About Oddigo

Football intelligence built around data, not guesswork.

Oddigo is a football intelligence platform built by Liam Unsworth, designed to make player-prop analysis easier to understand and more transparent.

I have a BSc in Computer Science and an MSc in Computing & Information Systems, and built Oddigo by combining software engineering, football data and statistical modelling.

The idea behind Oddigo came from a simple problem: there is a huge amount of football data available, but turning that data into something genuinely useful when analysing player markets is difficult.

Analysis Layer

Turning football data into explainable market context

Oddigo brings football data together and evaluates signals that matter when analysing player-prop markets. The aim is not simply to generate betting tips. It is to provide an explainable intelligence layer that helps users understand why a player or market may be interesting.

Player performance and historical rates

Expected involvement and minutes

Opponent and team context

Referee tendencies

Market prices

Model probability

Bookmaker implied probability

Potential market edge

What Oddigo is

Oddigo is a football statistical analysis and decision-support platform. Its models estimate probabilities using available football data and compare those probabilities with bookmaker markets.

Features such as Opportunity Rating, confidence indicators and market edge are designed to make those calculations easier to interpret.

What Oddigo is not

Oddigo does not guarantee results or winning bets. Football remains unpredictable and statistical models will always be uncertain.

Predictions should be treated as analysis rather than guaranteed outcomes or financial advice.

Model Standards

How Oddigo approaches modelling

Transparency

Where possible, users should be able to understand the factors influencing a prediction.

Calibration

A probability should mean what it says. Model performance should be assessed over large samples rather than individual wins or losses.

Tracking

Predictions and outcomes should be measured so the models can be evaluated and improved over time.

Market awareness

Bookmaker prices are treated as useful information. Oddigo compares model probability with implied market probability to identify possible discrepancies.

Continuous improvement

Models should improve from tracked performance and better data rather than being adjusted after individual results.

Responsible Use

Analysis is one input, not a certainty

Oddigo should be used as one source of information when analysing football markets. No model removes risk and users should never stake money they cannot afford to lose.

Read the full betting disclaimer for more detail on responsible use and prediction uncertainty.

Responsible gambling resources

Football Intelligence

Explore the product with the same context in mind: probabilities, confidence and market edge are analysis tools, not guarantees.

Open Oddigo