With the season winding down (at least for me) I decided to take a deep dive into my stats for the year. I looked at which stats were most correlated with score. Here are the results (all correlations are in the direction you would think, average score = 85.6, 36 rounds so kind of small sample size):
R^2 Correlation to Score (Close to 0 = not very correlated, Close to 1 = very correlated)
GIR 0.5991
FIR 0.0245
Putts 0.0654
GIR+1 0.6147
Birdies 0.2466
Pars 0.5318
Bogeys 0.1745 (Positively correlated, ie more bogeys = higher score)
Doubles 0.4254
Others 0.4494
Pars + 0.7478
Doubles - 0.8063
Penalties 0.5460
SG: Driving 0.3695
SG: Approach 0.5032
SG: Short 0.0881
SG: Putting 0.1147
Driving Errors 0.3798
1-Putts 0.0368
3-Putts 0.0010
SG: Strokes Gained
GIR+1: Being on the green in one more than regulation
Pars +: Pars or Better
Doubles -: Doubles or Worse
Driving Error: Any drive that leaves no chance at a green in regulation
A lot of these results confirm what has been known for a long time, but some others were interesting. I was curious what the correlation with bogeys would be - I suspect for high handicaps more bogeys may be correlated with lower scores. Moreover, for lower handicaps this correlation is likely stronger. Three-putts have almost no correlation with score though this is easily explained by the fact that more GIRs = more 3-putts. Penalties are highly correlated with score though it may not for golfers who don’t rack up penalty strokes like I do. Finally, it was interesting that GIR+1 had a stronger correlation to score than GIR (though both are highly correlated). I started tracking this stat when Mark Broadie’s book suggested that amateurs track it and its easy to see why - high GIR+1 means few doubles or worse which had the strongest correlation to score.