Cricket Video Analysis Apps: What Can AI Actually Tell You?

Film your batting or bowling on a phone, and AI promises to tell you everything: your head position, your front-foot stride, your bowling speed, even the drills to fix it all. Some of those claims are genuine. Some are fiction dressed up in lab coats.

This is an honest guide — written by people who actually review cricket video for a living — to what a cricket video analysis app can really do today, what's marketing, and how to get useful feedback from a phone clip.

What AI video analysis can actually do today

Let's start with the good news. Modern tools are genuinely useful for these things:

Positions at key moments. The most reliable thing any video tool can do is freeze the frame at the moments that matter: back-foot landing, front-foot contact, ball release for a bowler; backlift top, downswing, ball contact for a batter. Positions you can see with your own eyes — a video app just makes them easier to stop, zoom, and compare.

Observable patterns across balls. Watch six deliveries side by side and patterns jump out: your head falls to the off side on every front-foot drive; your front foot lands pointing to extra cover on every ball. AI and slow-motion tools are good at surfacing repetition — the things you do every ball but never notice at full speed.

Shot and action classification. Machine-learning models can now recognise whether you played a cover drive or a pull, or whether a delivery was a bouncer or a yorker-length ball, with reasonable accuracy from a short clip. This is classification, not measurement — it labels what happened rather than quantifying it precisely.

Side-by-side comparison. Comparing your action this month to last month, or to a reference clip, is one of the most valuable uses of video analysis. You don't need AI for this — but good apps make it easy.

What it can't do (yet)

Here's where the honesty matters, because this is where marketing usually overreaches:

Precise joint angles from a single phone camera. Some apps claim to measure your elbow angle, knee flexion, or shoulder rotation to the degree. From one uncalibrated phone camera, these numbers are estimates with wide error bars — parallax, lens distortion, and the fact that a 2D image flattens 3D movement all introduce error. True biomechanical measurement needs calibrated, synchronised multi-camera setups — the kind used in labs and elite academies, not a phone on a tripod.

Reliable ball speed without radar. Several apps claim to calculate bowling speed from video alone. The honest ones tell you they need careful calibration: a known pitch distance, exact frame rate, and marked release and arrival frames. From an uncalibrated phone clip, "AI-measured" ball speed is a guess. If speed matters to you, a radar gun or a properly calibrated tool is the real answer.

Ball trajectory and swing/seam measurement. Tracking a small white or red ball at 120+ km/h through a phone camera is genuinely hard — motion blur, compression artefacts, and background clutter all fight against it. Claims of precise swing or seam analysis from casual phone footage should be treated with scepticism.

The short version: a phone clip reliably shows positions and patterns. It does not reliably produce lab-grade measurements. Any app selling you the second while only having the first is overselling.

The real landscape: what cricket video analysis tools actually exist

There's no single dominant "cricket video analysis app" in the way there's a dominant messaging app. Instead there are categories:

General slow-motion analysis apps. Tools like Coach's Eye (now discontinued, but the template for the category) and its successors such as Technique Pro let you film in slow motion, scrub frame by frame, draw lines and angles on the footage, and compare two clips side by side. Many cricket coaches use these as their daily tool — the app doesn't tell you what's wrong, but it makes what happened undeniable. That distinction matters: the coaching intelligence still comes from a human (or, now, from an AI assistant reviewing the footage).

Professional cricket systems. PitchVision's PV/ONE is the established name here — a hardware-plus-software setup used by academies and high-performance centres, with sensor-triggered cameras and structured reports. It genuinely produces data (speeds, lines, lengths), but it's an academy investment, not a phone app. This is the tier where "measured, not estimated" actually holds.

Cricket-specific mobile apps. SmartCricket (on Google Play) offers slow-motion recording with auto-trimmed clips and side-by-side video comparison, plus a sensor-based analytics layer. Various coaching apps — including ones built by former professional cricketers — offer video review with coach feedback. These sit between the general tools and the pro systems: more cricket-aware than Coach's Eye, less instrumented than PitchVision.

Hobby and open-source projects. Search GitHub and you'll find a wave of student and developer projects: shot classifiers, pose-estimation demos, even third-umpire decision simulators built with YOLO and MediaPipe. Interesting as experiments — not products you can rely on for your development.

AI cricket companions (where Gully fits). The newest category doesn't try to replace the coach's eye or the lab. Instead, you send a clip of your batting or bowling and get a cricket conversation about what it shows — what's working, what to try next, and follow-up across sessions as you work on it. That's what Gully does: video review when the clip can be reliably analysed, inside an ongoing development relationship rather than a one-off report.

How to film a useful clip

Most "bad analysis" is actually bad footage. Whatever tool you use, this is what makes a clip analysable:

Angle matters more than anything.

Batting: film from side-on (perpendicular to the crease, from the off side for a right-hander) for backlift, downswing, and head position. Add a front-on angle for alignment and balance. Never film from directly behind the bowler's arm — it flattens everything.
Bowling: side-on for the full action (run-up through follow-through), plus front-on for alignment and a behind-the-arm view for release and seam position.

