Livia Troise on AI Innovations in Brazilian Live Betting

As live betting becomes more dynamic, operators like Casa de Apostas leverage AI to enhance the accuracy and speed of odds calculations. According to Livia Troise, Chief Innovation Officer at Casa de Apostas, machine learning models are pivotal in recalibrating probabilities rapidly during a match, especially when critical events like goals or cards occur. This capability is crucial for maintaining integrity and player protection.

The Mechanics of Live Betting in Brazil

In the Brazilian market, live betting shares similarities with European counterparts in terms of core mechanics. However, Brazil's market maturity and bettor profiles differ. Brazilian bettors often prefer markets they perceive as safer, such as 'double chance' or 'draw no bet'. Troise notes that, in balanced matches, betting activity is influenced by match progression. Experienced Brazilian bettors engage similarly to Europeans, though their focus is predominantly on local events.

Role of AI and Data in Odds Setting

The ability to update odds quickly relies on multiple factors, including official data sources and the deployment of AI models. Troise highlights the importance of low latency, reliable data, disciplined risk management, and a robust customer interface for success. While penalties are more straightforward to price due to immediate outcomes, red cards present greater challenges due to structural changes in gameplay.

Expanding Live Betting Beyond Football

Live betting is not exclusive to football. Sports like tennis and volleyball naturally suit in-play betting due to their structured progression. While MMA presents unique challenges with fewer scoring events, when tailored correctly, it can become a strong live betting product catering to a niche yet engaged audience.

Market Dynamics: Micro Markets and Their Value

Micro markets such as betting on the next corner or throw-in add interactive elements to the betting experience. Troise insists these should not be measured solely by bet count but by whether they drive genuine engagement and sustainable activity. Integrity controls, limits, and responsible gambling measures are essential, ensuring these markets offer clear customer value without simply generating churn.

Distinguishing Match-Fixing from Problem Gambling

Operators face two distinct risks: match-fixing and problem gambling. Troise explains that identifying abnormal betting patterns and customer behavior requires separate, high-speed controls. Machine learning aids in detecting anomalies, with AI serving as a support tool to prioritize interventions, reinforcing the need for human oversight.

AI’s Current and Future Role in Odds Making

AI is already transforming odds-making by analyzing live data and adjusting probabilities in real-time. While fully autonomous systems remain speculative, current AI technologies effectively identify betting trends and customer risks, enhancing operational efficiency without replacing the need for human expertise.

Advantages of Local Operators in Brazil

Brazilian operators benefit from local expertise, allowing them to quickly adapt products and address customer needs effectively. Troise emphasizes the significance of building trust and reliability through understanding local preferences, aiming for a better customer experience without over-reliance on promotional campaigns.

The SBC Summit 2026 in Lisbon will host industry leaders like Troise to discuss these developments further, bringing together stakeholders for three days of insights and networking.