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The Hong Kong Racing Museum has a reading corner where I’ve read several books on handicapping. They all share a common principle: “If you want to win money, specialize in specific tracks or race types.”

While Hong Kong only has two racetracks—Sha Tin and Happy Valley—what if we reframe “tracks” as racing surfaces (straight course/all-weather/Valley turf/Sha Tin turf) and “race types” as class levels?

Racing media and even casual punters already know to weight certain factors more heavily (e.g., post position/jockey/running style/class movement) depending on the specific surface and class. But I have a bolder hypothesis:

“For certain surface-class combinations, you only need to consider a few simple parameters to consistently predict which horses are genuine winning contenders and which horses will only get close (ideally including the public favorites).”

On this blog, you’ll see case studies based on actual races to test whether this hypothesis holds true and whether it applies across all distances.

Some distances produce results that are too unpredictable, so they won’t be included in my research scope. For example:

A) 1000m straight course (prone to traffic/interference) / 1800m+ distances (pace dynamics have excessive impact)

B) All-weather track (track conditions can exaggerate winning margins)

C) Class 4 1200m races (too many first-starters; pedigree/trackwork parameters are difficult to quantify)

You’re probably wondering: How do these case studies help with betting? Don’t worry—I’ll explain my hypothesis further. I emphasize it’s a hypothesis because I need more case studies to validate it. Besides, cherry-picking results to fit my narrative wouldn’t benefit me, as these case studies aren’t meant to sell some “guaranteed winning betting system.” They’re simply helping me systematically refine my betting strategy.

Got any thoughts? Feel free to email horse@horse.com to exchange ideas. Happy handicapping!