Few sports have seamlessly adapted to the new technology that has become available in the modern era more so than horse racing.
The care that equines have been able to get in the sport has increased dramatically since the introduction of various forms of technology, increasing the welfare as well as training methods available in order to get the very best out of horses.
Tech forms a vital part of day-to-day-life within the sport, with those involved on the Road to the Kentucky Derby being key examples of digital tools being used to get the very best out of a horse. Stats and data will also form important reading before making wagers on the race at Churchill Downs, with speed figures ranking among the principal .
But what digital tools have had a profound impact in terms of influencing race preparation?
Wearable Technology
Wearable technology has been an important trend for human athletes, and that trend has also continued into horse racing.
The majority of equines in training will wear monitors during training and in races, helping trainers to get up-to-the-minute metrics revolving around the heart rate, stride lengths, and recovery rates.
All of these factors will have an important role in terms of getting a better reading of a horse, indicating those that are fully fit and ready to compete and those that are still a few weeks away from their peak performance level.
Having this information enables , which is vital considering that all equines will rely on something slightly different to reach their potential.
Improved Welfare
One of the most important factors that has come due to the data tools being used in horse racing is the improved welfare experienced by horses in the sport. Wearable tech and other data collection systems have the power to identify trends in the numbers that could pinpoint something amiss with a horse.
This could include issues such as an irregular heart rate, which wouldn鈥檛 be visible from the human eye. Catching issues like this quickly ensures that a horse is able to be treated for their setback, and ensuring that equines aren鈥檛 made to suffer with lingering problems for any longer than required.
The metrics can also pinpoint horses that are struggling with fatigue, highlighting to a trainer that a runner should be given time off the track in order to avoid a potential injury. This has played an important factor in the .
Predictive Analysis
As well as data collection tools, Artificial Intelligence is also incredibly important when it comes to understanding the metrics recorded. AI is now used across a wide variety of sectors, and horse racing is no different.
The tech can identify potential changes to a training schedule that could improve the performance level of a horse on track. Algorithms analyzing data such as training logs, past performances, and health records can achieve this.
Furthermore, AI can also be used to make predictive health assessments, using machine learning models to detect impending issues in a horse鈥檚 health. AI can then suggest potential changes that could prevent an issue quickly.
Predictive analysis is also important with big races in mind, as simulation tools can be used by jockeys and trainers to find a suitable tactic that could achieve the best finishing position. This form of AI is also popular among bettors, as the sheer collection of data could be a time-consuming activity.
Data-Driven Decision Making
Horse racing is a sport that revolves around data, with stats dating back generations studied before making breeding decisions. However, humans are typically prone to errors, meaning that AI can be used to assess potential bloodline evaluations.
This will take into account all available progeny records, analyzing the track performance potential, as well as the health concerns that could be found in potential yearlings. Many trainers also rely on digital dashboards in this modern era, with apps such as The Racing Manager and Konekkt regularly used to record training records and diet plans for horses in training.
Track Management
As well as being able to improve a horse鈥檚 life in the stable, data collection tools have also had a profound impact on equine safety on the track. Data can be used to pinpoint potential areas of concern at tracks, enabling bosses to make suitable changes to improve the conditions.
One of the most notable examples of this can be found in the .
Sweeping changes made in 2023 saw the field size reduced from 40 to 34, while the distance between the start line and the first fence was also reduced, ensuring that horses weren鈥檛 running too fast before leaving the ground for the first time.