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PokerCoaching Quizzes — 751 Pieces is the largest decision-training database in the PokerCoaching catalogue — 751 individual quiz hand scenarios from Jonathan Little covering value bet vs. check, push-fold decisions, bluff-or-check, call-or-fold and sizing choices across tournament and cash game contexts. Each quiz presents a real hand scenario, requires a decision, then delivers Jonathan’s complete explanation of the correct play and why.
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📚 Course Structure — 5 Modules
| Section | Content |
|---|---|
| Quiz 0–25 (Entry Level) | Foundational decision scenarios — value betting basics, simple push-fold spots, preflop decisions in standard stack situations |
| Quiz 26–50 (Intermediate) | Multi-street decisions, 3-bet pot responses, bubble scenarios, ICM-aware decision making |
| Quiz 51–75 (Advanced) | Complex postflop situations, range-based decisions, stack leverage concepts, combination counting |
| Quiz 76–99 (Expert) | High-stakes decision scenarios, thin value spots, advanced bluffing situations, final table ICM decisions |
| 751 Total Scenarios | Complete decision-training library spanning all quiz groups — the most comprehensive decision repetition resource in any poker product |
🎯 Key Insight
Quiz 0 opens with a value bet vs. pot control decision at 100/200 with a 25 ante — Ace-King of spades in the cutoff. Jonathan’s format: present the complete hand situation, ask for the decision, then explain. This format trains decision-making under uncertainty rather than pattern recognition — you face the spot before seeing the answer, replicating the in-game experience of applying concepts under real pressure.
📊 Quiz Volume — The Numbers
| Metric | Details |
|---|---|
| Total Hand Scenarios | 751 individual quiz hand scenarios |
| Format | Decision-first — hand presented, you decide, Jonathan explains |
| Quiz Range | Quiz 0 through Quiz 99 — multiple parts per quiz |
| Topics | Value bet vs. check, push-fold, call-or-fold, sizing, bluff-or-check |
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Validate quiz decisions against solver outputs at GTO Wizard — compare your quiz responses and Jonathan’s explanations against solver-optimal play for the specific scenarios, stack depths and board textures.
🧩 751 Decisions. Train Like You Play. Play Like You’ve Trained.
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