The soccer metrics your model is missing.

Metrics

We build soccer metrics for bookmakers, trading desks, clubs and funds, designed to slot into the models they already run.

Each one is made to add something new to your model, not repeat what it already knows.

Every metric is available for players, teams and whole matches, with half-time and in-game time slices, so it fits pre-match pricing as well as live trading.

Tell us what your model already covers, and we'll show you where our numbers can add to it.

Aggregated data

We bring together event data, pre-match and in-play odds, and prediction-market prices from more than 300 leagues worldwide, from the top European divisions to Brazil and MLS.

Every source is cleaned, checked and linked to the same matches and teams before any new metric is built on it, so the data that reaches your model is consistent and ready to use.

Packaged products built on this data, such as feeds and an API, are planned.

About

Big Chance Data is a soccer modelling house in Sofia, working where sports trading, quantitative research and software meet. We are a small team of modellers, statisticians and data engineers.

We keep things lean. Evidence settles arguments, not job titles, and we would rather test an idea this week than discuss it for a month. What we aim for is simple: numbers that arrive quickly, are checked carefully, and hold up against the market.

Soccer markets keep changing, with more in-play trading, more data and new venues such as prediction markets. Each change leaves room for a sharper price, and that is the room we work in.

Research

Our modellers study soccer in depth and turn what they learn into numbers your pricing models can use straight away.

Engineering

Software is how our research reaches you. Engineers and modellers sit side by side, so a new idea becomes a dependable daily output without getting lost along the way.

Working with clients

We work directly with bookmakers, trading desks, clubs and funds, shaping data and metrics around the models they already run and staying close as their needs change.

Quants and data engineers who would like to join are welcome to write in.