Performance data is becoming a tool in the bag of elite players and professionals around the world to advance their game. Over the past 5 years, data has increasingly become available for amateur players, with ambitious performers seeking out solutions that will help them lower their scores.
We are going to explore 3 key questions surrounding performance data and its utility for coaches and players:
As a coach, you have limited visibility into a player's game at any one time. For many players, you will only see them on the practice tee. For almost every player, your interactions will be limited. As coaches, we rely on information from the player, a task that players cannot accurately complete because of natural cognitive bias. Players have an inability to resource you, their coach, with the information that can help you identify and address areas of their game that will lead to the greatest score reduction.
Put simply, at a minimum you should know 5 key things:
Objectivity is crucial. Over a round, thousands of data points can be collected and analyzed related to performance. Not only are players unable to process that quantity of information during a round (and we should not expect them to), but all too often subjectivity creeps into personal evaluation. Cognitive bias takes over, resulting in them communicating the wrong information to you, as you seek the best route to improve performance.
This is where performance data comes in. Recording basic shot data that is already being collected (lie of the ball & distance to the pin) allows objective analysis and communication between player and coach, resourcing you with the information you need to influence performance.
Understanding the current performance of a player is a fantastic advantage. Where it becomes meaningful is how it is applied to players to move them from their current performance level, to their goals. Working with the player, coaches seek to establish:
Understanding a player's current performance level is established through the analysis of performance data. Data provides a benchmark of performance for that player, clarity of their performance profile, and forms the beginning of meaningful interaction regarding improvement.
Building goals for improvement and identifying the best plan to bridge the gap combines both data analysis and data science. We seek to understand which areas of a player's game will have the greatest benefit to score reduction.
Iterating this plan is achieved by establishing a coaching cadence using evidence of a player's performance, collected during rounds and practice sessions. For players, they are able to continue working on areas that will be most impactful for them. For coaches, you’ll see faster results, and an increase in lesson times from a wider group of players.
Exploring how you can add data science to your coaching offer can feel overwhelming.
Fortunately, there is growing expertise within data science for golf, and it has become easy to get started. Depending on your level of comfort and understanding of collecting and utilizing insights from performance data, you’re able to dip your toe in with more information or move directly to engage players who you want to establish data-driven coaching plans with.
I’ve been moving down this path with my top players around the world, over the past 6 months. I have been using Circles and recommend it for anyone interested in utilizing datadriven insights with their players. The platform is free for coaches and involves free trials for players too. Circles provide free education to coaches considering this change, as well as education and support for players. If you’re interested in exploring alternative platforms, a helpful blog on the top 5 apps can be found here.
Please give me your feedback and if you’d like an introduction to the Circles team, let me know and I can facilitate that.