About me

I am Marc Lamberts, a football data analyst and recruitment researcher specializing in building proprietary algorithmic models, advanced player profiling, and cross-border recruitment strategy.

Operating at the intersection of mathematical modeling and elite scouting, my work focuses entirely on transforming multi-billion row event datasets into contextualized pitch solutions. I research and design custom statistical engines targeting player developmental trajectories, transfer efficiency, structural team setups, and predictive game states.

Through Waltzing Analytics, independent whitepapers, and international media publications, I provide deep-dive documentation on sophisticated analytics frameworks—including Hidden Markov Models for save-rebound sequences, Aerial Spatial Impact Rating (ASIR), and specialized models tracking territory gained via passing versus progressive carries.

My background includes leading recruitment infrastructure design, opposition analytics pipelines, and dead-ball tactical packaging across several professional environments in both the men's and women's global game.