🐎Horse RacingClass 4Race Completed

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Thirsk · 16:15 (UK local)

Sunday, 31 May 2026

5f

Distance

Turf

Surface

Good (Good to Firm in places)

Going

13

Runners

Prize: £24,000 added

AI Top 3 Picks

P1 pick28%

Mighty Magnus (IRE)

J: Connor Beasley · T: M Dods

Trainer M. Dods excels with sprinters, and Connor Beasley is a strong jockey booking. This horse shows potential for improvement in a competitive handicap.

P2 pick22%

Here Forever

J: Callum Rodriguez · T: T D Barron

T.D. Barron often targets Thirsk effectively, and Callum Rodriguez is a capable rider. This horse has shown glimpses of ability that could be unlocked here.

P3 pick18%

Ambishio (IRE)

J: R Havlin · T: M Appleby

M. Appleby's runners are always respected in handicaps, and R. Havlin is a top-tier jockey. Could be well-handicapped and ready to improve.

Model confidence: 35% · capped at 50% for racing's structural variance

Full Racecard (13 runners)

#DrawHorse
11Dazzling Haze
25Go Vince Go (IRE)
33Kinnalargy
49Here Forever
511Big Fun (IRE)
64Noble Vow (IRE)
72Mighty Magnus (IRE)
810Ambishio (IRE)
1012Straight Ahead
117Sands Of Josepi (IRE)
126Explosive Finnish
1313Under The Radar (IRE)
98Henrythenate

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

  • Competitive field of 13 three-year-olds in a Class 4 handicap.
  • Contradictory draw bias at Thirsk over 5f, with conflicting reports on high vs. low draw advantage.
  • Draw bias potentially negated on soft ground, but official going is yet to be published.
  • Crucial importance of official going for sprint races at this track.

Risk Assessment

Variance levelhigh
  • Large field size (13 runners) increases race variance.
  • Uncertainty regarding the official going, which is a critical factor for sprint performance.
  • Conflicting information on draw bias at Thirsk 5f adds another layer of unpredictability.
  • Three-year-old handicaps are often highly competitive with rapidly improving or regressing form.
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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.