Welcome to the Golf Insider stats by handicap performance dashboard. A common problem golfers have when trying to get better is benchmarking aspects of their game. They often don’t know if they need to work on their driving, approach play, short game or putting.
To help with this question we’ve created the following tool that shows you golf stats by handicap – a big thanks to ShotScope for supplying the data.
Explainer video – Golf stats by handicap
The box below allows you to select your desired handicap goal and the dashboard will update to show the average performance of that handicap level. Want to get down to 16? Click 16 and compare your stats to the data. Want to get down to scratch? Change the tab to 0 and watch the dashboard show you how it can be achieved.
There are four sections:
- General scoring
- Off the tee
- Approach play
- Short game
*This dashboard works on all devices but is best viewed on a laptop/desktop.
Please remember, that this is just a guide to help you develop your golf improvement plan. No one player is average across the board, you will all have strengths and weaknesses. Work on your weaknesses, but keep working on developing your strengths too.
If you want to track these stats and more, head on over to ShotScope to check out their products or download their free stats app.
Enjoy, have a play and check how your own stats compare. For further details about how this was developed and some key assumptions, scroll down or click here.
Key assumptions & limitations
Regular readers will know I’m keen on stating no models are perfect, but some are useful. This is a key example – some of these data points are hopefully useful in pinpointing your strengths and weaknesses and helping you improve. However, every player and every course is different, this ‘global mean’ of golf stats by handicap should be used as a guide.
How the data was developed
Shotcope reached out and offered to share some of their data – millions of data points collected across thousands of golfers. I would have loved the raw data, but was delighted to have their offering of mean data points for ~100 variables for 25, 20, 15, 10, 5 and 0 handicap golfers.
The fun project was then to work out how we could take these 5 discrete values for each metric and make them useful and interesting for golfers of all standards. I decided to start working on how we could fit linear and 2nd order polynomial functions to the data, then use a predict function in R to build out the data for handicap levels of 36 to +4 (the curvy black dots below).
This is not scientific work, you cannot produce robust models with 5 data points. However, after a few weeks, I was happy enough that the data were useful, and a solid representation of how different handicap levels generally play golf.
I decided to move forward and build out the dashboard above, teaching myself to code in R Shiny as I went. Apologies, I’ve never built an app, but I’m enjoying developing my skills. It works on all devices but looks far nicer on a laptop/desktop.
- All data points were modelled individually, meaning FIR, misses left/right may sometimes add up to 98 – 102%, rather than summing to 100%.
- As the graph above shows, the data between the true data (red dots) 0 – 25 handicap is pretty solid, but as we move further away (up to 36 handicap or down to +4) we can be less certain about the true trend.
If you would like any other metrics added just leave a comment below and I will ask ShotScope.
Happy golfing – Will @ Golf Insider
Sorry that this article was not useful for you.
Would you mind helping me improve this article?
Tell us how we can improve this post?