The Smarter Way To Bet

Make sports betting a calculated investment, not a gamble.

Portfolio

Jun 16, 2025

Top Holdings

Updated 8:32 PM

Financial Forecast

Portfolio Breakdown

Daily Portfolios

Idiosyncratic, data-driven portfolios delivered daily. We combine rigorous model-driven selection with disciplined risk controls; transparent, accountable, and relentlessly optimized for long-term outperformance.

League Coverage

MLB
NBA
NFL
NHL
NCAA
MLB
NBA
NFL
NHL
NCAA
MLB
NBA
NFL
NHL
NCAA

Sports Betting:
The Next Asset Class

At BetSmart, we are turning sports betting into a financial asset; we apply the same discipline, risk controls, and analytics used by the world’s top investors.

Risk Simulations

Stress-test your bets across thousands of scenarios to understand downside risk, volatility, and bankroll sustainability before you ever place a dollar.

Value Calculators

Instantly quantify expected value, edge, and optimal bet size; so you only bet when the math is in your favor.

Transparent Results

Every pick. Every record. Publicly tracked and verified; because trust is earned, not assumed.

Meet Our Team

Graham Robbins

Graham Robbins

Founder & CEO

Background in computational finance and analytics, developed BetSmart's first algorithm with a 16.70% ROI, leading BetSmart's vision from the front lines.

Joe Solomon

Joe Solomon

Chief AI Officer

Ph.D. in Mechanical Engineering, Masters in Data Science, Artificial Intelligence, Mechanical Engineering, Bachelors in Aerospace Engineering; Machine Learning Research Scientist spearheading predictive modeling and algorithmic development.

Jonah Melton

Jonah Melton

Chief Operating Officer

Background in high finance, startup growth, solving problems, delivering results; implementing tactical operational processes, creating strategies and infrastructure to translate our vision into material scalability.

Alex Bernal

Alex Bernal

Chief Quantitative Officer

Masters in Applied Data Science, Financial Engineering; Bachelors in Economics; Expertise in financial markets, portfolio management, algorithmic trading, machine learning, risk management, statistical backtesting; Quantitative Data Scientist governing the execution of all technological optimization and superior models.

Vinayak Tripathi

Vinayak Tripathi

Senior Advisor, Quantitative Research

Ph.D. in Economics, Masters in Financial Mathematics, Electrical Engineering, Bachelors in Electrical Engineering; Quantitative Macroeconomic Research Director and Portfolio Manager pioneering optimal analytical frameworks, precise structure, and repeatable processes.

Felix Lindgren

Felix Lindgren

Founding Engineer

Full Stack developer and software wizard, responsible for automating internal and external processes, optimizing front end and back end infrastructure, as well as streamlining algorithmic development.

Akshay Srinivasan

Akshay Srinivasan

Chief Strategy Officer

Masters in Financial Engineering; Bachelors in Mathematics, Data Science, and Economics; Quantitative Researcher and Strategist applying machine learning, data-informed decision-making, and cross-functional execution to accelerate competitive advantage and sustainable growth.

Shiv Mehta

Shiv Mehta

Quantitative Researcher

Bachelors in Data Science and Cognitive Science specializing in machine learning and neural computation; Machine Learning Researcher and Quantitative Technologist concentrating on GPU-accelerated finance, derivatives modeling, LLM optimization, and statistical arbitrage.

Mason Marchetti

Mason Marchetti

Associate Quantitative Researcher

Masters in Financial Engineering; Bachelors in Integrated Engineering, Computer Science; Quantitative Researcher focusing on fundamental algorithmic analysis and comprehensive risk management.