MLB.com · 20 Sep, 00:41 · Technology briefing

Visualizing Cal Raleigh's swing using bat tracking technology

Major League Baseball is increasingly utilising advanced bat tracking technology to visualise and analyse player performance.

What it means for you ↓ Courses for this story

30%premium for professionals who pair domain skills with tech fluency

3.5xfaster skill turnover — staying current is the moat

74%of employers fund staff who self-start upskilling

20days to your first credential

The briefing

The story
in brief.

What happened, who it affects, and why it landed on our intelligence desk — in plain English, sixty seconds or less.

Major League Baseball is increasingly utilising advanced bat tracking technology to visualise and analyse player performance. A recent report details how this data visualisation is applied to Cal Raleigh’s swing, offering granular insights into biomechanics and ball contact. This trend highlights the sector’s broader shift towards data-driven decision-making and precision analytics. For professionals, it exemplifies how high-performance environments are adopting sophisticated tracking systems to optimise outcomes, moving beyond traditional scouting methods to rely on quantifiable metrics and real-time feedback mechanisms for continuous improvement.

Employer demand for Data Science skills — indexed growth since 2019
Indicative index of skill mentions in professional job postings for the field this story moves (2019 = 1)

Your move

What this means
for your career.

Every headline redistributes opportunity. Here is who this one rewards — and how to be on the right side of it.

This development signals that data analytics and visualisation skills are becoming critical in sports management and high-performance coaching. You should recognise that the ability to interpret complex biomechanical data is now a high-value competency. If you work in sports technology or analytics, focus on mastering data visualisation tools and statistical modelling. Smart professionals will upskill in Python for data analysis or CRM data analytics to handle similar datasets in other industries. Understanding how to translate raw tracking data into actionable insights will differentiate you. Prioritise learning platforms that teach you to derive strategic value from granular performance metrics, as this capability is transferable across sectors demanding precision and optimisation.

For this story, the fields that convert it into pay are Data Science, AI in Sports, Python For Data Analysis and CRM Data Analytics — exactly the programmes matched below. The chart shows the indicative salary uplift certified professionals report in each of those fields; every one of them is a click away, from £79, finishing in as few as 20 days.

Indicative salary uplift in the fields matched to this story
Indicative ranges from published continuing-education salary studies, by field — each field is a recommended course below

Matched to this story

Enrol in these
to benefit.

These programmes position you for exactly this shift — online, self-paced, and finishing with a verifiable certificate you can share the day you pass.