John leads PlayIQ's sport, data and market operations, combining football expertise with deep experience in game theory and high-stakes decision-making.

After earning an MBA in Cambridge, he worked in football management and spent years as a professional poker player and sports bettor — a background that shapes how he thinks about probability, strategy and tactical behaviour on the pitch.

At PlayIQ, he's focused on decoding football through AI and giving clubs real-time intelligence they can actually use.

Favourite football insight:
The best teams control space, not just the ball.

Favourite football team:
Fyllingen & SK Brann

Andreas leads technology, product and tech-operations at PlayIQ, overseeing the development of the company's AI-driven football intelligence platform.

A civil engineer by education from the University College of Bergen, Andreas brings over a decade of experience in building and scaling companies in the sports-data space. In 2013 he founded Scout Gaming Group, which became Europe’s leading real-money fantasy platform. Deeply passionate about bridging the gap between sports and technology.

Favourite football insight:
It's what happens off the ball that decides the game.

Favourite football team:
SK Brann & Fyllingen

Derek leads PlayIQ's commercial strategy, partnerships, & club engagement, helping professional football organisations adopt advanced AI-driven match intelligence to gain edge on the pitch.

A CIMA-qualified finance and commercial leader, Derek brings over two decades of senior experience across the UK and Norway. Known as a trusted advisor to boards and CEOs, he brings structure, clarity, and commercially grounded decision-making to fast-moving environments, with a strong belief in how data, technology, and football intelligence can elevate performance and help clubs make smarter strategic choices.

Favourite football insight:
Data tells you what happened – intelligence tells you what it means.

Favourite football team:
Millwall FC

Torbjørn is CTO at PlayIQ, working closely with the team to shape the company’s AI-driven football intelligence platform across front- and backend services

Before PlayIQ, Torbjørn worked on designing, building, and launching sports games for world-leading gambling brands and major media houses, giving him a deep understanding of both the technical and commercial realities of sports products at scale.

Favourite football insight:
Identifying patterns between events tells you more than any single moment in the game.

Favourite football team:
SK Brann

Maxi is a Football Intelligence Advisor at PlayIQ, where he helps validate and shape the company's strategic direction from a coach's perspective.

He brings extensive experience from his coaching career, holding coaching badges in Norway and further developing through coaching and studying the game in Italy. Most recently, he served as Head Coach of FK Fyllingsdalen.

Maxi is a strong advocate for the shift from traditional statistical data to dynamic, real-time insights—an evolution he believes will fundamentally transform how coaching staffs prepare, and make in-game decisions in the years ahead.

Favourite football insight:
The smartest insights come when numbers and context speak the same language.

Favourite football team:
SK Brann

Øystein leads PlayIQ’s machine learning initiatives, working across the platform to design, implement, and refine the systems that power model inference and core match intelligence. With more than a decade of experience in sports-focused software development, he has a deep understanding of how technical architecture, modelling, and football knowledge come together to create meaningful insights.

Before joining PlayIQ, Øystein spent over 10 years at Scout Gaming Group, where he developed and architected internal developer frameworks and tools used across the organisation. His work enabled large-scale sports and gaming products to be built more efficiently, combining fullstack engineering with careful system design.

At PlayIQ, he plays a key role in shaping the core intelligence layer — ensuring that machine learning models, pipelines, and integrations operate seamlessly and reliably to support analysts, coaches, and clubs.

Favourite football insight:
Patterns emerge long before they become visible on the pitch.

Favourite football team: FK Haugesund

Nikhil leads PlayIQ’s post-processing and data transformation efforts, ensuring that complex model outputs are refined into structured, accurate, and actionable football intelligence. As a senior fullstack engineer, he works across the full product stack, from backend pipelines to integrations and internal tools.

He previously spent several years at Scout Gaming Group, where he played a key role in developing new sports games and sportsbooks from the ground up. His work included building fullstack features, integrating external data providers, and ensuring that systems could scale across world-leading gambling operators and major media houses.

At PlayIQ, Nikhil is responsible for the pipelines that sit between raw inference and final insight — connecting events, smoothing logic, and turning datapoints into understanding. He works closely with PlayIQ’s football analysts to implement and refine mathematical models, ensuring that post-processing reflects real match dynamics and supports high-quality, context-rich analysis.

Favourite football insight:
Turning data into clear information is where real understanding begins.

Favourite football team:
SK Brann