Beyond the Stopwatch

A horse's final time in a race is notoriously misleading. Two horses running the exact same time on different days, or even different hours of the same day, could represent entirely different levels of ability. Factors such as track variant, weather conditions, pacing, and headwind all distort the raw time on the stopwatch.

Traditional speed figures attempt to adjust for these variables, but they are often calculated manually by human handicappers who establish a "par" time for a given class of horses. This method is slow, subjective, and prone to error.

The Algorithmic Approach to Speed

At Equine Intel, our models do not rely on subjective pars. Instead, our Artificial Intelligence uses a dynamic, data-driven approach to calculate speed figures. By analyzing every race run on a specific day at a specific track, the algorithm establishes a precise track variant that accounts for shifting ground conditions, wind speed, and even rail placement.

Furthermore, our models incorporate fractional and sectional times. A horse that runs a slow overall time because the early pace was a crawl, but finishes the last two furlongs in record speed, is flagged by our system as a high-potential performer. Traditional handicappers looking only at the final time will completely miss this underlying ability.

Projecting Future Performance

The true power of AI-generated speed figures lies in their predictive capacity. Our models don't just tell us how fast a horse ran in the past; they project how fast the horse is likely to run today under the specific conditions of the upcoming race. By cross-referencing a horse's historical speed figures with the expected going, pace scenario, and distance, our system outputs a highly accurate projected speed figure, allowing you to quickly identify the true contenders.