As a London-born, Oxford-educated basketball data analyst with Nigerian roots, I’ve spent two decades decoding NBA draft trends through Python-driven models. This isn’t fantasy—it’s forensic. In this report, I reveal why Thomas Souball could be selected in the top 20 picks—not by hype, but by defensive versatility and spatial efficiency. Cold metrics. Sharp visuals. No drama. Just patterns.