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Conor McCarthy

Data-Driven Casino Tester & Platform Analyst

About Conor

Conor McCarthy approaches casino reviews the way an engineer approaches a system test — with structured data, controlled variables, and no room for guesswork. Based in Cork, he has spent the past six years building one of the most comprehensive casino testing databases available, logging over 300 platforms with real-money deposits and documented withdrawal timings.

Before turning to casino analysis, Conor worked as a data analyst for a fintech startup in Dublin, where he built dashboards and automated reporting systems for payment processing metrics. That experience directly shaped his casino review methodology: every claim is backed by timestamped data, every withdrawal is timed to the minute, and every bonus is calculated for its real expected value.

His testing process is deliberately systematic. He deposits a fixed amount using multiple payment methods, plays a standardised set of games, and requests full withdrawals — all documented with screenshots and timestamps. This consistency allows direct comparison between casinos that most reviewers cannot offer because they rely on subjective impressions rather than structured testing.

Conor holds a BSc in Computer Science from University College Cork and a Professional Diploma in Data Analytics from Dublin Business School. He maintains a personal database of casino metrics updated quarterly and uses statistical analysis to identify trends in payout reliability, bonus generosity, and platform performance over time.

Outside of casino testing, Conor contributes to open-source data projects and maintains a keen interest in sports analytics, applying similar quantitative methods to both pursuits.

Review Methodology