One question. One answer. One exploit. Short, focused strategy articles for live cash players — each one backed by RangeIQ’s engine math.
The most profitable opponent type in live poker — and the embarrassingly simple strategy that beats them. Value sizing framework with hand examples.
Read → ConceptsGTO solvers help online grinders. Exploit trainers help live players. A fair comparison of when to use each approach.
Read → SizingCalling stations call almost any bet, but that does not mean any size is optimal. Learn the exact sizing adjustments to maximize value.
Read → Opponent TypesA complete guide to exploiting calling stations with specific hand examples, dollar sizing, and a practice tool for building the habit.
Read → Tools9 opponent types, exact dollar sizing, and plain-English reasoning. RangeIQ is designed for the games you actually play.
Read → SizingThe right raise size over limpers depends on the table. Exact dollar amounts for common limped pot scenarios — not formulas.
Read → Opponent TypesNits are the tightest players at your table. Learn when to steal, when to fold, and how to stop paying them off.
Read → Opponent TypesThey call too much and bet too little. Straightforward value extraction with bigger sizing — no fancy plays needed.
Read → Opponent TypesCalling station, nit, TAG, loose-passive, and LAG — the quick exploit for each with hand examples.
Read → SizingBB notation makes sense online. At live tables, studying in dollars removes the mental translation tax.
Read → Opponent TypesWhen the quiet player suddenly bets big on the river, top pair is usually not good enough. Save $75-$100 per session.
Read → ToolsIf you've stared at a solver output and thought "but my opponent would never do that," RangeIQ might be what you're looking for.
Read → Opponent TypesWhether to 3-bet a nit at 1/3 depends on hand strength, position, and one key read about their calling range preflop.
Read → ConceptsThe short answer: a browser-based study tool for live cash games, built around nine opponent types and bet sizing in real dollars. Includes a side-by-side with traditional GTO solvers.
Read → ConceptsTwelve exploit-based concepts defined in plain English: node-locking, capped ranges, bluff-catchers, fold equity, population tendencies and more. Each definition stands on its own.
Read → StakesThe widest-calling, least-bluffing pool RangeIQ models. Why value betting, sizing up and folding to river aggression all follow from those two facts.
Read → StakesThe pool gets structured, folds to c-bets more and starts bluffing back. What changes when the low-stakes value-only recipe stops working.
Read → StakesThe most balanced pool RangeIQ models. Population reads narrow here, so profiling individual opponents does the work instead.
Read →Looking for longer reads? The Resources page has in-depth articles on node-locking, IQ Reasoning, GTO vs exploit play, and more.
Browse Strategy Resources →Pick any opponent type. Enter any spot. Get the exploit in seconds — with IQ Reasoning explaining why.
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