High-Frequency Sports Betting Analytics & Algorithmic Prediction Platform
Data-driven sports analytics platform aggregating live consensus odds, sportsbook betting splits, and statistical match simulation engines.
Problem Statement & High-Level Architecture
Developed an end-to-end sports analytics and predictions platform integrating real-time score feeds, multi-sportsbook market consensus splits, and automated algorithmic betting recommendations across major leagues (EPL, La Liga, Liga MX, NBA, MLB, UFC).
Engineering Design & Data Pipeline
Constructed with FastAPI, Django, SQLAlchemy, Alembic database migrations, PostgreSQL, and high-performance background pipelines. Automates daily ingestion of odds lines, team statistics, and historical head-to-head records alongside automated Stripe payment settlement and engagement drip loops.
Platform Features & Technical Capabilities
Automated sportsbook betting splits ingestion and real-time odds consensus tracker
Multi-league soccer and sports simulation engines with Alembic migrations and PostgreSQL persistence
Automated sequential pipeline orchestrator running nightly model projections and EV line evaluations
Live score ingestion feeds with automated daily game digest dispatches and email drip campaigns
Resilient anti-bot bypass handling rate limits and dynamic CAPTCHA validation
Engineering Bottlenecks & Architectural Solutions
Ingesting and reconciling high-frequency odds updates and consensus splits across multiple leagues simultaneously without triggering IP bans or rate throttles.
- Concurrent ingestion across multiple sportsbooks triggering anti-bot IP throttling.
- High write concurrency causing database lock contention during live match odds updates.
- Network jitter and timeout cascades resulting in stale odds consensus feeds.
Built distributed asynchronous scrapers with intelligent caching, differential update algorithms, and sequential pipeline execution with automated error recovery.
- Distributed asynchronous worker queues with automated proxy rotation and backoff.
- Differential state hashing writing only changed odds lines, slashing DB load by 85%.
- In-memory Redis cache delivering sub-50ms query responses to frontend dashboards.