Our AI Technology

Discover how our advanced artificial intelligence predicts race outcomes with industry-leading accuracy.

How Our AI Makes Predictions

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Machine Learning Core

Our proprietary neural network analyzes historical race data and continuously improves its prediction capability through reinforcement learning.

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Statistical Analysis

Sophisticated statistical models identify patterns and correlations in racing data that humans might miss.

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Real-Time Processing

Our system updates predictions every 30 minutes to incorporate late scratches, weather changes, and betting market movements.

Data Points Analyzed

Our AI processes thousands of data points for each race. Here are some of the key variables that influence our predictions:

Horse Factors

  • Performance History
  • Days Since Last Run
  • Track Condition Preference
  • Stamina Metrics
  • Distance Adaptability

Race Conditions

  • Track Condition
  • Track Profile
  • Race Distance
  • Barrier Position
  • Race Class

Human Factors

  • Jockey Record
  • Horse-Jockey Partnership
  • Trainer Statistics
  • Trainer Form

Market Indicators

  • Market Movements
  • Betting Patterns
  • Irregular Betting Detection

Prediction Accuracy

36%

Win Rate

Industry average: 29%
61%

Place Rate (Top 3)

For high confidence predictions
73%

Performance Score

Internal metrics vs baseline

Note: Past performance is not a guarantee of future results. Our system continuously improves but racing outcomes always involve an element of unpredictability.

Frequently Asked Questions

How often are predictions updated?

Our predictions are updated every 30 minutes to account for scratches, jockey changes, weather conditions, and betting market movements.

What makes your AI different from other prediction systems?

Unlike traditional systems that rely heavily on past form, our AI utilizes deep learning to identify subtle patterns across thousands of variables. It particularly excels at identifying value opportunities where horses are underrated by the market.

How are confidence levels calculated?

Confidence levels represent the AI's certainty in its prediction based on the quality and consistency of data available. Higher confidence typically means more stable variables and clearer patterns in the data.

Do you offer API access to your prediction data?

Not currently, but we're developing an API for select partners. If you're interested in enterprise-level access to our prediction data, please contact us.

Ready to see our AI in action?

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