Poker Trainer AI -Texas Holdem
Odds Calculator,GTO & Practice
About
Enhance your Texas Hold'em skills with accurate odds calculation, GTO strategy analysis, and AI-powered training. Practice with real-game scenarios and analyze your decisions to improve your long-term profitability at the poker table.
What's New in Poker Trainer AI
1.4.00
July 17, 2026
Added the latest Texas Hold'em tournament news and Texas Hold'em tutorials.
Subscription plans
monthly
monthly
Developer apps
FAQ
How does Holdem Study calculate odds?
Holdem Study uses Monte Carlo Simulation to run thousands to millions of randomized scenarios. This method delivers highly accurate and reliable win rate calculations for any given Texas Hold'em situation.
What is GTO strategy in Holdem Study?
GTO stands for Game Theory Optimal. Holdem Study integrates GTO strategy recommendations, helping you understand your equity and learn the optimal actions for every decision to play a theoretically sound game.
Can I train offline with Holdem Study?
Yes, Holdem Study offers offline calculation for speed and privacy. This allows you to practice and analyze hands without an internet connection.
What kind of training does Holdem Study offer?
Holdem Study features a comprehensive training system including real-game scenario simulations, decision-making exercises, and hand history reviews. It also integrates AI models as intelligent opponents and coaches for diverse training.
What are the membership costs for Holdem Study?
Holdem Study offers a monthly membership for $4.99, a quarterly membership for $9.99, and an annual membership for $29.99.
What is the age rating for Holdem Study?
Holdem Study has an age rating of 17+, indicating it is intended for mature audiences.
How often is Holdem Study updated?
The latest version of Holdem Study is 1.3.12, and it was last updated on June 2, 2026. This suggests a relatively active development cycle.
Does Holdem Study support multiple players?
Yes, Holdem Study supports multi-player scenarios for 2 to 9 players. This allows for training in various game configurations.
