Poker Solver Guide
How to Use GTO Solvers in 2026

Poker solvers have transformed how the game is studied. What once took a decade of live experience to understand — balanced ranges, correct bet sizing, optimal bluff frequencies — can now be computed in seconds. In 2026, every serious cash game and tournament player uses a solver. This guide explains exactly what solvers are, which one to choose, how to build a simulation from scratch, how to read the output, and how to avoid the traps that waste most beginners' study time.

🧠 What Is a Poker Solver?

A poker solver is an equilibrium calculator. You feed it a poker scenario — the two players' starting ranges, the bet sizes each player is allowed to use, and the board texture — and the software runs thousands of iterations of a numerical algorithm (usually counterfactual regret minimization, or CFR) until it finds a strategy where neither player can improve their expected value by changing their approach. This is the Nash equilibrium, also called the GTO (Game Theory Optimal) solution.

The result is not a single action like "always bet here." It is a frequency distribution. For every hand in your range on every board, the solver tells you: bet 75% of the pot 43% of the time, check 57% of the time. These mixed strategies are what make the solution unexploitable — an opponent who knows your exact strategy still cannot gain an edge against you.

Crucially, solvers are study tools, not real-time assistants. Using one at the table is cheating (real-time assistance, or RTA) and banned on every legitimate poker platform including PlasmaPoker, which runs automated GTO detection to catch RTA patterns. The goal is to study solver output between sessions until the patterns become intuition that you apply naturally at the table.

🏆 The Best Poker Solvers in 2026

The solver market has matured considerably. Five tools dominate, each with a distinct niche. Here is what you need to know about each one before spending any money.

PioSolver

PioSolver is the industry standard for No-Limit Hold'em cash game study. It runs locally on your machine, which means solve times are determined by your CPU and RAM — a modern 8-core processor can solve most river spots in under a minute. PioSolver's tree customization is unmatched: you can define asymmetric bet sizes, node-lock specific strategies to simulate exploitative opponents, and aggregate results across many boards simultaneously using PioSolver Edge. The one-time $249 price for the full version feels steep at first but pays for itself quickly. The free version (PioSolver Basic) solves trees but caps node count, which is fine for postflop spots but limiting for full-game trees.

GTO Wizard

GTO Wizard has become the most popular solver in 2026 — not because it is the most powerful, but because it is the most accessible. It runs entirely in the browser with precomputed solutions for thousands of common spots, so there is zero wait time for standard scenarios. The trainer mode lets you practice a spot repeatedly with the solver grading each decision and explaining deviations. At $89/month it is expensive for casual players, but the learning curve is the gentlest of any solver on the market. GTO Wizard also covers MTT scenarios and PKO-specific spots, which most desktop solvers handle poorly.

GTO+ (GTO Plus)

GTO+ offers the best price-to-performance ratio in the market at $75 one-time. It covers both NLHE and PLO4, solves locally with speed comparable to PioSolver on equivalent hardware, and has an intuitive interface that is friendlier to beginners than PioSolver's. The range visualization tools are excellent, and the built-in database of precomputed solutions for common spots means you can start learning immediately without waiting for solves. If you are new to solvers and reluctant to spend $249, GTO+ is the right starting point.

MonkerSolver

MonkerSolver is the solver of choice for PLO players and anyone who needs multiway pot analysis. NLHE solvers model heads-up scenarios well but struggle with three-way and four-way trees due to exponential complexity growth. MonkerSolver handles these scenarios better than any competitor and is the only solver that solves PLO5, PLO6, and PLO7 trees — both game types that PlasmaPoker offers. At $350 it targets professional players, and the interface is less polished than PioSolver or GTO Wizard. But for PLO or multiway NLHE study, there is no credible alternative.

Simple Postflop

Simple Postflop offers a free tier that covers basic postflop trees with limited node counts, and paid tiers up to $149 for full functionality including preflop solving. It is slower than PioSolver on equivalent hardware and the interface is less refined, but the free version is a legitimate starting point for players who want to understand solver concepts before committing financially. It runs on Windows, macOS, and Linux — broader platform support than most competitors.

📊 Solver Comparison Table

⚙️ How to Set Up a Basic Solver Simulation

Walking through an actual setup demystifies what solvers do. We will use a common scenario: Button opens, Big Blind defends, and we are solving a postflop spot. The same principles apply in any solver.

Step 1 — Define Your Ranges

Input the hand range each player enters the flop with. For a BTN open vs BB defend in a single-raised pot, the BTN range is a wide linear opening range (roughly top 45-50% of hands) and the BB range is the calling range against a single raise (roughly 35-40% of hands after folding some weak combos). You can import hand ranges from GTO preflop charts or use range presets built into most solvers. Accuracy here matters enormously — garbage in, garbage out. Inaccurate ranges produce solutions that do not reflect real spots.

