Pro Gambling. Sports Forecasting Platform

Sports bettors make decisions in seconds during live events, but most analytics platforms deliver insights with 30-60 second delays that make predictions worthless by the time they arrive. Pro Gambling needed a forecasting engine that processes 500+ data points per match – player form, historical stats, real-time conditions – with sub-200ms model inference. The system had to sustain 40,000+ concurrent users during Champions League matchdays without degrading prediction accuracy or response times.

The team’s objectives were to:

• Deliver real-time sports forecasts using comprehensive data analysis.
• Aggregate odds and match data from various sources into a unified system.
• Provide users with transparent statistics and performance metrics.
• Ensure stable performance during high-traffic live sports events.

We brought deep expertise in high-throughput analytics systems and real-time data processing. Our pipeline streams live match events through Apache Kafka into Flink-based ML models that retrain automatically every 24 hours with the latest results and market movements. We built the inference layer to process 8,000+ prediction requests per second at sub-200ms latency – ensuring forecasts remain actionable during the most critical moments of live events.

The backend is built in Java using Spring Boot, providing a solid foundation for APIs, forecasting logic and data ingestion pipelines. We use Apache Kafka to stream live match events and odds updates and Apache Flink processes these streams in real time to calculate metrics and trigger forecast updates. This setup ensures that predictions remain up to date throughout live games.

Pro Gambling features a modern frontend built with React and Next.js, optimized for fast navigation and real-time updates. Users can access forecasts, statistics and match insights through a clean web interface designed for both desktop and mobile devices.

Apache Cassandra is used to store historical match data, user activity and prediction results at scale. Apache Pinot enables real-time analytics dashboards, providing instant visibility into match trends and model performance. Redis and Ignite offer low-latency caching for live data. The entire platform is deployed on Kubernetes with Istio for traffic management and is hosted on AWS to ensure elasticity and fault tolerance.

Pro Gambling analyzes live match data and odds changes to provide real-time forecasts. Users benefit from timely insights that reflect the current game state.

The platform integrates historical statistics, live data and model outputs into user-friendly dashboards. This enables users to grasp not only the predictions but also the underlying data.

Pro Gambling provides APIs for data access and integrations, which facilitate future expansion and partnerships with external betting and analytics services.

We built ML-powered predictions that deliver 67% directional accuracy across major sports leagues. Our algorithm processes 500+ data points per match from historical stats, player form and real-time conditions – giving users an analytical edge that keeps them engaged and coming back.

We engineered a system that processes 8,000+ prediction requests per second with sub-200ms model inference during live events. Our platform sustains 40,000+ concurrent users during Champions League matchdays without degradation – turning peak-traffic moments into the platform’s strongest engagement driver.

We built a Flink-based pipeline that processes 2TB+ of sports data daily with 99.95% uptime. Our automated model retraining runs every 24 hours incorporating the latest match results and market movements – keeping predictions fresh without any manual data science intervention.