Swing Matrix

Swing Fault Matrix

The Swing Fault Matrix is a first of its kind data science study created from the data of 10,000 amateur golfers all over the world, ranging from beginners to scratch players and from 8 years old to 88.  All players submitted swing videos via the Swing Index mobile app along with their mis-hit. SwingAI coaches assessed and scored their Swing Index for the five parts of their golf swing: Setup, Turn, Lever, Path and Release. As the player worked through their roadmaps to improve each element, the SwingAI engine uncovered some important patterns for amateurs’ golfers wanting to improve their swing.


What you need to know: One of the key findings of the study shows every golfer has a Primary Swing Fault that prevents them from achieving game improvement  When the Primary Swing Fault is identified and corrected, it creates rapid and measurable game improvement.

Key Outcomes

  • Discovery that each player has a Primary Swing Fault which when identified clears the path to further improvement.
  • Primary Swing Faults are directly linked to skill level.
  • A standard list of Swing Faults as defined by player data.
  • There are ten Mis-hits as defined player data.
  • Game improvement is now a measurable metric for each player.
  • The Matrix can predict potential skill level by Swing Faults.