Stats Perform

The parent company of Opta data, one of the world's largest sports-data and AI suppliers

Contact for pricing United Kingdom

Stats Perform is a giant in the sports-data industry, and its Opta is the data brand most often cited by global sports media. It does data collection, AI prediction models, and content auto-generation all at once, serving media, teams, and the betting industry.

Features and use scenarios

Its business covers real-time and historical data for dozens of sports, and on top of that layers AI applications: match-result prediction, player-performance evaluation, and auto-generation of match text reports and video highlights. For media, it's the source of those "the 3rd player this season to achieve this record" trivia; for teams, it's the data foundation for scouting and opponent analysis.

It suits sports media, league operators, teams' analysis departments, and sports-betting operators. If Taiwan's sports news wants to shed the "post-match play-by-play" writing style, this kind of data service is key infrastructure, but the licensing cost is usually only affordable to larger media groups.

Main features

Opta multi-sport real-time and historical data
AI match-prediction models
Auto-generation of match reports and highlights
Player- and team-performance evaluation tools
Data-visualization components for media

Common uses

Sports-media data content
League official data services
Team opponent analysis
Sports-betting odds models

Key Features

Opta multi-sport real-time and historical data
AI match-prediction models
Auto-generation of match reports and highlights
Player- and team-performance evaluation tools
Data-visualization components for media

Pros

One of the suppliers with the broadest sports coverage
Long data history, allowing long-term trend analysis
Mature media-side integration tools

Cons

High enterprise licensing fees
Data use strictly restricted by contract
A vast product line; procurement needs clear requirements

Use Cases

Sports-media data content
League official data services
Team opponent analysis
Sports-betting odds models

Editor's Note

Those numbers you see in the bottom-right of a broadcast are mostly from this company. The sports industry's data infrastructure is more concentrated than most people imagine.

FAQ

Can individual researchers obtain the data?

The official model is mainly enterprise licensing; individual research usually can't procure directly. To practice sports-data analysis, it's advised to start from public datasets or academic-collaboration channels.

Can AI-generated match reports be published directly?

Technically yes, but in practice they're mostly used for fixed-format content like match quick-reports. In-depth reporting with perspective and on-site feel still needs reporters.