Hello
My name is Gavin Foster. I am a student at Wake Forest University double majoring in Mathematical Business and Statistics with a minor in Computer Science. I am also a longtime student, player and fan of the game of poker. With this website I intend to combine my academic interests and my poker interest. Using statistical techniques, I aim to make sense of complex poker solver data. Specifically, I seek to better understand what factors drive bet sizing and bet frequency decisions in different situations.
My Story
At 16, I discovered the game of poker and immediately I was hooked. I began to consume every online resource available, seeking to master its complexities and become a skilled player. Yet, conflicting advice from various coaches left me perplexed and unsure whose strategies to trust. Seeking clarity, I turned to poker solvers as unbiased guides only to be met facefirst by the daunting complexity of their data. Analyzing patterns and drawing conclusions proved slow and challenging, and still I was not free from my own biases.
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At 18, disheartened, I stopped playing and studying poker. Now, three years later, my passion for poker has been reignited. Armed with a background in statistics and computer science, I see poker solver data not as a source of frustration, but as a goldmine for unbiased insights. Through rigorous statistical analysis, I’m attempting to unravel the intricacies of decision-making in poker. My mission is to share these insights on my website, empowering players to understand and apply solver-driven strategies effectively.
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Join me on this journey as I blend my love for poker with my expertise in data analytics, exploring the vast potential of solver data and reigniting my passion for the game. Together, let's delve into the strategic depths of poker, uncovering the factors that drive optimal play and enhancing our skills as players and analysts alike.
Quantitative Poker's Mission
At Quantitative Poker, I analyze poker solver data using statistical techniques to uncover the factors influencing solver decisions. By understanding why the solver behaves as it does, my aim is to derive actionable strategies that enhance players' own poker strategies. I maintain complete transparency in all processes, allowing you to assess the value of my approach to studying poker. Through openly sharing datasets and methodologies, I empower players to replicate and critique my analyses for collective learning and improvement.
Contact
Feel free to contact me if you have any questions or recommendations!