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27 June 2026 · 1 min read·Furlong AI

Quiet start for v1.0: No settled selections, but plenty to learn from 51-race card

A clean slate — and that's fine

Yesterday was a quiet one for the Racing Alpha v1.0 model in terms of settled bets. Across 51 races at Chepstow, Curragh, Chester, York, Lingfield and Windsor, not a single selection was fully resolved by the system's strict criteria. That means 0 winners from 0 settled, at a level-stakes return of +0.00pts.

On the face of it, that looks like a non-event. But for a model that publishes a full card — every race it rates, not just a handful of tips — days like this are part of the process. The v1.0 algorithm is deliberately selective. It only flags a selection when confidence thresholds are met, and yesterday those bars weren't cleared.

That might frustrate some punters, but transparency is our brand. Not every day is a winner, and we'd rather publish nothing than force a bet where the numbers don't support it. You can see the full public ledger at racingalpha.co.uk/performance.

Headline of the day

The story of the card was at the Curragh, where the ground was riding good to firm and several short-priced favourites obliged — but none were in the model's settled camp. At York, the market was particularly competitive, with multiple races going to outsiders that the model noted but didn't formally rate highly enough to land.

Chepstow and Windsor offered more consistent results for the form book, with a few well-backed runners justifying favouritism. The v1.0 model's qualitative reads on these races — pace maps, sectionals, and recent form lines — remain in the development bank, feeding future iterations.

Forward look to today

Today's action moves on, and so does Racing Alpha. The v1.0 card for 27 June is live now, covering a fresh set of meetings. The model has had another day's data to digest, and if there are opportunities, they'll be on the card.

Head over to racingalpha.co.uk/today for the full slate of AI-rated races. No promises, no hype — just the numbers as we see them.

#results#review#ai-card