About
We make elite sports intelligence accessible to everyone
Sport AI Expert was built on a simple belief: the same data-driven edge that professional clubs and trading desks use should be available to any fan, analyst or bettor — not just those with a seven-figure analytics budget.
Our mission
We combine machine learning, real-time match data and probabilistic modelling to surface insights that are genuinely useful — not just impressive-sounding. Every prediction comes with a confidence score, a reasoning trail and the honest caveat that no model is infallible.
How it started
Sport AI Expert grew out of a frustration shared by its founders: existing prediction tools were either too shallow (gut-feel aggregators dressed up as AI) or too inaccessible (proprietary platforms locked behind enterprise contracts).
We started building in early 2026 with a single goal — ship a platform that a developer, a data-curious fan and a professional analyst could all find genuinely useful. The Monte Carlo simulation engine, xG streaming and value-bet detection are the result of that work.
Today the platform covers 47 leagues, delivers over two million predictions and is used by subscribers in 12 countries. We're still early, and we're still building.
What we stand for
Our values
Accuracy over hype
We backtest every model against multiple seasons of real data before shipping it. Confidence scores reflect historical calibration, not marketing copy.
Transparency by default
Every prediction includes a reasoning trail. We show you why the model thinks what it thinks — not just the output.
Speed that matters
Live xG updates every 60 seconds. Monte Carlo simulations in milliseconds. Real-time data is only useful if it arrives in time to act on it.
Built for real users
From a casual fan checking weekend fixtures to a developer querying the API at scale — the platform is designed to serve both without compromise.
The people
Meet the team
Lena Hoffmann
Co-founder & CEO
Former quantitative analyst at a Bundesliga club. Built the original xG model on a laptop during the 2024 World Cup.
Marco Reyes
Co-founder & CTO
10 years in distributed systems. Designed the real-time data pipeline that powers live match updates across 47 leagues.
Priya Nair
Head of Data Science
PhD in applied statistics. Leads model development including the Monte Carlo simulation engine and PPDA pressing model.
Jonas Weber
Head of Product
Previously at two sports-tech startups. Obsessed with making complex analytics feel simple and fast.
Our journey
From idea to platform
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