Flight Numbers: Drive For Dough And Putt For Show, Revisited

With more data from heavily wooded courses, the trend holds

james conrad
James Conrad at the 2018 MVP Open. Photo: Alyssa Van Lanen, DGPT

Early on in the 2018 season, I wrote two articles about the importance of short (Circle 1 putting), intermediate (Circle 2 putting and scrambling), and long (fairway hits, etc.) distance accuracies to player success at tournaments. To keep a long story short (pun intended!), long distance accuracy was by far more important to success than intermediate or short distance accuracy.

In the second article, I addressed several concerns with the results, which we will come back to later. However, the only big concern I felt remained after the second article was regarding scope of inference. This is a potentially complicated sounding term. But, in regards to this analysis, it means considering a relatively straightforward question: is long distance accuracy the most important type of accuracy for all tournaments at the courses at the top touring pro level?

In my previous articles, I used relatively limited datasets. But for this analysis, I am including Open division players from all 29 tournaments, from 2016 to the present, with data available from UDisc Live.1 In other words, I am maximizing my scope of inference. Additionally, we’ve had an entire summer of tournaments, including some to very wooded courses, like Maple Hill and Idlewild, to add to the analysis.

With the setup complete, let’s look at the data. Below is a plot showing the average rank of player’s accuracy scores (long and short) by what place they got in tournaments. A lower rank means better accuracy scores. For example, a player that has a long distance accuracy score of 100 (the maximum value), will have a rank of 1. From the plot, you can see that players that finish first in tournaments rank, on average, about 9th in long distance accuracy. Whereas they rank approximately 26th in short distance accuracy. This dichotomy continues as you move from first place all the way until around 30th place and, again, indicates the supremacy of long distance accuracy in this expanded dataset.

Accuracy score rank versus place (finish) in a tournament. The teal line and dots are for short distance accuracy and the red line and dots are for long distance accuracy. Those finishing better in tournaments have better long distance accuracy scores than short distance accuracy scores. Image: Aaron Howard

Revisiting the Myth of Inflated Circle 1 Putting Stats

Now, let’s return to the concerns we addressed in the previous article. The first one was regarding inflated Circle 1 putting percentages (short distance accuracy) for players that had below average long distance accuracy, or more simply, players with worse long distance accuracy may end up with shorter upshots, shorter Circle 1 putts, and higher Circle 1 putting percentages. However, once again, we see that the data does not support that commonly held theory. In a plot of short versus long distance accuracy scores we can see that short distance accuracy increases with long distance accuracy2 and the players that finish in the top-10 (red circles) are generally in the top right quadrant. But, there is more left-right spread than top-bottom spread in the red circles indicating that players finishing in the top-10 are, with greater frequency, more likely to have average putting stats, but rarely have below average diving stats.

Scatterplots of long versus short distance accuracy scores for MPO players. Players in the top-10 are red. The dotted lines represent the best-fit lines between long and short distance accuracies. Image: Aaron Howard

Revisiting the Myth of Course Type After Maple Hill and Idlewild

The second concern was regarding course type. Specifically, there was some worry that putting would become more important than long distance accuracy on more heavily wooded courses. This is not the case. The plot below indicates that whether the course is riddled with trees (wooded), has some trees (mixed), or is relatively free of trees (open), long distance accuracy is much higher than intermediate or short distance accuracy for players in the top-10. Just look at how the black lines for the long distance (the three columns on the left starting with ‘L’) reflect greater values on the y-axis than those for intermediate and short distance accuracy.

Long (L), intermediate (I), and short distance (S, putting) accuracy scores for top-10 MPO players. The black lines are median (middle) scores — the higher the black line on the y-axis, the more important the accuracy type on the given style of course. The red dots represent values from open courses (O), the teal dots represent values from wooded courses (W), and the gray dots represent values for mixed courses (M). Image: Aaron Howard

One needs to look no farther than the performance of MVP Open winner, James Conrad, to illustrate this fact. He ranked 3rd, 3rd, and 4th, in Fairway Hits, and Circle 1 and Circle 2 in Regulation, respectively. However, he was ranked only 40th in Circle 1 putting. Those equate to long distance and short distance accuracy scores of 88 and 70.3 Conversely, the highest finishing player that was perfect from Circle 1 for the event was Steve Brinster, who finished in a tie for 18th, which is pretty good, but not 1st place — and in this case 14 strokes out of first place.

The primacy of long distance accuracy seems to hold for all course types, including the wooded courses that are part of the upcoming Pro World Championship in Vermont. The two previous winners of the Green Mountain Championship, which were held on the same courses as Pro Worlds will be, were both ranked 2nd in the field in long distance accuracy. So get out there everyone, hit fairways, land greens in regulation and there’s your recipe for winning a World Championship.

  1. The goal of this analysis was to go deep not wide. So, I included only MPO players. 

  2. These results are extremely statistically significant (β = 0.24, t3035 = 41.94, P < 2×10-16). 

  3. Conrad’s intermediate distance accuracy score (99) was quite high, as well. 

  1. Aaron Howard
    Aaron Howard

    Aaron Howard is a Visiting Assistant Professor at Franklin & Marshall College. He loves to play disc golf and to think about things he loves quantitatively. Contact him at ahoward1@fandm.edu and follow him on Instagram.

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