📊 How My Sectional Algorithm Finds Value Others Miss 🏇

Hi all – I’ve had a few people ask how my reports consistently highlight value runners and winners, so here’s a breakdown of how the algorithm works.

I created a model that analyses Final 3F (furlong) sectionals and overall time efficiency – two data points often underused in daily racecards.

Here’s the step-by-step:

🔍 1. Final 3F SectionalsThis measures how efficiently a horse finishes compared to the field. Horses with the ability to accelerate late (especially on standard or soft ground) are gold – particularly in handicaps.

🧠 2. Fastest Time RatingNot just raw speed, but contextual race time. The algorithm adjusts for class, course layout, going, and pace. Horses with strong figures here are highlighted for their adaptability and race efficiency.

⚖️ 3. Combined Efficiency ScoreI blend the 3F sectional with the fastest time to produce a 'race efficiency index'. This identifies runners who are most likely to outperform their market odds based on historical patterns.

🔺 4. Filters Applied

Going bias
Number of runners
Track specifics (tight vs galloping)
Draw when relevant
Recent race freshness

🏆 The result?Horses like Bowman (14/1) and Pessoa (9/2) were flagged early due to standout sectionals and adjusted times – even though the market didn't price them as favourites.

💬 Want to see the full reports, spreadsheets, and daily sectional summaries?

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