I am a horrible golfer. I am first to admit it. I struggle with having a complete game. There are days when my long game is on point and others when my short game and putting is phenomenal. It is rare that both are working together. I struggle with it because I want to improve. Like anything in life, if I was good at it from the start what fun will be that be? Maybe it is my weird sense of what fun is.
A new virtual golf business opened not too far from my home. Great little joint and the simulators help work on your game during the brutal winter months when that Polar Vertex is hovering over us.
I started to think about the simulator and the amount of data it was using to alow us to play a round of golf. Can Big Data be used to improve a golfer? Or allow a professional golfer to win more tournaments?
Here is a hypothetical – say you are able to capture the following data:
- Day of the year
- Weather information (wind, humidity, etc)
- Course information (distance, markers, green info, etc, etc)
The above information is readily available on most golf GPSs. And clearly most golf simulators are able to capture a lot of data such as swing speed, club head angle, etc.
Now if we add the following information player specific dat
- Average # of shots played previously on that course
- Distance made with specific clubs for that course
- Ball type
- How the player is playing the day of (soft data point)
Can this information be loaded into a database and be crunched and then sent to an iPad or other device to allow a player to know what club he should/or should not use and how to hit?
All this rests on if a player is able to duplicate his swing repeatedly. For most amateurs that is impossible. But I think a professional golfer can easily do that.
There is definitely a place for this type of information in this sport.