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Can we really trust AI predictions in football? 5 overlooked risk signals from a Bayesian model
As someone who built a Bayesian football win predictor at a UK sports analytics startup, I’ve seen how algorithms misread human intuition. Data doesn’t lie—but the people interpreting it often do. This piece exposes five silent risks in AI-driven match forecasting, rooted in my Croydon upbringing and the quiet tension between code and humanity.
NBA Draft—NCAA
sports analytics
bayesian model
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1 month ago
Can we really trust AI to predict football outcomes? 5 hidden risks in algorithmic fairness
As a UCL-trained data scientist raised in Croydon with a Nigerian mother and Scottish father, I’ve built Bayesian models for football prediction—yet I still question whether algorithms truly understand the human game. Data doesn’t lie, but those who interpret it often do. This is not about automation. It’s about accountability. Here’s what the model won’t tell you.
Lakers Hub
bayesian modeling
ai football prediction
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1 month ago