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All About School - Education Forum and Classifieds -> Education and Academics -> Improving In-Depth Soccer Analysis: Tools and Techniques
Post Info TOPIC: Improving In-Depth Soccer Analysis: Tools and Techniques
wibemok


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Posts: 22
Date: 5 days ago
RE: Improving In-Depth Soccer Analysis: Tools and Techniques
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Hi! For soccer analysis, blending data and observation is essential. For software, StatsBomb, Wyscout, and InStat are widely used professionally, while Python (with pandas, matplotlib, seaborn) or R is great for custom visualizations like heatmaps, passing networks, and xG charts. Key metrics include xG, xA, progressive passes, pressures, and possession value, which help quantify performance.

 

When conducting soccer analysis, balancing stats with qualitative observation is crucial: watch player movement, off-ball positioning, pressing, and space creation, then cross-reference with data insights. Tutorials from StatsBomb’s open datasets and tools like TacticalPad can help visualize tactics and team behavior effectively.



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hiniwe


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Posts: 67
Date: 5 days ago
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Hi everyone,

I’m trying to deepen my understanding of soccer analysis, both at the tactical and statistical levels. I’m particularly interested in how professional analysts break down player performance, team strategies, and match trends. What software, metrics, or visualization tools do you recommend for tracking passing efficiency, positional heatmaps, or expected goals (xG) data?

Additionally, how do you balance quantitative stats with qualitative observations like player movement or off-ball positioning?

Any insights, tutorials, or case studies on effective match analysis would be incredibly helpful.

Thanks in advance for your advice!



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