This is your RaceiQ Grand National Data Special — a fast, sharp, numbers-driven breakdown of the world’s most famous race.
We strip away opinion and focus on what actually matters:jumping efficiency, finishing speed, and performance against expectation
And there’s no one better to guide us through it than former jockey and RaceiQ lead analyst Page Fuller, who joins Emmet Kennedy.
🧠 WHAT THIS EPISODE DELIVERS
• The Jump Index explained and why it defines Grand National winners• Why every winner in the last three years recorded 7.1+ Jump Index• The key metrics that consistently outperform the betting market• Where punters go wrong when analysing the Grand National• The true statistical profile of a winning horse
📊 CORE DATA INSIGHTS
We break down the race using RaceiQ performance data, including:
• Jumping efficiency and momentum through obstacles• Finishing speed and late race performance• Performance versus expectation (A/E)• Why the average Grand National winner starts at 20/1+
🏇 KEY CONTENDERS ANALYSED
Using data, not opinion, we assess:
• Nick Rockett – elite jumping gains and repeatability• I Am Maximus – consistency vs regression risk• Monty’s Star – highest Jump Index in the field• Grangeclare West – strong all-round profile• Jagwar – fastest finisher profile• Oscars Brother – data-led lay profile
🎯 VALUE & BETTING EDGE
• The ideal Jump Index range for winners (7.5–8.5)• Consistency vs volatility in elite performers• The biggest market inefficiencies in the race• How to identify overbet and underrated runners
⚡ QUICKFIRE VERDICTS
• Best jumper in the race• Most likely winner• Best value based on data• One to avoid• One stat punters are ignoring
🧠 KEY TAKEAWAY
If you take one thing from this episode:jumping efficiency wins the Grand National — not hype, not narrative, not reputation
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