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Historical US Horse Racing Performance Data
Data Science and Analytics
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About
The data contains entries for 627 horses that competed in the Triple Crown events during the covered timeframe. It is structured into files detailing race performance and a dedicated file tracking event conditions. The track conditions log contains 45 records, representing each specific race event held between 2005 and 2019.
Usage
This dataset is highly valuable for several analytical applications, including:
- Developing predictive models to forecast future race outcomes.
- Conducting detailed data visualisation exercises using performance statistics and environmental variables.
- Investigating the hypothesis that adverse track conditions may increase the probability of a horse with low odds of winning.
Coverage
The scope is strictly limited to the results and conditions of the three races that constitute the Triple Crown: the Kentucky Derby, the Preakness Stakes, and the Belmont Stakes. The temporal coverage is focused on the period from 2005 to 2019. Geographic coverage is limited to the locations of these annual races within the United States.
License
CC0: Public Domain
Who Can Use It
- Machine Learning Engineers: For training models based on historical betting odds and environmental features.
- Data Visualisation Specialists: To illustrate trends in attendance, temperature variability, and racing outcomes over time.
- Betting Analysts: To back-test strategies based on track condition variables.
Dataset Name Suggestions
- Triple Crown Horse Race Results and Conditions (2005-2019)
- Historical US Horse Racing Performance Data
- Kentucky Derby, Preakness, and Belmont Stakes Outcomes and Meteorology
Attributes
Original Data Source: Historical US Horse Racing Performance Data
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