The Best AI Cricket Coach Apps in 2026: An Honest Comparison

Search "AI cricket coach app" and you'll mostly find press releases, GitHub hobby projects, and apps built for professional teams — not for the club or school cricketer trying to get better between coaching sessions. This guide is different: it covers only real, currently available options a player can actually use, compares them fairly, and is honest about what none of them can do.

First, a framing that matters more than any app comparison. The real problem in player development isn't the absence of information — it's what happens between sessions. A player sees their coach once or twice a week, if at all. In between, they're alone with their thinking: why do I collapse against spin in matches when I'm fine in nets? What do I actually change before Saturday? An AI tool earns its place only if it helps in that gap — the days the coach isn't standing next to the player.

The three kinds of "AI cricket coach" tools

Almost everything marketed as AI cricket coaching falls into one of three buckets, and they solve different problems:

Conversational AI companions. Chat-based tools you talk to about your actual game — problems, plans, match situations, mindset. Examples: Gully, and general AI chatbots (ChatGPT, Claude, Gemini) used for cricket.
Computer-vision technique analysis. Point a phone camera at your batting or bowling and get automated technical feedback. Examples: Kabuni, Ludimos, Fulltrack AI.
Pro-team analytics platforms. Tools like CricViz, Catapult and Dartfish, built for coaches, academies and professional setups. Worth knowing they exist — they are not products a player downloads to improve their own game, so they're outside this comparison.

Knowing which bucket you're shopping in prevents most disappointment.

What to actually look for: five honest criteria

Before the comparison, here is what separates tools that help from tools that entertain:

Continuity. Does it remember what you were working on last week? Improvement is a loop (identify → try → report back → adjust). A tool that treats every session as a blank slate gives you tips; a tool that remembers gives you coaching.
Specificity. Is the advice about your game, or could it have been written for anyone? Generic drill lists ("do 20 minutes of shadow batting") are free everywhere. The value is in specificity: your actual technical fault, your actual match situation.
Video. Can it look at your technique, or only talk about technique in general? This is the hardest problem in the space, and the place where marketing claims most often exceed reality.
The follow-up loop. Does the tool check whether what it suggested actually worked? Unverified advice is cheap; verified improvement is the point.
Honesty about limits. No phone app sees what a coach sees, and no AI replaces one. The trustworthy tools say so.

The options, compared

Gully — the between-session AI companion (askgully.com)

Gully is a conversational AI built specifically for cricketers: you talk to it about your actual game — a technical problem, a match situation, a confidence slump, a selection setback — and it works through it with you, remembers what you're working on across sessions, and builds active development loops: try something in the nets, report back, adjust the plan.

Strengths: It's the only option in this list designed around continuity rather than one-off answers. You can describe a real problem in your own words ("I look fine against spin in nets but get stuck in matches — I keep playing inside the line") and get a thinking-through, not a drill list. It remembers across sessions, so the conversation compounds. You can also share a batting or bowling clip for video review when the footage is analyzable — it's honest about when it can't reliably analyze something rather than inventing feedback. Free to start chatting with no signup, on web, iOS and Android; paid tier is Gully Plus.

Limits: It doesn't do automated pose tracking or biomechanical measurement — don't come expecting a 3D model of your action. It's a conversational companion, not a camera-based motion lab. And like everything here, it's not a coach: it works best alongside your coaching, covering the days your coach isn't there.

Best for: Players who want an ongoing thinking partner for their development — the "what do I work on, what did I learn, what's next" loop.

Try it: Start a free chat, no signup — or jump straight into a batting, bowling or confidence conversation.

Kabuni — computer-vision coaching with big names (launched June 2026)

Kabuni launched at its Playtime 2026 event in Mumbai in June 2026, backed by "Super Coaches" Sourav Ganguly, AB de Villiers, Shane Watson and Shreyas Iyer. Its proprietary Kabuni PlayOS analyzes live play through an ordinary smartphone camera — timing, balance, alignment, footwork, sequencing — and gives instant corrective feedback and personalized drills, comparing the player against elite reference data.

Strengths: The most ambitious real-time technique analysis available to a regular player with just a phone. The stated philosophy is right: it positions itself as supporting coaches, not replacing them, and it targets the genuine access problem — quality coaching is scarce outside elite academies.

