Data regarding the outcome of greyhound races held at a specific southern racing venue provides information on winning dogs, their times, and other race-related statistics. This data may include the finishing order of all competing dogs, the odds offered prior to the race, and details about the race itself, such as distance and track conditions. For example, a typical dataset might show that in a 550-yard race, dog number three, “Swift Arrow,” won with a time of 30.2 seconds at odds of 5-to-1.
Access to this type of data is vital for a range of stakeholders. Bettors rely on past performance to inform their wagering strategies, while owners and trainers utilize the information to assess their dogs’ form and adjust training regimens. Historical race data also plays a crucial role in the broader context of the sport, allowing for the tracking of lineage, performance trends, and the overall health and competitiveness of the greyhound racing industry. Furthermore, this information can be used to identify potential areas for improvement in track management and animal welfare.
