GTO LAB TOURNAMENT SAVAGERY

GTO LAB Tournament Savagery

Duration: 29+ Hours
Format: Structured MTT System (Preflop / Postflop / ICM / Final Table)
Level: Advanced Tournament Players

GTO LAB TOURNAMENT SAVAGERY is a 29+ hour AI-structured tournament poker masterclass built around logical stage progression and ICM-based decision trees. The content follows a layered tournament architecture: early cEV foundations → mid-stage ICM transitions → bubble pressure → post-bubble leverage → final table execution.

Developed by Nick Petrangelo and Daniel Dvoress, this system teaches how risk premiums, payout ladders and stack asymmetry reshape preflop ranges, postflop mechanics and EV maximization. Over 10 hours are dedicated exclusively to final table play, making this one of the most comprehensive structured MTT breakdowns available.

This is not random theory. It is structured tournament decision modeling designed for repeatable deep runs.

COURSE CONTENT OVERVIEW
├─ 1-Intro (1 file)
├─ 2-Preflop (20 files)
├─ 3-Postflop (17 files)
├─ 4-Blind vs Blind (3 files)
└─ 5-Fun and Esoteric Spots (2 files)

If you are comparing tournament-focused solver training, also read our GTO Wizard Poker Courses in 2026 guide to see how GTO Wizard MTT Bootcamp compares with other elite MTT study paths.

SAMPLE: https://t.me/epgsamples/5

SAMPLE: https://rumble.com/v75ntfa-gto-lab-tournament-savagery-cheap.html

SAMPLE: https://ok.ru/video/11971049294481

SAMPLE: https://rutube.ru/video/2f5b86051d00bc199321672dd4d3bef7/

We also reviewed the complete GTO LAB poker training ecosystem, including Tournament Savagery, coaching systems, and solver-based MTT frameworks:
https://elitepokerguide.io/gto-lab-courses-in-2026/

Structured Learning Framework

Stage 1 – Early Tournament (cEV Foundations)

• Inequal stack theory
• Range construction mechanics
• High-frequency postflop spots
• 3-bet and SRP dynamics

Stage 2 – Mid Stages (ICM Transition Layer)

• cEV to ICM adjustments
• Risk premium modeling
• Stack pressure redistribution
• Bubble factor misconceptions

Stage 3 – Bubble Environment (Maximum ICM Pressure)

• Big stack vs mid stack leverage
• Short stack survival thresholds
• Accurate preflop ranges under pressure
• Exploiting overfolding populations

Solver study gives you baseline ranges, but tournament structure still changes incentives in real time. For a practical example, read our Rebuy Period Poker Tournament Strategy guide, which explains how rebuy windows and pre-antes timing can distort short-stack ranges.

Stage 4 – Post-Bubble & Near Final Table

• Resetting risk premiums
• Field compression dynamics
• Preflop and hand review breakdowns

Stage 5 – Final Table Execution Engine

• 9–6 handed stack modeling
• 5–3 handed short-handed adjustments
• Big stack aggression calibration
• Bluffing in tight ICM ranges
• Complex sizing and exploit nodes

Instructor Authority

GTO LAB Tournament Savagery Review – Elite ICM Masterclass by Nick Petrangelo & Daniel Dvoress