A sportsbook trading course covering how a modern trading function prices markets and manages risk. It explains the roles in a trading team and the shift from manual compiling to model-driven pricing, converting between odds formats and implied probability, calculating overround and margin, removing margin to recover a fair price, liability and risk positions and why balancing the book is rarely optimal, why multiplying odds works for accumulators but not same-game bet builders, in-play pricing and the sports data supply chain where latency creates exposure, customer risk profiling and how sharp and recreational bettors are told apart, and integrity monitoring and the manipulation risks different markets carry.
Written for traders, risk analysts and product managers at sportsbooks and B2B providers, and for anyone who needs to understand how prices are made.
A proposed class action filed in Boston accuses DraftKings of using customers' data to find the gamblers most likely to lose, then sending them more offers, in breach of its own privacy promises. It leans heavily on the New York Times investigation, and DraftKings says it does not use AI that way.
The Massachusetts Gaming Commission has told its staff to question DraftKings over the New York Times investigation and to survey how every licensed sportsbook uses AI and machine learning. It has not found wrongdoing, and any rule-making would come later.
Seven horseplayers say computer-assisted wagering has turned American pari-mutuel pools into an illegal gambling operation. The tracks and tote companies say the bettors cannot point to a single wager the syndicates affected, and a hearing is reported for 9 October.