CPD Accredited Course

Course Schedule

Module 1: Advanced Sportsbook Security and Protection

- Introduction: Setting the stage for advanced sportsbook management and the importance of

security.

- Fraud Detection and Prevention: Exploring advanced techniques and technologies to identify and

prevent various forms of fraud, including collusion and bonus abuse.

- Player Identity Verification: Discussing robust KYC procedures and player authentication to maintain

a secure platform.

- Cybersecurity for Sportsbooks: Examining cybersecurity measures and strategies to safeguard

against cyber threats and data breaches.

- Regulatory Compliance: Understanding the evolving landscape of sports betting regulations and

best practices for compliance.

- Q&A Session: Addressing questions from the audience.

Module 2: Advanced Bot Detection and Management

- Introduction: Highlighting the growing challenge of automated betting bots and the need for

advanced detection.

- Bot Detection Algorithms: Delving into sophisticated algorithms used to identify and mitigate

automated bots effectively.

- Machine Learning for Bot Detection: Exploring how machine learning models can be applied to

detect and combat advanced bots.

- API Security: Discussing strategies to secure APIs and prevent unauthorized access.

- Continuous Bot Monitoring: Exploring real-time monitoring systems and strategies to detect and

respond to bot activity.

- Q&A Session: Fielding questions from participants.

Module 3: Real-Time Data Feeds and Integration

- Introduction: Highlighting the significance of accurate real-time data feeds in sports betting.

- Data Feed Providers: Evaluating data providers and selecting the most reliable sources for live

sports data.

- API Integration: Exploring advanced techniques for seamless integration of real-time data into

sportsbook platforms.

- Data Quality Assurance: Discussing methods to ensure data accuracy and reliability.

- Live Odds Adjustments: Examining how real-time data impacts odds and strategies for quick

adjustments.

- Q&A Session: Answering audience queries.

Module 4: True Odds Compilation

- Introduction: Setting the stage for true odds compilation and its role in sportsbook management.

- Advanced Probability Models: Exploring advanced probability models, including Monte Carlo

simulations, for accurate odds calculation.

- Bayesian Inference in Odds Making: Discussing Bayesian methods and their application in odds

calculation.

- Market Dynamics: Analyzing market movements and player sentiment for dynamic odds

adjustments.

- Odds Optimization Algorithms: Exploring algorithms to optimize odds while maintaining

profitability.

- Q&A Session: Addressing questions from the audience.

Module 5: Risk Management Strategies

- Introduction: Emphasizing the critical role of risk management in sportsbook operations.

- Advanced Risk Assessment: Quantifying and managing risk exposure in complex markets.

- Hedge Betting: Exploring hedging strategies to mitigate risk and ensure consistent profitability.

- Dynamic Staking Plans: Discussing advanced staking plans for bankroll management and risk

mitigation.

- Event-Specific Risk Analysis: Assessing unique risk factors associated with specific sports and events.

- Q&A Session: Fielding questions from participants.

Module 6: Advanced Sportsbook Analytics

- Introduction: Highlighting the role of advanced analytics in optimizing sportsbook performance.

- Advanced Analytics Tools: Exploring advanced analytics tools for real-time insights into player

behavior and market trends.

- Player-Driven Odds: Discussing player-driven odds and user-generated content's impact on sports

betting.

- Behavioral Economics in Betting: Understanding how behavioral economics principles influence

player decisions.

- Advanced Player Segmentation: Segmenting players based on complex criteria for personalized

marketing and risk management.

- Machine Learning for Predictive Analytics: Implementing machine learning models for predicting

player behavior and market trends.

- Q&A Session: Addressing questions and concluding the webinar.

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