Horse racing is one of the most commercially successful sports on the planet, with multi-million dollar purses on offer in major Grade Ones throughout the year.
With the fact that it includes a high amount of risk. Trying every possible way to bring the best results out is important. As a result, many betters are now utilizing data to make their decisions more effective and fact-based.
Data analytics do not replace the institution, they simply support it with previous races, results and their impacts. This way, it becomes a crucial aspect to consider before analyzing the betting odds at https://www.twinspires.com/kentuckyderby/.
Read more to discover how data analytics, being the next frontier, affects horse racing analysis.
Key takeaways
- Data analytics is helping to result in better opinions about the horse racing sport.
- Data is also helping to share the risk aspects of the track and boost safety in sports.
- Previous decisions are now impacting the betting strategies and making decisions a mix of data and experience.
Performance Optimization
Trainers have turned their attention toward using data analytics to ensure that the horses within their care are able to reach their peak. Wearable sensors are commonplace within the sport in this modern day, with the tech able to trace heart rates, stride patterns and blood flow, both pre and post-training.
This news is useful for a trainer to verify that they are following the right plan to fit the needs of their horse.
Having this data is also useful in telling a trainer to change plans if horses are slowing down or not training at their maximum, both of which could have a harmful impact on their chances in a big upcoming race.
It can also help connections to uncover horses that are training too easily ahead of a big race, aiding a trainer to increase workload. Also, to make sure that a runner is at an optimal level of fitness to perform to their best standard.
Improved Welfare
Wearable technology has also had a severe impact on the welfare enjoyed by equines in the sport. Trainers having the key information related to their horses on devices helps to pinpoint potential issues quickly, which can help horses, get the care that they need immediately.
It has also helped improve welfare in the sport by picking up potential issues before they become more serious. Finding lameness and niggles that a horse is feeling can allow trainers to get treatment to ensure that more serious issues can be avoided.
Having access to data such as stride patterns and heart rates also help trainers to identify horses that are fatigued, meaning that training plans can be reduced, and equines can be given extra time to recover before their next race targets.
As always in horse racing, nothing is more important than the welfare of the equine, and technology has made it easier than ever to spot minor issues before they become more severe.
Breeding
As well as improving the life of horses currently in training, data analytics can also improve the lives of horses that haven’t even been bred yet. AI and data collection are being used freely to help the breeding industry, taking in millions of pieces of data before safely giving feedback surrounding pending issues with a likely offspring.
AI is key to this process in the modern day, with the technology able to analyse millions of breeding combinations, using data collected across 25 generations to identify the perfect match.
Importantly, using AI has helped reduce inbreeding within the sport, with genomic data allowing for true calculations of DNA rather than an overreliance on potentially flawed pedigree records.
Furthermore, using data analytics in the breeding process can also have a huge impact on the welfare of potential offspring, as the tech can identify potential health challenges that could have contributed to past generations.
These can then be dismissed in order to only produce horses that are able to enjoy longer and healthier lives, both during their racing career and also long after they have retired from the track.
Improving Track Safety
Data analytics has had a profound impact on the safety at racetracks, improving the experience for both horse and jockey, as well as those attending the course. The tech is able to take into consideration historical pieces of data, pinpoint areas of concern that should be looked after by ground staff.
As well as this, data analytics can also give suggestions surrounding various areas of the track that may be ideal for upgrades. Biometric data can be used to help identify risks to horses, with track bosses able to make decisions surrounding starting points and rail positions.
A big example of this came in October 2023, as changes to the world’s most famous race were announced. It was decided by organizers that the Grand National should be made safer, which saw a reduction in the amount of distance covered before the first fence on the circuit, and a decrease in the number of horses starting the race.
While the broad changes weren’t met with positive feedback by passionate fans, the results on the track have seen a lower number of fallers.
Conclusion
Data analytics is not here to replace human prediction and institutions. Professionals still use their experience. Just the change has been brought, they rely more on the predictions that are supported by the facts of data analytics.
As every sport has many connections with its previous matches and their results, the same is with the horse racing. And the same has been extracted through data analytics.
In the end, the goal is not just better results, it’s a better sport with more engagement for everyone.
FAQs
It involves the game by providing aspects that are based on previous races and data. This results in better panning.
Hidden aspects such as the heart rate of horses, their speed and recovery are measured.
Yes, even though it is now widely used to predict risks and improve conditions from the past.
