12 years of experience in quantitative sports betting, value identification, and football modelling. Specialises in expected value frameworks and staking system design.
James spent a decade developing and testing quantitative betting systems before joining OddsAcademy as Strategy Editor. His background is in applied mathematics and statistical modelling — he built his first Poisson football model as a graduate student and has been refining betting frameworks professionally since 2014.
His primary focus is on identifying edges in systematically underpriced markets, particularly lower-division European football, ATP Challenger tennis, and niche Asian handicap lines. He is a long-term Pinnacle user and was an early adopter of Betfair's exchange when it launched automated API access.
At OddsAcademy, James writes and edits all strategy and methodology content. His guiding principle: every claim on this site should be verifiable with mathematics or cited data. He does not write tips or predictions — only frameworks and methods that readers can apply to their own analysis.
All strategy content is reviewed for mathematical accuracy before publication. Claims are backed by worked examples or cited primary research. No predictions or tips — only frameworks.
How to find and place positive expected value bets systematically.
Fixed stakes, Kelly Criterion, and proportional betting explained.
Optimal stake sizing using the mathematics of long-run bankroll growth.
Calculate the EV of any bet and systematically find +EV opportunities.
Find and execute guaranteed profit opportunities across bookmakers.
How overround works and why it matters for every bet you place.