ML-powered football analytics for smarter predictions
xgEdge combines machine learning models with historical football data to generate match outcome probabilities, automate position management, and deliver real-time performance analytics.
Prediction Engine
Machine learning models analyse historical football data to generate match outcome probabilities with quantified confidence levels.
Automated Execution
Fully automated pipeline from data ingestion through feature engineering to position management — running daily without intervention.
Analytics Dashboard
Real-time performance monitoring with KPIs, historical analysis, and detailed match-level breakdowns.
Why it matters
Sports analytics has traditionally been the domain of large syndicates with dedicated quant teams. xgEdge levels the playing field by combining advanced ML models, automated data pipelines, and rigorous backtesting into a single integrated platform — making institutional-grade prediction analytics accessible.
Team
Ben Lavender
Co-Founder
Created BBC iPlayer, the world's first catch-up TV service. Built LOVEFiLM's streaming platform (acquired by Amazon for £200M, now Prime Video). Scaled DAZN from startup to $1B revenue. Grew Trustpilot 19% YoY with AI-driven product innovation.
LinkedIn
Tom Lavender
Co-Founder
Competitive footballer playing across two clubs with five years in cricket. Led his school team to international tournament victory in Spain. Brings grassroots football insight and domain knowledge to xgEdge's match analysis.
LinkedInGet in touch
Interested in xgEdge? We'd love to hear from you.