Artificial Intelligence (AI) is changing how we understand football. What used to take hours of data collection and spreadsheet work can now be done in minutes with tools like ChatGPT or Google Gemini. In this article, we’ll explore how to perform a Premier League team analysis step by step — starting with a simple list and ending with real insights.
Introduction
If you love football and enjoy numbers, AI can be your new teammate.
Whether you’re a fan, blogger, or data enthusiast, you can easily use AI tools to organize, compare, and analyze information about your favorite Premier League teams.
The great thing? You don’t need programming skills. You just need curiosity — and a few smart prompts.
Create a Simple List of Teams (Season 2025/2026)
Let’s begin with the basics. You can ask your AI assistant for a list of all Premier League teams in the current season.
🗨️ User:
“Give me a list of all Premier League teams for the 2025/2026 season.”
🗨️ ChatGPT:
“Here’s the list of teams competing in the 2025/2026 Premier League:
Arsenal, Aston Villa, Bournemouth, Brentford, Brighton, Chelsea, Crystal Palace, Everton, Fulham, Ipswich Town, Leicester City, Liverpool, Manchester City, Manchester United, Newcastle United, Nottingham Forest, Southampton, Tottenham Hotspur, West Ham United, Wolverhampton Wanderers.”
Now we have the foundation of our analysis — the team list
Work with Tables
The next step is to move from a list to a structured table. This allows us to add details and perform comparisons later.
Add Team Information
We’ll ask the AI to extend our list with a few extra data points — city, stadium name, and stadium capacity.
🗨️ User:
“Create a table with each Premier League team, including city, stadium name, and stadium capacity.”
🗨️ ChatGPT:
| Team | City | Stadium | Capacity |
|---|---|---|---|
| Arsenal | London | Emirates Stadium | 60,704 |
| Aston Villa | Birmingham | Villa Park | 42,657 |
| Chelsea | London | Stamford Bridge | 40,341 |
| Liverpool | Liverpool | Anfield | 61,000 |
| Manchester City | Manchester | Etihad Stadium | 53,400 |
| Manchester United | Manchester | Old Trafford | 74,310 |
| Tottenham Hotspur | London | Tottenham Hotspur Stadium | 62,850 |
| … | … | … | … |
Just like that, you’ve created a mini database about the premier league teams. You can export or extend it easily.
Expand the Table: Average Squad Age and Sorting
Next, let’s add average squad age. AI can estimate or pull recent data from reliable sources.
🗨️ User:
“Add a column for average squad age and sort the table from youngest to oldest.”
🗨️ ChatGPT:
| Team | City | Stadium | Capacity | Avg. Age |
|---|---|---|---|---|
| Arsenal | London | Emirates Stadium | 60,704 | 24.3 |
| Brighton | Brighton | Amex Stadium | 31,800 | 24.7 |
| Manchester United | Manchester | Old Trafford | 74,310 | 25.1 |
| Liverpool | Liverpool | Anfield | 61,000 | 25.4 |
| … | … | … | … | … |
Now the AI tool sorts all premier league teams automatically — something that would take several manual steps in Excel.
Apply Quick Analyses about the premier league teams
Once your data is ready, the fun part begins: AI-based analysis.
You can ask questions like:
- “Which team has the largest stadium?”
- “What is the average capacity of all Premier League stadiums?”
- “Compare the three youngest teams and their performance last season.”
🗨️ User:
“Which Premier League team has the largest stadium, and what’s the capacity difference compared to the smallest one?”
🗨️ ChatGPT:
“Manchester United’s Old Trafford (74,310) is the largest. The smallest, Bournemouth’s Vitality Stadium (11,307), is 63,003 seats smaller.”
With one question, you’ve just performed a comparative analysis.
You can even go deeper by adding performance stats, transfer values, or average attendance to the same table. AI can generate charts, summarize patterns, and explain trends — all in plain English.
What Makes AI so Useful for Football Analysis?
Here’s why AI tools like ChatGPT or Gemini are perfect for football analysis:
- Speed: Instant results — no coding or spreadsheets required.
- Flexibility: Add, remove, or modify any data field easily.
- Insight: You can ask “why” and get explanations in natural language.
- Automation: Generate tables, summaries, or reports with a single prompt.
- Accessibility: Anyone can use it — fans, journalists, or analysts.
This combination of data + natural language opens the door to creative insights, predictions, and storytelling.
Conclusion: Time to Get Involved with AI
AI isn’t just for scientists or big tech companies — it’s a tool for everyone.
With a few prompts, you can explore football data, find trends, and create your own analyses of the Premier League teams.
🗨️ ChatGPT:
“Would you like me to generate a chart comparing stadium capacities or team ages?”
That’s the beauty of modern AI — it doesn’t just answer; it collaborates.
So don’t wait. Try it yourself today. Open ChatGPT or Google Gemini, start with a simple list, turn it into a table, and see how powerful AI-driven Premier League team analysis can be.