This article reviews independent research comparing TrackMan’s radar-based system with Foresight’s camera-based technology, using a high‑precision optical motion capture system as the benchmark. While both produce valid ball data, differences in measurement methods lead to variation in data output and accuracy.

Key Takeaways:

Ball data is reliable across both systems, with ball speed, launch angle, and direction measured consistently well. However, club data shows greater variability, as differences in measurement approach can lead to discrepancies of several mph or degrees. 

Measurement method matters, and understanding these differences is critical for coaches and fitters. Interpreting results requires considering how the data was captured, the specific parameters in question, and the setup conditions. For fitters, this means recognising when numbers may reflect measurement limitations rather than player changes, and for coaches, it means knowing which metrics to trust most when making technical adjustments.

Should golfers chase more distance or focus on hitting it straighter? This in-depth article explores the long-standing debate using data-driven insights from Mark Broadie and Lou Stagner. Learn why traditional stats like fairways hit fall short, how strokes gained and degrees offline offer a clearer picture, and why even modest distance gains can significantly lower scores.

Whether you're a coach, fitter, or player, this article offers practical guidance on using modern performance metrics to make smarter decisions off the tee.

This in-depth article explores the mechanics behind spin generation in golf, drawing on classic and contemporary research to explain the sliding and rolling phases of impact, the role of over-spin, and the concept of Spin Coefficient of Restitution (SCofR). With practical insight for coaches and fitters, it examines how factors like moisture and loft interact in complex, sometimes counter-intuitive ways, highlighting why indoor data alone can mislead performance assessments. Essential reading for anyone looking to bridge the gap between numbers and real-world play. 

In recent decades, the field of golf performance analysis has undergone a significant transformation, with data increasingly underpinning both coaching and equipment interventions. Among these advances, the concept of strokes gained (Broadie, 2014) has emerged as a benchmark metric for evaluating player performance at both the professional and amateur levels (Arccos Golf, 2022). Unfortunately, while strokes gained is widely applied in coaching and performance analytics, its impact on equipment choices remains underdeveloped despite its practical relevance to both custom fitting and club optimization.

When it comes to golf club fitting, many players and custom fit specialists focus heavily on factors like loft, lie angle, and shaft flex. While those are undeniably important, there’s another category of variables that can also impact performance which are often overlooked: weight, and swing-weight. Understanding how the total mass, and swing-weight affect performance can help players find a setup that not only fits their physical ability but also supports more consistent performance.

Drawing on insights from the PING, Callaway and several research-backed resources that blends theory with real-world fitting experience, this article explores how the total mass and swing-weight work independently and together, and what their practical implications are for both golfers and fitters.

In iron fittings, there’s a familiar pattern: golfers arrive chasing distance with many believing hitting their 7-iron 10 yards farther is the ultimate sign of improvement. This expectation has shaped how fitters approach sessions, often prioritizing carry distance, ball speed, and peak height on launch monitor screens, looking for opportunities to optimize the numbers here and now with little attention to long-term performance.

But when the primary goal is lowering scores, distance alone doesn’t tell the whole story.

The evolution of strokes gained analysis (Broadie, 2014) has given us a new perspective on what leads to better scoring, particularly in the iron game. Rather than focusing on distance, strokes-gained shifts attention toward dispersion, consistency, and proximity to the hole, which, in addition to distance, are important variables for scoring.