Limits: It's new (launched mid-2026), India-first with global rollout still pending at launch, and independent evidence of its accuracy claims is thin — most available coverage is launch press, not third-party validation. It's also technique-session oriented: it tells you what your body did, not why you keep getting out the same way in matches.

Best for: Young players who want real-time technical feedback during practice sessions, especially in India.

Ludimos — AI analysis for players, coaches and academies

Ludimos is an established cricket coaching app (iOS and Android, free with in-app purchases). Its AI auto-clips and analyzes batting and bowling from match or net footage, offers biomechanics analysis, tracks batting/bowling/fitness metrics over time on a single player profile, and has coach/academy layers (player profiles, sharing with parents, squad management).

Strengths: The most complete package of the camera-analysis tools: it combines video analysis with longitudinal tracking (real averages, progress over sessions) and it's genuinely built for the player-coach-academy triangle, not just one of them. Its "get seen by coaches/academies" profile feature is a thoughtful touch for ambitious juniors.

Limits: It's a tool around your video, not a conversational coach: it won't talk through the mental side of why your technique falls apart under pressure, or help you plan a development arc. The AI's biomechanical readouts are only as reliable as the footage you feed them — a shaky phone video from a bad angle limits what any computer vision can say.

Best for: Players and coaches who already film sessions and want structured analysis, clipping and progress tracking without manual work.

Fulltrack AI — tripod-and-leave-it ball tracking (Android)

Fulltrack AI takes a different approach: put the phone on a tripod at the start of a session, point it at the play, and leave it alone. Its machine learning auto-detects play-by-play action and generates analytics — ball speed, swing, spin, pitch maps — with the video and data stored in the cloud and shareable with teammates and coaches.

Strengths: The lowest-friction data capture of anything here — zero operator effort during the session. For bowlers especially, automatic speed and pitch-map data across a whole spell is genuinely useful feedback you can't get from a casual video.

Limits: Android-only, and it's measurement, not coaching: it tells you what the ball did, not what to change or why. As with all phone-camera ball tracking, treat "measured" numbers as estimates, not Hawk-Eye — camera position, distance and conditions all affect accuracy.

Best for: Bowlers who want automatic speed/trajectory data from net sessions with minimal setup.

General AI chatbots (ChatGPT, Claude, Gemini) — powerful, free, and not built for this

Most cricketers' first experience of "AI coaching" is asking a general chatbot for help. They're free or cheap, knowledgeable about cricket, and good at explaining concepts and generating practice plans.

Strengths: Broad cricket knowledge, excellent at explanations and brainstorming drills, and the price is hard to beat.

Real limits — and these matter:

No memory by default. Each chat starts fresh; nothing carries forward unless the specific product's memory feature is set up and working, and even then it's shallow compared to a purpose-built development record.
Generic by nature. They're trained to be helpful and agreeable, which means plausible-sounding advice calibrated to the average player — not to your technique, your level, or your history. The classic failure mode: confident-sounding coaching points that were never verified against your game.
Video is the weak point. They can describe what to look for in a batting clip, but frame-level technique analysis from your footage is not their strength — and they won't always admit it.
No follow-up loop. Nobody checks whether the advice worked.

Best for: Quick explanations, brainstorming, understanding a concept. Not as your development partner.

Sensor and hardware tools (str8bat and similar)

Worth a mention for completeness: sensor-based tools like str8bat embed a Bluetooth sensor in the bat to measure swing speed, bat path and sweet-spot contact in real time. They answer the measurement question genuinely well — this is real data, not estimates.

Limit: It requires buying hardware, and it measures the bat, not the batter: swing speed numbers don't tell you why you keep playing across the line.

Side-by-side comparison

	Gully	Kabuni	Ludimos	Fulltrack AI	General chatbots
What it is	Conversational AI cricket companion	Phone camera → real-time technique analysis	AI video analysis + progress tracking	Automatic ball tracking from a tripod	General AI, used for cricket
Continuity across sessions	Strong — remembers what you're working on	Limited — session-based feedback	Moderate — metrics tracked over time	Weak — data logs, not development	Weak — starts fresh each chat
Your actual game, not generic tips	Strong — built around your described problems	Moderate — technique-focused	Moderate — your video, structured insights	Moderate — your data	Weak — generic by default
Video analysis	Yes, when the clip is analyzable (honest when it's not)	Real-time technique analysis	AI clipping + biomechanics	Ball tracking (speed/spin/pitch maps)	Weak
Follow-up loop	Try → report back → adapt	Practice → instant feedback	Track progress over sessions	Session data comparison	None
Mental side of the game	Yes — confidence, selection, mindset	No	No	No	Superficial
Cost	Free to start, then Gully Plus	Check current availability/pricing	Free with in-app purchases	Free app (check current pricing)	Free / freemium
Honest about limits	Yes — no pose tracking claims, not a coach replacement	Says it supports coaches, not replaces	Reasonable	Measurement, not coaching	Often overconfident — verify everything

Which one should you choose?

