Drive for Show,
Putt for Dough?
Golf runs on received wisdom. We tested five of the game’s most repeated clichés against two full PGA Tour seasons and one in progress — 463 player-seasons, eight metrics, and some uncomfortable results for the conventional view.
Every golfer has a mental rulebook assembled from years of playing, watching, and listening. Hit it straight. Make your short putts. Lag it close. The pros have heard the same things. The difference is the data — and the data has opinions.
We matched PGA Tour players across eight statistical categories and correlated each against official earnings: 118 players in 2024, 179 in 2025, and 166 so far in an incomplete 2026 season. The same five clichés go on trial in each year. Some verdicts are consistent. One flips entirely. None survive entirely intact.
Traditional stats like driving distance and fairways hit tell you what happened. Strokes Gained tells you how much it mattered.
The concept, developed by Columbia professor Mark Broadie, compares every shot a player hits against the statistical average outcome for all Tour players from that same position. If you’re 150 yards out in the fairway, the field averages a certain score from there. Hit it closer than average and you’ve gained strokes on the field. Miss the green and you’ve lost them. Do this for every shot across a season, and you get a number that captures genuine contribution — not just raw outputs.
Tells you how far the ball went. Doesn’t tell you where it landed, what lie you got, or what iron shot it set up.
Tells you how much better (or worse) your drive was than average — factoring in distance, accuracy, and the position it leaves.
The percentage of fairways hit. Treats every fairway as equal — a narrow par-4 fairway counts the same as a wide one.
Measures how much closer to the hole you’re leaving your approach shot versus Tour average from the same distance and lie. The most predictive single metric we found.
The short version: Strokes Gained is context-aware. Raw stats aren’t. That’s why a long hitter who sprays it can still show a positive SG: Off the Tee if their distance advantage outweighs their misses — and why driving accuracy shows up as irrelevant in earnings data despite sounding fundamental.
Throughout this piece we refer to a Pearson correlation coefficient (r) and a p-value. Here’s what they mean in plain terms.
A number between −1 and +1. It measures how closely two things move together. r = 1.0 means perfect positive relationship (more of X always means more of Y). r = 0 means no relationship. r = −1 means perfect inverse relationship. In messy real-world data involving human performance, r = 0.4+ is considered a meaningful relationship.
The probability that the relationship you found could have appeared by chance, even if there’s no real connection. p < 0.05 is the conventional threshold — it means there’s less than a 5% chance the pattern is a fluke. We mark results above this threshold as “not significant” — it doesn’t mean zero effect, just that the data doesn’t support a confident claim.
Square the r value to get the proportion of earnings variance explained by the metric. SG: Approach at r = 0.47 gives r² = 0.22, meaning approach play explains about 22% of the variation in prize money across the tour. That sounds modest — but for a single stat in a complex sport, it’s substantial.
Correlation isn’t causation, and a season-level average hides a lot. A player can have a middling approach average but win twice on weeks where the irons were on fire. These numbers describe populations and tendencies — not any individual player’s week.
The Verdicts
❌ Busted — Both Years
“Drive for show, putt for dough”Approach play beats both halves of this saying in both seasons. In 2024, putting isn’t even statistically significant. In 2025 it is — but still trails approach badly.
❌ Busted — Both Years
“You have to find fairways”Driving accuracy: r=0.141 in 2024, r=0.031 in 2025. Neither significant. The Tour’s straightest drivers earn no more than those who spray it.
❌ Busted — Both Years
“Make your putts inside 10 feet”Short putting conversion not significant in either season. SG: Putting already captures this signal more efficiently — tracking it separately adds nothing.
⚠ Inconsistent
“Good lag putting matters”Significant in 2025 (r=0.231, p=0.002) but not in 2024 (r=−0.154, p=0.097). Interesting variation year to year — not a reliable constant.
The One Constant: Approach Play
Whatever else changes year to year, one finding is rock solid across both full seasons. SG: Approach is either the strongest or joint-strongest correlate with earnings, and it is the only metric that reaches statistical significance in both 2024 and 2025.
