Before any pattern can be trusted, it must be anchored in a clear baseline. Brennan’s methodology starts with a year‑long collection of launch monitor readings, video frames, and biomechanical markers from a cross‑section of amateur and touring players. By normalising this dataset against historic averages, he creates a reference point that isolates genuine deviation from normal variance.
With the baseline established, the next step is to map longitudinal changes. Brennan tracks how variables such as swing plane, tempo, and impact position evolve season‑by‑season, highlighting clusters that rise together. This layered view helps differentiate a fleeting anomaly—like a single tournament’s wind‑assisted distance surge—from a systematic trend that could reshape coaching priorities.