Educating Novice Bettors: An Applied Framework for Risk-Aware Decision Making

Session Title

AI & Education: Risk, Innovation & Security

Presentation Type

Paper Presentation

Start Date

26-5-2026 12:00 AM

Abstract

Sports betting participation has expanded rapidly, while most responsible gambling interventions rely on restriction-based tools such as limits, self-exclusion, and reactive controls. These approaches often fail to address a primary driver of harm among novice bettors: limited understanding of probability, risk, and decision quality. This paper presents an applied framework for betting literacy as a preventative responsible gambling strategy using AI-driven decision support systems. Drawing from real-world platform design and user engagement observations, the presentation examines how structured educational tools, probabilistic transparency, and decision-focused interfaces influence bettor behavior. Rather than emphasizing outcomes or picks, the framework promotes process-oriented learning, including variance awareness, line movement, and risk calibration prior to wager placement. The paper explores how novice bettors respond when predictive information is paired with contextual explanations and behavioral friction, encouraging reflection over impulsive action. Observations indicate improved risk awareness, more consistent staking behavior, and reduced emotionally driven wagering patterns. These findings support betting literacy embedded in product design as a complementary harm-reduction model for regulators, platform designers, and researchers, emphasizing prevention through understanding rather than restriction.

Author Bios

I am the Founder and CEO of PlayerProps.ai, the AI powered sports betting education platform that was named 2025 Sports Betting Business of the Year by the Fantasy Sports & Gaming Association. Since the creation of this award five years ago, the only past winners have been FanDuel and DraftKings. PlayerProps.ai is now the third company in history to receive this honor.We also earned awards for Best Innovation and Best Written Content, recognizing our focus on clarity, responsible gambling, and AI driven tools that help bettors understand what they are doing and why.I built this company bootstrapped and profitable. We have passed $1 million in annual recurring revenue and have grown a community of more than 250,000 sports bettors across our digital channels. My mission has remained the same from day one. I want to give new bettors the education layer that has never existed in this industry.PlayerProps.ai provides projections, prop tools, line movement tracking, structured learning resources, and responsible gambling support. We focus on helping beginners make smarter, more informed decisions without relying on hype driven prediction models.Before founding PlayerProps.ai, I spent years in the fantasy sports and sports betting community, studying the challenges new bettors face. That experience shaped our core belief. The future of sports betting will be defined by education and informed decision making rather than volume or short term marketing tactics.As the market continues to expand, I am committed to building an AI powered platform that supports long term bettor development, industry responsibility, and innovation at scale. Our team continues to evaluate strategic partnerships and opportunities that align with this mission as we plan the next stage of growth for PlayerProps.ai.If you would like to learn more about the platform, explore our tools, or connect with me directly, I am always open to meaningful conversations.

Share

COinS
 
May 26th, 12:00 AM

Educating Novice Bettors: An Applied Framework for Risk-Aware Decision Making

Sports betting participation has expanded rapidly, while most responsible gambling interventions rely on restriction-based tools such as limits, self-exclusion, and reactive controls. These approaches often fail to address a primary driver of harm among novice bettors: limited understanding of probability, risk, and decision quality. This paper presents an applied framework for betting literacy as a preventative responsible gambling strategy using AI-driven decision support systems. Drawing from real-world platform design and user engagement observations, the presentation examines how structured educational tools, probabilistic transparency, and decision-focused interfaces influence bettor behavior. Rather than emphasizing outcomes or picks, the framework promotes process-oriented learning, including variance awareness, line movement, and risk calibration prior to wager placement. The paper explores how novice bettors respond when predictive information is paired with contextual explanations and behavioral friction, encouraging reflection over impulsive action. Observations indicate improved risk awareness, more consistent staking behavior, and reduced emotionally driven wagering patterns. These findings support betting literacy embedded in product design as a complementary harm-reduction model for regulators, platform designers, and researchers, emphasizing prevention through understanding rather than restriction.