In 2024, it leads the field at r = 0.436, explaining 19% of earnings variance — with SG: Off the Tee close behind at r = 0.415. In 2025, approach strengthens further to r = 0.471 (r² = 0.222). The early 2026 data, with 166 players, is already producing r = 0.478. The pattern doesn’t waver.
The divergence between 2024 and 2025 is itself interesting. In 2024, SG: Putting shows essentially no relationship with earnings (r=0.096, p=0.30). Scheffler won everything in 2024 by being the best ball-striker on the planet — and the field data reflects it. In 2025 the tour levelled slightly and putting returned as a factor. Approach remained the constant.
There’s a revealing footnote in the data if you use the Exclude Scheffler filter in the chart below. Remove him from 2024 and SG: Off the Tee (r=0.368) actually leads SG: Approach (r=0.314), with putting barely registering at r=0.049. For one season at least, “drive for dough” holds up better than “putt for dough” — even after accounting for Scheffler’s specific ability to inflate tee-shot correlations. It’s the closest the old saying comes to vindication anywhere in this dataset.
But then switch to 2025 without Scheffler and the picture reverses: SG: Putting (r=0.320) edges ahead of SG: Off the Tee (r=0.284). The battle between the two clichés is genuinely too close to call across seasons, and which one “wins” depends entirely on which year you look at. That year-on-year reversal is, frankly, the point. A signal that flips direction is not a signal — it’s noise. The only reading stable across every slice of this data is that approach play leads. That’s the consistent story. Everything else is season-specific variation.
It does raise a question worth exploring properly: would the same pattern hold across five seasons, or ten? Two years is enough to be interesting — it’s not enough to be definitive. That’s a future article we’ll return to as more data accumulates.
On Fairways, Distance, and Short Putts
Three metrics fail to reach statistical significance in either season: driving distance, driving accuracy, and short putting conversion. In the case of driving accuracy, the 2025 p-value of 0.68 means the result is almost entirely consistent with random noise. Finding the fairway — as measured by the percentage of times you hit it — genuinely does not predict earnings at Tour level.
This isn’t because position off the tee doesn’t matter. It’s because the Strokes Gained framework already captures that signal far more intelligently. SG: Off the Tee is significant in both years (r≈0.32–0.42) because it accounts for the quality of the position left, not just the binary hit/miss. The raw accuracy figure strips all that context away and the signal disappears.
Short putting tells the same story differently. The conversion rate inside 10 feet is not significant in either season — but SG: Putting is. One captures everything, the other only part of the picture.
Pearson r vs prize money, sorted by absolute strength. Solid bars = statistically significant (p<0.05). Outlined bars = not significant. Toggle seasons or exclude Scheffler to see how much his dominance skews the field correlations.
X axis: SG Approach. Y axis: selected putting metric. Dot size & colour = earnings. Crosshairs = season medians. Top-right quadrant = elite at both. Hover for player details.
Each dot = one player. Hover for details. Dashed line = regression. Faded grey line = not statistically significant.
Who Should Have a Big 2026?
If SG: Approach is the most consistent predictor of earnings across seasons, the early 2026 approach leaderboard is as good a crystal ball as the data can offer. The caveat is real — a partial season means smaller samples, and form changes — but r=0.478 already confirms the pattern is holding in 2026 too.
We’ve split the early leaders into three groups: the veterans proving longevity on the approach game, the established names whose numbers suggest another productive year, and the younger players whose approach stats point to a possible breakout.
The Verdict
Across two full seasons and one in progress, SG: Approach is the only metric to consistently and significantly predict Tour earnings. Five golf clichés were tested: three are definitively busted, one is inconsistent, and none survive fully. Finding fairways is statistically irrelevant. Short putting adds nothing that overall putting doesn’t already capture. The “drive vs putt” debate flips depending on the season — which tells you it isn’t the right question. The modern Tour rewards the player who hits the best approach shots. We’ll test whether that holds across a longer time horizon in a future piece.
