Topic 4 of 6 · AI & Predictive Intelligence

    AI & Predictive Intelligence

    AI is the differentiator in modern BetTech. This pillar covers how predictive models create value across the ecosystem — from engagement tools for publishers to margin protection for operators.

    20 articles7 personas coveredUpdated weekly

    1.1BN+

    annual projections generated by FairPlay AI across 40+ sports

    About AI & Predictive Intelligence

    About AI & Predictive Intelligence

    AI is no longer the differentiator at the edges of BetTech — it is the product. Predictive models drive the headlines that publishers run, the personalisation that keeps users engaged, the margin protection operators rely on, and the second-screen experiences rights holders monetise during live events.

    This pillar gives Product, Operators, Rights Holders and Investors the technical grounding and decision frameworks to evaluate predictive intelligence as infrastructure: what to build, what to buy, how to measure value, and how to govern it responsibly.

    The AI & Predictive Intelligence library

    All 20 AI & Predictive Intelligence guides

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    AI & Predictive Intelligence glossary· 10 termsShow ▾
    Predictive AI
    Machine-learning models that forecast outcomes — match results, player metrics, market movements — to power live products.
    Player ratings
    Quantitative scoring of individual player performance, the foundation of WhoScored and a core BetTech data product.
    Player effect
    Models that quantify how individual player availability and form change market prices and projections.
    FairPlay AI
    FairPlay's predictive engine that powers AI-driven projections across partner publishers, operators and broadcasters.
    Second-screen
    Experiences delivered to a viewer's phone or tablet alongside a live broadcast — a major monetisation surface for AI predictions.
    xG / xEV
    Expected Goals / Expected Value — model-based metrics that translate raw events into probability-weighted signals.
    Agentic AI
    AI systems that plan and execute multi-step tasks autonomously, on behalf of a user.
    Personalisation
    Tailoring content, predictions and recommendations to the individual user based on behaviour, history and intent.
    Responsible AI
    Governance practices ensuring transparency, data provenance, monitoring and human oversight of AI in regulated environments.
    AI moat
    The defensible advantage created by proprietary data, model IP and ongoing ML operations — the basis for long-term differentiation in BetTech.
    Frequently asked

    AI & Predictive Intelligence questions, answered

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