Martin Alido

🔗 Read here: lnkd.in/eGaCjAma

#SportsAnalytics #DataInSports

Grateful for the chance to write for Sports Horizon UK, thanks to @cideely.bsky.social !

In my blog, I share how data-informed cultures are transforming sports by:
1️⃣ Improving communication
2️⃣ Guiding smarter decisions
3️⃣ Turning data into winning strategies

Getting started in sports technology feels like stepping onto a new court—exciting, but challenging. As a beginner in performance analytics, I’m diving into Python, R, SQL, and basketball data. Small steps build big wins. Let’s learn and grow together. #SportsTech #DataScience

7/ Are you navigating a similar career shift? Let’s connect. I’d love to hear your story.

#DataScience #SportsTech #SportsScience #BasketballAnalytics #MartinInsights

6/ The journey hasn’t been easy, but it’s been worth it.

If you’re thinking of pivoting into a new field:
✅ Trust your instincts
✅ Lean into your strengths
✅ Stay curious

5/ What I’ve learned along the way:
1️⃣ It’s okay to outgrow a role.
2️⃣ Build on what you already know—don’t start from scratch.
3️⃣ Small wins add up. Analyzing box scores helped me get started while learning tools like Python and SQL.

4/ This year, I made the leap.
I stepped away from strength and conditioning to focus on performance analytics and sports technology.

Some people got it. Others didn’t.

3/ I started noticing what really excited me:
✅ Uncovering patterns in performance data
✅ Exploring how tools like GPS and box scores reveal hidden insights
✅ Building smarter strategies with technology

2/ For years, I worked with elite teams like TNT Tropang Giga and the Philippine Azkals. My focus was on improving athlete performance through strength and conditioning.

It was fulfilling work—but something felt missing.

1/ Some career shifts are hard to explain. Here’s my story of leaving strength and conditioning to transition into sports science and technology.

🧵👇

It’s never too late to start.

If you want something to happen, make it happen. Invest in yourself, start small, and stay consistent.

The future belongs to those who create it. Believe in yourself—you’ve got time.

What’s one thing you’re starting today?

5/ AI isn’t about replacing sports scientists. It’s about giving us tools to work smarter and make better decisions.
What’s one way AI could improve your work in sports science? Let’s chat!
#SportsScience #DataScience #AI #PerformanceAnalysis #MartinInsights

4/ Want to dive deeper into AI? Check out AI in Sports Performance with Lorena Torres to learn how to use Generative AI and Machine Learning for better performance strategies:
👉 AI in Sports Performance : aisportslab.thinkific.com/courses/AI-S...

Sports Analytics course with Power BI and Tableau Explore the future of sports science with expert-led Power BI and Tableau courses. Tailored for sports coaches, analysts, physios, and scientists, gain practical data skills to enhance performance ins...

3/ Next, learn the basics of tools like Power BI and R:
Power BI for Sports : www.sporthorizon.co.uk/powerbi-cour...
R for Sports Science : sportscience.podia.com/r-for-sport-...

Both tools make data analysis easier—even for beginners.

2/ First, focus on key metrics like workload and recovery data. You don’t need to analyze everything. AI thrives when solving specific problems.

1/ AI is changing how we approach sports performance—but how can beginners in sports science make it work for them? Here’s a quick guide: 🧵

Small dreams can take you anywhere.

It won’t be easy—it’s not supposed to be.

But if you truly want it, you have to make it happen.

Start small.

Think big.

Embrace the challenge.

The effort you give today shapes your tomorrow.

What dream are you chasing?

5/ Discomfort isn’t the enemy—it’s the way forward.

What’s one challenge you’ve been avoiding because it feels “too much”?

Take the first step today. Growth is waiting.

#Leadership #Growth #MentalHealth #SportsScience

4/ Growth happens when you lean into the things that feel hard:
• Redefine progress: Small steps forward are still steps.
• Be real: Vulnerability builds trust.
• Ask hard questions: Curiosity opens doors.
• Play the long game: Real change takes time.

3/ I started by being honest—sharing my own experiences with stress and burnout.

The response was incredible. Athletes began opening up. Trust grew. And performance improved, not just on the court, but in their lives.

Here’s what I learned:

2/ Early in my career as a sports scientist, I avoided tough conversations with athletes about mental health.

I didn’t feel “qualified” to help. But eventually, I realized that avoiding discomfort wasn’t helping anyone.

So, I decided to take a step forward.

1/ Growth happens where comfort ends.

Most people avoid challenges because they feel unprepared or overwhelmed. But here’s the reality: discomfort is where progress begins.

A short thread on leaning into discomfort to grow as a leader 🧵👇

What’s your approach to athlete development with limited resources?

#BasketballAnalytics #SportsScience #UnlockingPotential #PhilippineBasketballAnalytic

5/ These three principles helped me grow as a sports scientist—even as a beginner. No fancy gadgets. Just observation, creativity, and a focus on individual growth.

You don’t need a lab to unlock potential. You need curiosity.

4/ Simulate real-game pressure.
Blue Lock thrives on intensity. I apply this by designing drills that mimic real situations: fast-break decisions, contested threes, and clutch free throws.

Players adapt faster when they’re exposed to chaos in practice.

3/ Start with simple data.
Box scores and game footage are underrated. By tracking shot selection and turnovers, I’ve uncovered trends that helped players refine their decision-making and execution.

Example: A young player improved his shooting accuracy by focusing only on high-quality shots.

2/ Train the mind, not just the body.
Basketball is as much mental as it is physical. I’ve seen players transform under pressure drills or mental resilience exercises. You don’t need expensive tools for this—just realistic scenarios and tough feedback.

1/ I started in sports science without access to advanced tools—just game footage, box scores, and curiosity. Watching Blue Lock gave me a new perspective on how to maximize player potential with limited resources.

Here’s what I learned:

What Blue Lock taught me about basketball development, even without fancy tech. 🏀

7/
Progress isn’t about doing more—it’s about doing the right things consistently.
What’s worked for you when you’ve hit a plateau? Share your strategies below 👇

#AtomicHabits #SportsScience #DataScience #BasketballAnalytics #PerformanceAnalysis