Frame rate. 60fps is the minimum for anything useful; 120fps or 240fps slow-motion is dramatically better for release and contact moments. A blurry 30fps clip of a fast bowler is nearly worthless — the ball and the arm are smears.

What to capture. Three to six consecutive balls minimum — one ball tells you what happened, several tell you what's habitual. Include the full movement: start recording before the run-up or stance, stop after the follow-through. And keep the phone still: prop it on a bag, a tripod, or a fence. Handheld wobble ruins frame-by-frame work.

Distance and framing. Close enough to see the body clearly, far enough to keep the whole action in frame. For bowling, that usually means 15–20 metres side-on. Check the first clip before filming a full session.

What good feedback looks like

Whether it comes from an app, an AI, or a coach, good video feedback has a recognisable shape. Here's what to expect — with real examples:

Specific and observable. "Your head is falling toward the off side at the point of contact on your front-foot drives" — you can see this in a frozen frame. Compare with: "your weight transfer efficiency is 62%" — a number with no visible referent and no stated baseline.

Tied to an outcome you care about. Good: "Your front foot is landing pointing toward extra cover, which opens your hips early — that's consistent with the inswinger beating your inside edge, because your bat comes down across the line." The technical observation connects to the runs/wickets problem you actually have.

One thing, not twelve. A clip might reveal five technical points. Good feedback picks the one that unlocks the others — usually the earliest thing in the sequence, since everything downstream compensates for it.

Followed by a what-next. Observation without a drill, a cue, or a check-in is trivia. The value of video analysis isn't the analysis — it's what changes in the nets next week, and whether someone (or something) follows up to see if it worked.

Red flags in app marketing claims

Use this checklist before trusting — or paying for — any cricket video analysis app:

"Measures your bowling speed" with no mention of calibration. Speed from video requires known distances and frame rates. No calibration step, no trustworthy number.
Degree-precise joint angles from a phone. Single-camera pose estimation is an estimate, not a measurement. Honest tools say so.
"AI coach" that gives the same five drills to everyone. If the feedback doesn't reference your clip specifically, it's a template with your name on it.
Before/after claims with no timeline. "Fixed his action in two weeks" means nothing without knowing what changed, how it was measured, and whether it held up in matches.
No acknowledgement of uncertainty. The honest tools tell you what they can't see. The dishonest ones never mention limits.
"Replace your coach" framing. Video analysis is a between-session tool. Anyone claiming it replaces coaching is selling software, not development.

Where Gully fits in

Gully doesn't do automatic biomechanical tracking, and we don't claim to measure ball speed or joint angles from your clip — because from a phone video, those numbers wouldn't be honest.

What Gully does: you send a clip of your batting or bowling, and when it can be reliably analysed, you get a genuine cricket conversation about it — what's actually happening in your technique, what to try next, and follow-up across sessions as you work on it. The clip is the starting point of a development loop, not a PDF report.

Working on your bowling action? Start at askgully.com/bowling.
Working on your batting? Start at askgully.com/batting.
Or just start chatting free — no signup required — and send a clip when you're ready.

FAQ

Can AI analyse my cricket technique from a video?

Partially. AI and video tools can reliably show positions at key moments (head position at contact, foot placement at release) and patterns across multiple balls. They can't reliably produce lab-grade measurements — precise joint angles, ball speed, or trajectory — from an uncalibrated phone clip. Treat measurement claims with scepticism unless the tool explains its calibration.

What's the best app for cricket video analysis?

It depends on what you need. General slow-motion apps (like Technique Pro) are the most widely used by coaches for frame-by-frame review. Pro systems like PitchVision produce real measured data but are academy-level investments. Cricket-specific apps like SmartCricket add cricket-aware features to phone recording. And AI companions like Gully review your clip inside an ongoing coaching conversation. There's no single best — there's the right tool for the question you're asking.

How do I record my bowling action for analysis?

Film side-on from 15–20 metres at 120fps or higher, capturing three to six consecutive balls from run-up through follow-through. Add a front-on angle for alignment. Keep the phone still — prop it on something — and check the first clip before filming a full session.

Can a phone app measure my bowling speed?

Only with careful calibration: a known pitch distance, exact frame rate, and marked release and arrival frames. Apps that claim speed from an uncalibrated clip are estimating, not measuring. For trustworthy numbers, use a radar gun or a properly calibrated system.

Is video analysis worth it for club cricketers?

Yes — if the footage is good and the feedback is specific. Side-on slow-motion video of your own action, reviewed with one clear technical focus and a drill to take to nets, is one of the highest-value things a club cricketer can do between sessions. The expensive part was never the camera; it's knowing what to look at.

Gully is the between-session development layer for cricketers — cricket conversations, video review, and continuity across sessions. Start chatting free, no signup required.