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ℹ️Horse racing intelligence — not a tipping service. These are today's top AI-scored picks — ranked by model confidence, not by us. We don't give betting advice. See how each AI variant works →

Racing on Sunday 25 October 2026 covers 4 meetings and 30 races across Britain and Ireland: Galway, Wexford, Aintree and Market Rasen. The Racing Formula gives every runner in every one of those races an AI Score, free and without a paywall. The day's highest AI Score is Moore Brion (83.3), trained by Olly Murphy, running in the 13:00 at Market Rasen — a Class 4 2m125y contest on Good To Soft going against 11 rivals. Next highest are Lady Jetfire (78.2) in the 16:05 at Aintree and Don Dandy (77.8) in the 13:35 at Market Rasen. Scores come from machine-learning models built on form, pace, pedigree and sectional timing data, and never from live exchange prices. Every runner also carries a pace map, GPS sectional data, trainer and jockey form, and full pedigree detail, so the reasoning behind a score can be checked rather than taken on trust. Profit and loss for every scoring variant is published daily, losing runs included. This is data and analysis, not betting advice.

Data generated

  1. Moore Brion (AI Score 83.3), trained by Olly Murphy — 13:00 at Market Rasen
  2. Lady Jetfire (AI Score 78.2), trained by Jamie Snowden — 16:05 at Aintree
  3. Don Dandy (AI Score 77.8), trained by Olly Murphy — 13:35 at Market Rasen
  4. Soul Asylum (AI Score 77.1), trained by Gordon Elliott — 14:35 at Wexford
  5. B U Train (AI Score 77.1), trained by Declan Queally — 16:40 at Wexford
  6. Clos Du Mouche (AI Score 75.6), trained by Olly Murphy — 16:23 at Market Rasen
  7. Brace For Landing (AI Score 75.5), trained by Dan Skelton — 13:15 at Aintree
  8. Western Monkey (AI Score 74.3), trained by Harry Derham — 12:40 at Aintree
  9. Baymount (AI Score 72.8), trained by Anthony Mullins — 16:10 at Wexford
  10. Wise Maiden (AI Score 72.8), trained by T Ellis — 16:05 at Aintree

What this list actually is

Today's Predictions

Top 10 AI picks ranked by model confidence score
🤖 How We Pick: Picks are ranked by the AI Score from our flagship machine-learning model, which weighs well over a hundred inputs per runner: ratings, recent form, class, course, distance and going records, speed figures, trainer and jockey form and, on the flat, the draw, pace and pedigree. The runner's own price is not an input to the model. Every pick is settled against official results and tracked openly — win or lose. It's a ranking, not a profit promise.

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