Step 2 — Build the Bet Size Tree

Choose the bet sizes each player is allowed to use. A realistic NLHE tree for a BTN vs BB spot might include: OOP (BB) can bet 33% or 75% of pot, IP (BTN) can bet 25%, 50%, or pot-sized, and either player can raise or go all-in. Adding more bet sizes creates a more realistic solution but increases compute time exponentially. For most study purposes, 2-3 bet sizes per player is sufficient. Beginners should start with one bet size per player — it makes the output much easier to understand.

Step 3 — Choose the Board

Enter the flop, turn, and river cards. For flop study, set a specific board (e.g. A♠ 7♦ 2♣). For broader pattern recognition, use solver aggregation tools (PioSolver Edge, GTO Wizard's range explorer) to study a category of boards — all ace-high boards, all connected low boards, all paired boards — and identify how strategy changes across textures.

Step 4 — Set Accuracy and Solve

Most solvers let you choose a target accuracy (exploitability in big blinds per 100 hands). A setting of 0.3 bb/100 is precise enough for study purposes and solves in 30-90 seconds on modern hardware. Setting it to 0.01 bb/100 takes much longer with diminishing returns. Hit solve and wait.

📈 How to Read Solver Output

The solved output initially looks overwhelming. Here is how to interpret the three most important elements.

A productive study session workflow: pick a specific hand category (e.g. "top pair weak kicker on A-7-2 rainbow"), look at the solver's recommended strategy across all three streets, then ask yourself "why?" Work backward from the river. River decisions are mostly about value-to-bluff ratios and pot odds. Turn decisions are about protecting your range and setting up river bets. Flop decisions set the tone for which hands you want in which parts of your range by the river.

⚠️ Common Solver Mistakes Beginners Make

Most players who buy a solver see little improvement in their game. Almost always it is because of one of these five mistakes.

🎯 How Solver Study Translates to Real Play

The gap between solver output and table application is where most players get lost. The solver gives you exact frequencies for every hand in every situation. At the table, you cannot recall those frequencies — and against opponents making mistakes, you should not try to.

What solver study actually gives you are heuristics — high-level rules that approximate the solver without requiring perfect memory. After studying ace-high boards extensively, you internalize rules like: "On A-7-2 rainbow in a SRP, the BTN's betting range is weighted toward nut advantage (AA, AK, AQ, A7s, A2s) plus backdoor equity hands; the BB check-raises with two pair and sets but not top pair." These patterns transfer to every ace-high board you encounter.

The most effective bridge from study to play is simplification. Reduce mixed strategies into clear categories: "I always bet this type of hand, I always check this type, and I mix this category based on stack depth or reads." Most winning players operate with 80% pure strategies and 20% mixing. That is enough to be essentially unexploitable at most stakes while remaining tractable to execute under time pressure.

🚫 Limitations of Solvers

Solvers are extraordinarily powerful, but they operate under assumptions that do not hold in most real-world games. Understanding these limitations prevents you from over-applying solver solutions in situations where they mislead you.

They assume both players play GTO preflop. If your solver assumes the BB defends 35% of hands but your actual opponent defends 55% with a capped range, the postflop solution is solving the wrong game. Against opponents with dramatically different preflop tendencies than the solver assumes, the postflop solutions can actively mislead you.

They solve heads-up. Multiway pots introduce fundamental complexity that most solvers cannot handle well. When three players see a flop, both opponents' ranges interact, which changes everything about correct strategy. MonkerSolver handles this better than others, but even it is an approximation. In practice, multiway spots require more conservative, value-oriented play than solver heads-up solutions suggest.

They do not account for live reads, timing tells, or population tendencies. Solvers find the perfect strategy against an opponent who is also playing GTO. Against real opponents with genuine tendencies — someone who never folds to turn bets, someone who always has the nuts when they raise the river — exploitative adjustments outperform the balanced solver line. The solver is the baseline you deviate from, not a rigid rulebook.

They assume rake-free play. Most solvers do not account for rake by default. In raked games, the break-even point for thin value bets and marginal calls shifts. At micro and small stakes where rake is a high percentage of the pot, solver solutions are less accurate than at mid-stakes where rake is a smaller fraction. Some advanced users configure rake-aware trees, but this adds significant setup complexity.

⚡ Export Hands from PlasmaPoker for Solver Study

The best solver study uses your own hands from your own sessions — not textbook examples. When you review a spot where you felt uncertain, the solver can tell you exactly what you should have done and how far off you were in EV terms. This direct feedback loop accelerates improvement faster than any preset scenario library.

PlasmaPoker exports PokerStars-compatible hand histories for free. Every hand you play — cash games, Rush Poker, tournaments — is logged and available for download in the standard .txt format that every major solver recognizes. Open them directly in PioSolver, GTO Wizard's hand import, GTO+, or any other tool without conversion.

This combination — free hand history export, a built-in HUD tracking the stats that solvers care about, PLO5, PLO6, and PLO7 support (the two game types that MonkerSolver users study most), and provably fair SHA-256 hand verification — makes PlasmaPoker the ideal platform for solver-driven players who want to combine study with play in one ecosystem.