Technology vs Intuition

A concrete minute of machine analysis broken down second by second, the infrastructure behind it, reaction times to team news — and what speed cannot fix.

The named techniques that keep bias out of a model — held-out validation, regularisation, class balancing, ensembling — and the bias that survives anyway, in the data.

How bias, recency and consensus distort expert forecasts, what an algorithm removes, and the failure mode algorithms bring with them instead.

Capacity, memory, speed and consistency compared honestly — where machine analysis of sport genuinely beats human analysis, and the part it still cannot do.