How Poker Players Use ChatGPT to Find Leaks, Exploit Opponents & Win More

Solvers show you what’s theoretically optimal. Trackers show you what happened. But AI models—like ChatGPT—connect the two, helping you analyze your poker stats, spot leaks, and exploit tendencies in real time. 

Here’s how to use it for opponent profiling and in-depth leak detection.

You can play 100,000 hands and still miss your biggest leaks—unless you know where to look.

Poker tracking tools like Smarthand.pro or Hand2Note provide every stat imaginable. But knowing your VPIP or c-bet percentage is only half the battle—interpreting them in context is where real edge comes from.

This is where ChatGPT helps. By analyzing poker stats with AI, it can detect imbalances in your preflop and postflop strategy, benchmark your positional data against population or GTO standards, and highlight leaks like overfolding, passive lines, or overly loose cold calls.

To demonstrate real-world application, we ran a full ChatGPT-powered leak analysis on a high-volume NL50 regular using Smarthand stats. Despite an impressive 10.3 bb/100 winrate over 88,000 hands, ChatGPT still uncovered exploitable patterns.

Below is the unedited output—ChatGPT’s direct analysis based on those raw stats. It shows how AI interprets poker data and turns it into practical exploit strategies.

This is a high-volume, high-aggression regular who operates on the border between TAG and LAG. Their winrate is elite, indicating well-tuned fundamentals and efficient aggression. However, there are specific leaks—particularly in their WWSF, cold calling frequencies, and response to aggression—that offer meaningful opportunities for exploitation.

✅ Strengths:

• RFI BTN: 47.8%, SB: 55.7% — solid steal frequencies close to solver-approved ranges.
• 3Bet BTN vs CO: ~9%, SB vs BTN: 13.1% — aggressive in key spots, denies equity well.
• Cold 4Bet: 3.9% — unusually high, showing willingness to bluff preflop.
• Squeeze: 9.2% — applies consistent pressure vs weak ranges.

❌ Weaknesses:

• Cold Call IP: 22.9% — far too high for today's standards, likely includes weak suited hands or small pairs.
• CO/BTN/SB Limp: 15.2% total — unnecessary limping suggests range-mixing or weak-passive tendencies.
• BTN Fold to 3Bet: 47.6% — too high, ideal for light 3-bet exploitation.
• Fold to 4Bet (overall): 47.7% — again, too high. A well-constructed light 4-bet range could print.

✅ Strengths:

• Flop AFq OOP: 51% — continues aggression even when out of position.
• Turn AFq: 30%, River AFq: 27.5% — decent follow-through, not overly passive on late streets.
• WTSD: 31.9% with 54% W$SD — strong showdown performance, suggesting good discipline and equity realization.

❌ Weaknesses:

• WWSF: 44.5% — below average for a winning reg (elite is 46–49%).

Likely gives up too often on non-showdown lines.

• River AFq: 27.5% — low, indicates potential overfolding to river barrels.
• Cold Call OOP: 5.5% — possibly too wide and unprofitable; this is a bad place to defend.
• Fold to 5Bet: 33–50% depending on spot — some 5-bet bluff shoves could go uncalled.

1. Preflop Exploit: Loose Coldcalling

• Coldcall total: 16.6% – this is a major leak, especially if not compensated by strong postflop play.
• Action: Isolate wide, especially from CO and BTN, where you can apply pressure with position.
• C-bet heavy strategy works well, as postflop aggression frequencies are low.

2. CO and SB Fold Too Much to 3-Bets – Attack with Wider Ranges

• CO fold to 3-bet: 53.3%, SB fold to 3-bet: 63%
• Action: Widen your 3-bet range versus CO and SB, especially if you can play comfortably postflop.
• Exploit CO: Use light value + bluff 3-bets with hands like Axs, KQo, 76s.
• SB RFI: 47.8% – extremely wide, includes many weak hands.
• Action: 3-bet from BB frequently vs SB opens. SB folds over 63% to 3-bets → solid fold equity.
• Postflop, SB’s OOP position and low aggression make it easy to apply pressure and realize equity.

3. Over-Aggressive 3-Bets from BB (13.2%) – Likely Polarized

• Likely 3-betting weak hands from BB too often.

• Action:

  • Trap: Just flat with strong hands (JJ, QQ, AK) in CO/BTN. Let them bluff postflop, then raise turn or river.

  • Light 4-bets: Occasionally bluff vs polar range. Use small sizing (21–22bb) to make it cheap.

• BB fold to 4-bet: only 35.7% → doesn’t fold enough.

  • Exploit: Use value-heavy 4-bet ranges. Don’t bluff often if fold equity is low.

4. Postflop Passivity – Pressure and Thin Value Bets

• AFq Flop: 30.5, Turn: 30, River: 27.5 – extremely low, especially with a wide preflop range.
• Indicates very few bluffs, few raises, limited floating.

