Hero.AI uses advanced machine learning techniques to analyze historical data and run contest simulations, creating comprehensive datasets that fuel our player rankings. These rankings are specifically tailored for different contest types, such as GPP (Guaranteed Prize Pool) and Cash games, and are designed to help you optimize your DFS lineups.
Key Factors for GPP Ranks:
• Upside: The potential for a player to exceed their expected performance, crucial for achieving top placements in high-risk, high-reward contests.
• Leverage: How a player’s projected ownership compares to their optimal lineup inclusion, helping you find players who can provide a strategic advantage.
• Ceiling Points per Dollar: The maximum fantasy points a player can achieve relative to their salary, allowing you to identify high-value picks.
• Boom Potential: The likelihood of a player delivering an explosive performance that can significantly boost your lineup’s score.
Key Factors for Cash Ranks:
• Bust Probability: The chance of a player underperforming relative to expectations, helping you avoid risky picks in safer, consistency-focused contests.
• Floor: The minimum fantasy points a player is likely to score, ensuring more reliable selections.
• Ownership: The expected percentage of the field rostering a player, which helps balance popular choices with contrarian options.
Why Hero.AI Player Ranks Matter:
• Sport-Specific Optimization: Hero.AI customizes rankings based on the most critical factors for each sport and contest type, providing you with the most relevant insights.
• Strategic Flexibility: By leveraging these rankings, you can tailor your lineup strategy to the specific demands of GPPs or Cash games, maximizing your chances of success in each format.
Hero.AI’s player ranks are a powerful tool for DFS players, combining historical data, simulations, and machine learning to deliver optimized rankings that align with your contest goals.