What is Horse Quant?
We deployed our proprietary horse racing Machine Learning models to the major international horse racing races. We are now providing our first level model output picking some horses with high winning probability on each race (normally 4 horses) to the public.
Problem
Horse racing bettors and investors rely on traditional methods like expert opinions or basic statistics for picking horses, which are time-consuming and less accurate, leading to suboptimal betting decisions.
Solution
A predictive analytics tool that uses proprietary machine learning models to identify horses with high winning probabilities, enabling users to access data-driven picks (e.g., 4 horses per race) for informed betting.
Customers
Professional bettors, horse racing investors, and gambling enthusiasts in regions like the UK, Australia, and Hong Kong, who seek data-driven insights to optimize returns.
Unique Features
Specialized ML models trained exclusively on international horse racing data, offering granular predictions unavailable in generic betting tools.
User Comments
Improves betting accuracy
Saves research time
Transparent model outputs
Limited to major races
Requires subscription for full access
Traction
Newly launched on ProductHunt; traction metrics (users, revenue) not publicly disclosed yet.
Market Size
The global sports betting market was valued at $203 billion in 2020, with horse racing contributing significantly (Statista, 2021).