It depends on the problem you're actually trying to solve:

"I keep making the same mistakes in matches and I don't know what to change." You need thinking, not measuring. Try Gully's performance or situations chat — describe the actual problem and work through it.
"I want to know what my technique is actually doing." Film it well and use Kabuni or Ludimos. Good footage in, useful analysis out; bad footage in, noise out.
"I'm a bowler and I want my speeds and lengths tracked automatically." Fulltrack AI's tripod approach is the lowest-effort way to get that data.
"I'm a parent trying to understand my child's development." Start with Gully's parents or junior-parents topics — or Ludimos's parent-sharing features if video analysis is what you want.
"I just need a drill for tomorrow's net." A general chatbot is fine for that. Don't mistake it for coaching.

And the honest combination answer: the tools don't compete on every dimension. A camera-analysis tool measures what your body does; a conversational companion helps you figure out what to do about it. Many players will get more from pairing one of each than from picking one "winner."

The question nobody in this space asks enough

Almost every AI cricket tool optimizes for the session — what happened in these 60 minutes. But development happens between sessions: what you took away, what you tried, what happened, what you keep or change. That's the part no camera captures and no drill list covers. Whatever tool you choose, judge it on whether it makes that loop tighter — because that's where players actually improve.

FAQ

Is there an AI cricket coach app?

Yes, several, but they do different things. Gully is a conversational AI companion for cricketers; Kabuni and Ludimos analyze your technique from video; Fulltrack AI auto-tracks bowling from a tripod; str8bat measures your bat with a sensor. There is no single app that does everything — match the tool to your actual problem.

Can AI analyze my batting or bowling video?

Increasingly yes, with caveats. Kabuni and Ludimos use computer vision to analyze technique from phone footage; Gully reviews clips conversationally when the footage is analyzable (and says so when it isn't). Accuracy depends heavily on footage quality — stable camera, good angle, clear view of the player. Treat ball-speed numbers from any phone app as estimates, not precision measurements.

Can ChatGPT coach cricket?

It can explain cricket well and generate practice ideas, but it's a poor coach: no memory of your development, generic advice calibrated to the average player, weak video analysis, and no follow-up on whether anything worked. Useful for understanding a concept; not a substitute for an ongoing coaching relationship — human or AI.

Can an AI cricket coach replace my human coach?

No — and distrust any tool that implies otherwise. A coach sees things no camera or chat captures: how you carry yourself, how you respond under pressure, what your game actually needs at your level. The honest framing, and Gully's, is the between-session layer: the thinking and development work that happens on the days your coach isn't standing next to you.

Is Gully free?

Yes to start — you can start chatting free with no signup. The free tier is quota-bounded; heavier use moves to Gully Plus.

Which AI cricket coach app is best for beginners?

Beginners benefit most from understanding and structure, not measurement — so a conversational tool is the better start. Get clear on what you're working on and why before investing in sensors or camera setups. Try askgully.com or the improvement topic chat.

What about apps for cricket coaches and academies?

Ludimos's Pavilion tier is built for squads and academies (player profiles, benchmarks, selection evidence). Pro-team analytics (CricViz, Catapult, Dartfish) serve professional setups, not individual players. This article focuses on tools a player can use directly.

The short version

Best conversational AI cricket companion: Gully — continuity, specificity, and an honest follow-up loop.
Best real-time technique analysis from a phone: Kabuni (new, India-first) or Ludimos (established, broader toolset).
Best automatic bowling data: Fulltrack AI.
Best free general-purpose option: ChatGPT/Claude/Gemini — for explanations, not coaching.
Most important thing to check before choosing: whether the tool remembers, whether it works on your game, and whether it's honest about what it can't do.

If the problem you're solving lives between coaching sessions — what to work on, what you tried, what happened, what changes — start a free conversation. No signup, and you'll know within minutes whether it's useful for your game.