Data scout and recruitment analyst specializing in identifying undervalued talent using advanced metrics like xG and packing data. He helps clubs transition from traditional scouting to data-driven decision-making models.
Luca Kovic is a pioneer in the field of football analytics, having transitioned from a background in data science to heading recruitment departments for innovative mid-table clubs. He specializes in building bespoke algorithms to identify transfer targets that fit specific tactical profiles, such as pressing forwards or ball-playing goalkeepers. Luca's articles demystify complex metrics like Expected Goals (xG) and PPDA (Passes Per Defensive Action), explaining how they are used to minimize risk in the transfer market. He writes for scouts, technical directors, and fans who want to understand the mathematical reality behind player performance and team efficiency.