🔧 Strategic Adjustments:

• Triple-barrel bluffs work well, especially when board texture favors your range. Low hero call frequency expected.
• Thin value bets on turn/river with hands like Kx, Qx. They check-call weak holdings too often.
• Delayed c-bets are effective – villain rarely raises or floats.
• Occasional river overbets can work – they likely misread spots and overfold.

5. Low WWSF (44.5%) – Too Many Pots Given Up

• Doesn’t fight for pots when they miss the board.

Action:

• Float more IP, then apply pressure on turn (second barrel or raise).
• Use larger flop c-bets (2/3+ sizing) – villain rarely check-raises and often gives up.

6. High SB Squeeze (13.1%) – Likely Bluff-Heavy

• SB squeeze %: 13.1% – clear leak.

Action:

• Trap from CO/BTN – flat with strong hands instead of 4-betting.
• Small 4-bets IP can be profitable: SB fold to 4-bet: 50.5% → borderline, but works if they’re squeezing light.

Despite a strong winrate and well-balanced aggression, this player exhibits several clear tendencies:

• Overfolding to preflop aggression (4-bets and 5-bets)
• Over-defending weak ranges in-position preflop
• Low WWSF and river aggression

A smart, attentive player can turn these edges into tangible EV gains—particularly through light preflop re-aggression and postflop pressure on rivers and missed barrels.

Although the AI's phrasing can be a bit odd at times and it may occasionally misinterpret a stat—something to keep an eye on—it still does an excellent job overall. This example shows how tools like ChatGPT can help build a nuanced profile of even successful regulars—and uncover cracks beneath the surface.

At times, ChatGPT’s analysis may contain apparent contradictions—like encouraging light 4-bets against a wide BB 3-bet range, only to then warn against bluffing due to a low fold-to-4-bet rate. These are not necessarily flaws but cues to dig deeper. Asking clarifying questions or prompting the AI to refine its logic can often lead to sharper, more consistent strategies.

What's more, "thinking together" with ChatGPT when exploring exploitative lines can surface ideas that might not come to mind otherwise. Even if adjustments are needed, the suggestions often serve as useful springboards for developing effective plans.

ChatGPT isn’t perfect—but as a strategic partner, it’s already surprisingly capable.

Note: This is unedited ChatGPT output based on Smarthand HUD stats.
To go even deeper, try follow-up prompts like “How should I adjust against this player type postflop?”—they can reveal valuable strategic layers.

You don’t need to be a stats expert. You can simply prompt ChatGPT with something like:

“Can you build a full player profile based on my stats, identify leaks, and suggest an exploitative strategy?”

📋 Example Prompt:

I’ve played 87.8k hands at NL25. These are my positional stats:
VPIP: 29.3 | PFR: 21.7 | 3Bet: 8.25 | WTSD: 31.9 | WWSF: 44.5 | W$SD: 54
Fold to 3Bet (as BTN): 47.6 | Fold to 4Bet: 47.7 | Cold Call IP: 22.9
Flop AFq (OOP): 51.1 | Turn AFq: 30 | River AFq: 27.5
SB 3Bet vs BTN open: 13.1 | Cold 4Bet: 3.9 | Squeeze: 9.2

🎯 What ChatGPT Will Return:

• A complete player profile (e.g., TAG, LAG, passive regular)
• A breakdown of key strengths and potential leaks in your game
• Practical, data-driven adjustments to improve your winrate
• Exploit opportunities — insights into how opponents might exploit the tendencies revealed in your own stats

AI tools like ChatGPT aren’t here to replace solvers — they’re here to unlock what solvers can’t do alone. While GTO engines show you what’s theoretically optimal, ChatGPT helps you interpret real-world stats, spot practical leaks, and adapt your strategy dynamically.

With just your HUD data and the right prompts, you can:

• Identify your biggest leaks in minutes
• Profile opponents using frequency-based insights
• Build exploitative strategies tailored to your actual games

📢 Found this useful? Share it with your study group or favorite poker forum — and help others plug their leaks too.

Yes. It can interpret core stats such as VPIP, PFR, 3Bet, WWSF, and aggression frequencies—and turn them into actionable strategy insights for both you and your opponents.

Absolutely. While solvers focus on GTO theory, ChatGPT helps detect real leaks by analyzing tendencies and frequencies in your actual gameplay data.

Most tools just point to stats. ChatGPT goes further: it explains why a stat matters, what it says about your play, and how to fix or exploit it—like having a strategic coach.

Yes. Provide your opponent’s stats or known behaviors, and ChatGPT can suggest exploitative adjustments tailored to their leaks.

Ideally, 30,000–50,000+ hands. For more accurate profiling, especially postflop behavior and rare spots (like 5-bet pots), 80,000+ hands gives the best results.

Not entirely—but it can simulate strategic thinking, provide data-driven feedback 24/7, and help you study much more efficiently between coaching sessions.

Yes, but with limitations. You'll need to manually describe tendencies, e.g., “villain limps CO often, folds to flop raises,” etc. ChatGPT can still build profiles and suggest exploits from patterns.

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