Track Record and Evidence

Collaborative filtering, propensity models and session analysis decide what you see — and the conflict built into optimising for engagement rather than interest.

Anomaly detection, behavioural analysis and network graphs in operator risk systems — what they catch, and what a published price actually encodes as a result.

Incremental training, drift detection and automated validation — how a model keeps pace with a changing sport, and the risks of a system that rewrites itself.

SHAP, LIME and attention methods turn a black-box forecast into an argument you can check — and the four ways an explanation can still mislead you.