Radnor Hills Water Mares' Novices' Hurdle (GBB Race)
Ludlow · 14:17 (UK local)
Sunday, 10 May 2026
1m 7f 169y
Distance
Turf
Surface
Good (Good to Firm in places)
Going
8
Runners
Prize: £10,000 added
AI Top 3 Picks
First Candidate
J: Harry Skelton · T: D Skelton
Represents a top stable and jockey combination, often a strong indicator in Mares' Novices' Hurdles. Expected to be well-schooled and ready for a good debut over hurdles, likely possessing the necessa…
Bits Ballou
J: Thomas Bellamy · T: N & W Twiston-Davies
From another leading yard, suggesting good preparation and potential. Should appreciate the sharp Ludlow track if possessing natural speed and accurate jumping.
Silvereen
J: Sam Twiston-Davies · T: H D Daly
Has the benefit of a top jockey and comes from a stable that can ready one for a good performance. Could show significant improvement on previous efforts over obstacles.
Model confidence: 25% · capped at 50% for racing's structural variance
Full Racecard (8 runners)
| # | Draw | Horse |
|---|---|---|
| 2 | — | ②Bits Ballou |
| 4 | — | Dame In Disguise (IRE) |
| 5 | — | Enya (GER) |
| 6 | — | Peace Of Amaron |
| 7 | — | ③Silvereen |
| 1 | — | ①First Candidate |
| 3 | — | Briery Rose |
| 0 | — | Service Minimum (FR) |
Wgt = weight (st-lb) · OR = official rating · PR = Sky Sports power rating · HG = headgear (b/v/cp/t/h/p) · Last = days since last run
Key Race Factors
- •Strong trainer/jockey combinations are often key in novice races.
- •Ludlow's sharp, right-handed track favors speedy and accurate jumpers.
- •Potential for improvement from unexposed mares in a GBB Race.
- •Small field of 8 runners can lead to a more tactical race.
Risk Assessment
- •Lack of specific form data for many runners makes predictions highly speculative.
- •Novice hurdles are inherently unpredictable with many unexposed horses making their debuts or early starts.
- •Going conditions are yet to be published, which can significantly impact performance on any track.

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How These Predictions Work
These predictions are AI-generated using current racecard data and search-grounded analysis. Horse racing is structurally high-variance — even the most-favoured horse wins only ~30–35% of races. Use AI predictions as one input among many, alongside your own form study and trusted tipsters. Bet responsibly.