This series is built around a comprehensive analysis of advanced poker strategies, as demonstrated by Russell “rdcrsn” Carson across a three-parts focusing on a 6-max poker tournament. Through detailed commentary, Carson offers an in-depth look into the dynamics of aggressive play, strategic decision-making, and situational awareness.

PXF Classic Video: PXF pro Joe “Hoodini10” Udine narrates his PokerStars Warm-Up multi-table tournament in this eight-part series. Part 1 includes an introduction by Cliff “JohnnyBax” Josephy. This was Joe’s first series for PXF. Joe brings a fresh perspective to the game, combining conservative play with strategic aggression, keen observational skills, and an unwavering willingness […]

PXF Classic Video: PXF pro Ryan "gutshtallin" Welch narrates his $100 Rebuy multi-table tournament in this five-part series. Part 1 includes an introduction by Eric "Sheets" Haber. This was Ryan's first series for PXF.

PXF Classic Video: Eric “Rizen” Lynch narrates his deep runs in two multi-table tournaments live as he plays, providing a unique view into how poker professionals think in real-time.

Explore the Monty Hall problem in this PXF Classic video, where Sheets explains a fascinating probability puzzle and how it can change your poker game.

In this article, Rizen explores how to exploitatively adjust to specific table dynamics in general and create framework to put yourself in the right mindset to adjust your preflop ranges to best adapt to a specific table.

In this article, Rizen explores how to exploitatively adjust to specific table dynamics in general and create framework to put yourself in the right mindset to adjust your preflop ranges to best adapt to a specific table.

Imagine you are in a $1500 WSOP bracelet event with 100 big blinds. Would you check/call three streets with top pair/average kicker? GTO solvers and poker pros say you probably should.

In our first two articles in this series (see Part 1 and Part 2), we primarily dealt with the theory behind exploitative adjustments. In this one, we’ll give a real-world example of how you might adjust to a player in real-time based on information seen at showdown. 

We will develop a framework that will teach you how to identify (and exploit) some of the more common mistakes we see at the poker tables today, more importantly, we’ll develop a framework for identifying, adapting to, and exploiting strategies on the fly for any situation we may encounter at the tables.