replace the judgement about what to change.
Head position: the first thing to check
If you check one thing first, check what the head does. Batting is a timing problem before it is a power problem, and the head carries the eyes that supply the timing. A head that moves late, drops, or falls away from the line of the ball degrades the information the whole shot is being built on.
The useful measurement is not only where the head is but how it moves between the bowler releasing and the ball being struck. Stability across that window is what lets a batter track the ball onto the bat. It is measurable frame by frame from ordinary footage, and it is one of the more reliable things a single camera can report, because head movement happens mostly across the camera plane rather than toward the lens.
It can also explain a fault attributed to something else. A batter told they are playing across the line frequently turns out to have a head that has already fallen leg-side before the front foot moves, in which case the bat path is a symptom rather than the cause.
Research supports watching the head, though not a simple keep-it-still rule. Eye and head tracking of two of the world’s best batters found that they turned the head in step with the ball, keeping the ball in a consistent direction relative to the head (Mann, Spratford and Abernethy, 2013). In a lab study of shadow drives, skilled batters kept the head further forward of the centre of their base than less-skilled batters did (Taliep and colleagues, 2007). Both studies are small; the cover drive guide covers them in more detail.
Why one shot tells you almost nothing
A single shot captures one interaction between a specific delivery, a specific decision and whatever state the body happened to be in. Any of those can be unrepresentative, and a good outcome can follow a poor movement just as easily as the reverse.
Repetition is what turns observation into information. Across a set of shots the consistent features separate from the incidental ones: a base that sets the same way every ball is technique, a base that sets differently each ball is noise, and knowing which you are looking at changes what you should work on.
This is why a session is defined as two or more marked shots analysed together rather than a single clip. A one-ball reading is a demonstration; a session is a sample. The same logic governs comparing yourself over time — a session average moves for real reasons, whereas a single-shot figure moves for any reason at all.
Common questions
- What is batting analysis in cricket?
- Measuring how a batter plays each shot so that faults can be found and tracked. Video analysis looks at the body: the base, trunk rotation, head stability and the order in which body segments speed up. Bat sensors measure the bat’s speed and angles, and ball-tracking apps record the ball. Read across several shots and sessions, it shows which faults repeat. In match analysis the term also covers outcomes, such as where a batter scores and how they get out, which ball-tracking apps log as wagon wheels and shot distributions.
- Can batting technique be analysed from a phone video?
- Yes. A pose model locates joints in each frame, and the angles, timings and sequencing are derived from those positions — the same quantities a lab measures, recovered from the image instead of from markers.
- How many shots should I record for useful analysis?
- Enough that a pattern can separate itself from noise. A handful of deliveries shows whether a fault repeats; a single shot cannot, because natural variation between shots is larger than most people expect.
- What is kinetic sequencing in batting?
- The order in which body segments accelerate through a shot. Power is generated by a chain — legs, hips, trunk, arms — firing in sequence. When the order breaks, effort goes in but less of it reaches the ball.
- What is the most useful thing to measure in a batting shot?
- Research does not rank one measurement above all others, but the head is the best place to start: watch what it does between release and contact. Batting is a timing problem before it is a power problem, and a head that drops or falls away from the line of the ball across that window degrades the visual information the shot is built on. Head movement is also one of the more reliable single-camera measurements, because it happens mostly across the camera plane rather than toward the lens.
- What is the best cricket batting analysis app?
- It depends on what you want measured. Bat-sensor apps report bat speed and bat angles. Ball-tracking apps follow the ball and are the better fit if line, length and shot outcomes are your question. Video apps that run pose estimation report the body. Stance, our product, is a web app in the last group: you film with your phone’s own camera and upload in the browser, with nothing to install, and access is by waitlist while it is in closed beta.
- Is there a free cricket batting analysis app?
- Yes, for manual analysis. Free video-analysis software, some of it open source, can slow video down, compare two clips side by side and measure angles, distances and times by hand. Film side-on at 60 fps or more. Automated apps set their own free limits and change them, so check the current listing. Stance is in closed beta, with access by waitlist.
- Can AI analyse my batting technique?
- Yes, within limits. A pose-estimation model finds the joints in each video frame, and angles, timing and sequencing are calculated from those positions; research groups have used the same approach to recognise strokes automatically. One camera measures movement across the frame well and movement toward the lens poorly, so film side-on and compare shots over several sessions.
- What is a batting analysis device?
- One kind is a sensor fitted to the bat, which measures the bat itself, such as bat speed and bat angles, and sends the data to a phone app. A sensor on the bat measures the bat rather than the body, so whether the head moved or the base collapsed has to come from video; some bat-sensor apps record a short clip of each shot for that, and phone-video analysis such as Stance measures the body from the footage.
- What is batting stance analysis?
- A check of the set-up before the ball is bowled: base width, balance, head position and any preparatory ‘trigger’ movement. In one study, 7 of 10 skilled batters made a preparatory foot movement before committing forward, against 2 of 10 less-skilled batters (Taliep and colleagues, 2007).
Sources
- Stretch, Buys, Du Toit & Viljoen (1998) — Kinematics and kinetics of the drive off the front foot in cricket batting, J Sports Sci
- Taliep, Galal & Vaughan (2007) — The position of the head and centre of mass during the front foot off-drive in skilled and less-skilled cricket batsmen, Sports Biomech
- Weissensteiner, Abernethy & Farrow (2011) — Hitting a cricket ball: what components of the interceptive action are most linked to expertise?, Sports Biomech
- Peploe, McErlain-Naylor, Harland & King (2019) — Relationships between technique and bat speed, post-impact ball speed, and carry distance during a range hitting task in cricket, Hum Mov Sci
- Patel & Noorbhai (2025) — Does the backlift also matter in female cricket? A biomechanical investigation among local and international female cricket batters, S Afr J Sports Med
- Siddiqui et al. (2023) — Enhancing cricket performance analysis with human pose estimation and machine learning, Sensors
- Rajarajeswari et al. (2026) — Deep learning based cricket batting shot classification and performance analysis using computer vision, Sci Rep
- Stuelcken, Portus & Mason (2005) — Off-side front foot drives in men’s high performance cricket, Sports Biomech
- Pinder, Renshaw & Davids (2009) — Information-movement coupling in developing cricketers under changing ecological practice constraints, Hum Mov Sci
- Mann, Spratford & Abernethy (2013) — The head tracks and gaze predicts: how the world’s best batters hit a ball, PLoS One
- Stance Cricket — homepage (analyses, camera setup, squad features)