RaceNet™ Analysis: The AI Engine Behind Race-AI
How our proprietary neural network delivers consistent 79% success rates on lay betting
At the heart of Race-AI is RaceNet™, our proprietary neural network trained on over 500,000 historical races. Unlike traditional tipsters who rely on gut feeling or basic statistics, RaceNet™ uses advanced machine learning to analyze every aspect of a race in milliseconds.
This article reveals how RaceNet™ works and why it consistently outperforms human experts.
What is RaceNet™?
RaceNet™ is a deep learning neural network specifically designed for horse racing analysis. It combines multiple AI techniques:
Neural Network Core
6-layer deep learning model trained on 500,000+ UK & Irish races from 2015-2025
Feature Extraction
Analyzes 1,000+ data points per race including form, pace, jockey stats, trainer patterns, course history
Probability Modeling
Calculates true win/place probabilities and compares against market odds to find value
Real-time Updates
Continuously learns from each race result, improving accuracy with every day
How RaceNet™ Analyzes Each Race
1Data Collection
RaceNet™ ingests race data from multiple sources: official form, Racing Post, Betfair markets, historical databases. This includes horse form, trainer/jockey statistics, course conditions, weather, and market movements.
2Feature Engineering
The AI creates 1,000+ unique features from raw data:
- Pace ratings and early/late speed indicators
- Course-and-distance form (last 3 years)
- Trainer win rate in similar race conditions
- Jockey-trainer combinations performance
- Going preference and surface suitability
- Class adjustments and race grade difficulty
3Neural Network Processing
Features flow through 6 hidden layers, each identifying complex patterns. The network learns non-linear relationships that humans can't spot - like how a specific trainer performs with 5yo horses on soft ground in handicaps.
4Probability Output
RaceNet™ outputs a win probability for each runner (e.g., 18.5% chance of winning). It compares this to market odds to identify value.
5Lay Selection
When a horse's market price is significantly shorter than its true probability (overvalued), RaceNet™ flags it for laying. Only selections with 75%+ confidence are recommended.
RaceNet™ Advantages Over Traditional Methods
Traditional Tipsters
- • Analyze 10-20 factors manually
- • Biased by recent performances
- • Can't process all historical data
- • Emotional decisions
- • Slow to adapt to new patterns
- • Win rate: 20-30%
RaceNet™ AI
- • Analyzes 1,000+ factors per race
- • Weights all data mathematically
- • Trained on 500,000+ races
- • Zero emotion, pure statistics
- • Learns daily from new results
- • Win rate: 79% (lay betting)
Proven Track Record
12-Month Performance (Oct 2024 - Oct 2025)
This consistent performance across different market conditions (soft ground, firm ground, flat, jumps, handicaps, graded stakes) proves RaceNet™'s versatility.
Continuous Learning & Improvement
Unlike static tipster systems, RaceNet™ learns from every race. Each evening, the AI retrains on the day's results:
- ✓Result Integration: Winning/losing selections update the model weights
- ✓Pattern Detection: New trainer trends, jockey form, seasonal patterns identified
- ✓Market Adaptation: Learns how bookmaker odds correlate with actual outcomes
- ✓Accuracy Tuning: Fine-tunes confidence thresholds to maximize profitability
This is why RaceNet™ gets better over time - it's constantly evolving based on real-world results.
Experience RaceNet™ Yourself
RaceNet™ is not just theory - it's a proven AI engine delivering daily selections to Race-AI members. With 79% success rate on lay betting and continuous learning, it's the most advanced racing AI available.
Start your 7-day free trial and see RaceNet™ in action on today's races.