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Fiverr Pro
English
$
USD
I will build sports analytics dashboard, predictive models, sports data api or scraping
sports computer vision and AI analytics developer
I’m a sports computer vision and AI analytics developer who transforms raw match videos into intelligent data and performance insights.
Using advanced machine learning models (YOLOv8, DeepSORT, OpenCV...
About this Gig
Want to turn sports data into real, actionable intelligence?
I specialize in AI-powered sports analytics solutions from data scraping and API integration to interactive dashboards and predictive performance models.
Whether you need to collect live match data, analyze player stats, or predict outcomes, Ill build a custom Python-based analytics system that delivers accuracy, insight, and speed.
What You will Get :
- Sports data scraping (websites, APIs, or stats feeds)
- Automated data cleaning and structuring (CSV/JSON)
- Interactive dashboards (heatmaps, shot maps, trends)
- Predictive models (player form, win probability, team KPIs)
- API or database integration (live data sync)
- Deployment-ready web dashboard (Streamlit, Dash, React)
Tech Stack: Python, BeautifulSoup, Selenium, FastAPI, Plotly, Streamlit, Dash, Scikit-learn, PyTorch
Output Formats: CSV / JSON / XLSX / HTML / Interactive Web App
Why Choose Me:
Full-cycle developer from raw data to predictive insight
Sports-focused machine learning and analytics expertise
Clean code, fast delivery, and tailored performance metrics
Scalable for football, basketball, cricket, tennis, and more
Turn your sports data into powerful analytics
FAQ
Q: Can you scrape any sports website?
A: Yes, as long as it’s publicly accessible or via API; I comply with ethical scraping policies.
Q: Can I get real-time updates?
A: Yes — Premium package includes API endpoints or cron jobs for scheduled updates.
Q: What kind of predictions can you build?
A: Player form, win probability, scoring likelihood, injury risk, or performance trend models.
Q: Do you provide hosting or deployment?
A: Yes, dashboards can be deployed on Streamlit Cloud, Render, or your preferred VPS.
