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Lakers Hub
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Can we really trust AI to predict football outcomes? 5 hidden risks in algorithmic betting models.
As a UCL-trained data scientist raised in Croydon with a Nigerian mother and Scottish father, I’ve built Bayesian models for Premier League win probabilities—but the math doesn’t lie. The real danger isn’t in the numbers; it’s in who trusts them. This piece dissects how algorithmic fairness crumbles when human bias sneaks into the code. Data won’t speak, but those who interpret it will.
Rocket Zone
ai in sports
algorithmic bias
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2 weeks ago
Why Do 90% of Football Predictions Fail? The Hidden Variables Behind the Game
As a UCL-trained data scientist raised in Hackney’s quiet corners, I’ve watched too many victories mislabeled as triumphs. This piece dissects why algorithmic models still miss the soul of football—not because they’re wrong, but because we ignore the human variables: fatigue, intuition, and the unquantifiable rhythm of pressure. Let me show you what really matters.
NBA Draft—NCAA
sports analytics
football prediction
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3 weeks ago
Can We Trust AI to Predict Football Outcomes? 5 Hidden Risks in Algorithmic Bias
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 the most dangerous flaw isn’t the math. It’s who we let decide. When algorithms replace human judgment, fairness vanishes. This piece exposes five overlooked signals in AI-driven sports analytics—and why your trust may be misplaced.
Spurs Hub
ai in sports
algorithmic bias
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1 month ago