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Golf Monthly
Golf Monthly
Sport
Michael Weston

What Drivers Are The PGA Tour's Longest Hitters In 2026 Using?

Longest drivers on the PGA Tour.

Distance isn’t the be-all-and-end-all. However, if you can crunch a drive over the 300-yard mark, it doesn’t half make the game a lot easier.

That’s if you can find the fairway, of course - big drives are quite damaging if they end up going sideways into hip-high rough.

For this article, we’re going to focus on those players who currently lead the way in average driving distance off the tee*.

However, we obviously can’t ignore the fact that accuracy is crucial - so we’ve also listed where these players rank in driving accuracy.

If you’re searching for more distance, perhaps this will encourage you to invest in a new driver - possible one of the best drivers for distance.

We can’t guarantee that Aldrich Potgieter’s PXG Lightning Tour will get you anywhere near the South African's 330-yard average, but you could add a few extra yards…

PGA Tour Driving Distance (Top 20 and ties)

Ranking

Driving Average (yards)

Driver

Driving Accuracy

(1) Aldrich Potgieter

329.8

PXG Lightning Tour

52.75% (137th)

(2) Michael Brennan

326.1

Titleist GT3

61.24% (61st)

(3) Gary Woodland

322.4

Cobra OPTM Max LS-K

59.58% (82nd)

(4) Nicolai Hojgaard

322.1

Callaway Elyte TD Max

52.45% (139th)

(5) Chris Gotterup

321.5

Ping G440 LST

54.35% (129th)

(6) Rasmus Hojgaard

321.4

Callaway Paradym Ai Smoke TD

50.00% (143rd)

(7) Marco Penge

320.8

PXG Lightning Tour Mid

49.15% (146th)

(8) Min Woo Lee

320.2

Callaway Elyte TD

61.30% (60th)

(9) Johnny Keefer

318.4

Titleist GT2

58.87% (89th)

(10) Jake Knapp

317.7

Ping G440 LST

58.09% (98th)

(11) Pierceson Coody

317.5

TaylorMade Qi4D

58.01% (99th)

(12) Christo Lamprecht

316.9

Ping G430 Max 10K

46.52% (151st)

(13) Xander Schauffele

316.0

Callaway Paradym Ai Smoke TD

60.90% (67th)

(14) Ludvig Aberg

315.8

Titleist TSR2

63.39% (32nd)

(15) Pontus Nyholm

315.3

TaylorMade Qi4D

46.67% (150th)

(16) Keith Mitchell

314.6

TaylorMade Qi4D LS

57.91% (101st)

(17) Kurt Kitayama

314.1

Titleist GT3

62.71% (41st)

(18) Sam Burns

313.7

Callaway Quantum TD S

58.29% (94th)

(19) Michael Thorbjornsen

313.6

TaylorMade Qi4D

60.57% (70th)

(20) Brooks Koepka

313.2

Titleist GT3

56.16% (118th)

(20) Jimmy Stanger

313.2

Titleist GT2

57.45% (106th)

(20) Alejandro Tosti

313.2

Srixon ZX5 Mk II LS

53.10% (135th)

* Stats taken after the John Deere Classic (July 5th)

If you’re wondering where Rory McIlroy is, the Northern Irishman’s stats don’t currently appear on the PGA Tour’s ranking lists because he hasn’t played in enough tournaments this season.

Had he done so, there’s no doubt he’d be somewhere near the top of the list, given that last season he averaged 323 yards off the tee (ranked 2nd in 2025).

McIlroy, of course, is well known for his driving prowess - and he's currently gaming the TaylorMade Qi4D driver.

Of the 22 players on the list (three players averaged 313.2 yards off the tee at the time), six were using Titleist models, followed by Callaway (five) and TaylorMade (four).

Interestingly, none of the players using Titleist drivers on the list have moved into the latest models since the list was put together, the GTS range.

However, that's not to say this hasn't changed since, and it's probably safe to say that a fair few will make the transition at some stage, possible during the 'off season'.

It also shows just how popular the Titleist GT3 driver was (and still is).

(Image credit: GMS)

Released in August 2024, this was the model that sat in the middle of the GT range in terms of spin and forgiveness, and offered golfers the most adjustability.

It's not unusual for previous models to be played on tour, even when drivers become several generations old.

Take PGA champion Aaron Rai, for example, who's still gaming the TaylorMade M6 driver, which was released in 2019.

Although not many players would stick by an old favorite for quite this long, the fact that there are so many previous generation models on the list tells you that the performance from one iteration to the next is usually fairly minimal.

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