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NFL analytics expert Cynthia Frelund on building predictive models, weighing data against intuition, being comfortable with being wrong, and where football data is heading.

NFL analytics expert Cynthia Frelund on building predictive models, weighing data against intuition, being comfortable with being wrong, and where football data is heading.

Performance psychologist Tim Harkness, formerly of Chelsea FC, on why fatigue is football’s most misunderstood injury risk and how data should inform decisions.

What the hamstrings are, why they matter for sprinting and jumping, and why the biceps femoris in particular is so prone to injury.

What sports injuries are, the main types, who is most at risk, and why they happen when physical demands exceed what the body’s tissues can tolerate.

Michael Clarkson (Bloom Sports Partners, Sportsmith) on how performance departments have changed, what clubs want from their leaders, and balancing data with people.

Inside FitWise’s validation programme: comparing single-camera 3D reconstructions with Xsens motion capture in Nicosia, and why a discrepancy isn’t always an error.

What computer vision really does in football in 2026: tracking every player, supporting tactics, semi-automated offside and VAR, and measuring how players move.

From Prozone's cameras in the 1990s to Hawk-Eye, DeepMind's TacticAI and F1 broadcasts: how computer vision now shapes training, refereeing and spectacle.

AI analytics are reshaping how tennis players train — ball trajectory and impact, 3D pose models from calibrated cameras, court geometry, and what comes next.

What pose tracking is, how skeleton, contour and 3D body models differ, and what changes when you measure sprints in pro football instead of counting reps.