In the 1840s, golfers discovered that beaten-up balls flew further than new ones. It took decades for science to explain why: dimples create turbulence on purpose. They disrupt laminar flow so air clings to the ball longer, creating a smaller wake and less drag. A dimpled ball flies twice as far as a smooth one.
A single dimple is small and easy to overlook. But pattern them correctly — cover the surface with the right geometry — and they transform chaotic airflow into something that flies further, straighter, and more predictably.
A golf ball has 300 to 500 dimples. Our model uses 300+ data points per player. Each one is small on its own — a strokes gained split, a course history stat, an approach tendency from a specific distance. But arranged with the right methodology, they cut through the noise and reveal who is most likely to perform.
“In the 1840s, golfers discovered imperfect balls flew further. 180 years later, we're still finding that the details everyone overlooks matter most.”
Dimple uses predictions and analytics from Data Golf, one of the most respected golf modeling operations in the industry. Their models simulate thousands of tournament outcomes based on player skill ratings, course fit adjustments, and historical performance.
The core analytical metric in modern golf. Measures how many strokes better or worse a player performs vs the field average in each skill area. +1.0 SG means gaining 1 stroke per round over the average tour player.
Edge = the difference between the model's win probability and the implied probability from bookmaker odds. A positive edge suggests the market is undervaluing a player relative to the model. This is analytical insight, not betting advice.