Beating the bookies with their own numbers - and how the online sports betting market is rigged
Lisandro Kaunitz, Shenjun Zhong, Javier Kreiner

TL;DR
This paper presents a strategy that exploits the implicit probability information in betting odds to consistently beat football bookmakers, demonstrating market inefficiency through extensive simulations and real-world betting.
Contribution
The authors develop and validate a novel betting strategy that leverages odds-based mispricings, showing consistent profitability and exposing market inefficiencies.
Findings
The betting strategy was profitable over 10-year and 6-month simulations.
The approach yielded real-money profits during a 5-month live betting period.
Bookmakers' odds contain exploitable mispricings indicating market inefficiency.
Abstract
The online sports gambling industry employs teams of data analysts to build forecast models that turn the odds at sports games in their favour. While several betting strategies have been proposed to beat bookmakers, from expert prediction models and arbitrage strategies to odds bias exploitation, their returns have been inconsistent and it remains to be shown that a betting strategy can outperform the online sports betting market. We designed a strategy to beat football bookmakers with their own numbers. Instead of building a forecasting model to compete with bookmakers predictions, we exploited the probability information implicit in the odds publicly available in the marketplace to find bets with mispriced odds. Our strategy proved profitable in a 10-year historical simulation using closing odds, a 6-month historical simulation using minute to minute odds, and a 5-month period during…
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Taxonomy
TopicsSports Analytics and Performance · Gambling Behavior and Treatments
