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English
$
USD
I will build sports analytics and develop predictive models
About this Gig
Are you looking for a data driven solution to gain a competitive edge in sports? You're in the right place!
I specialise in sports analytics, predictive modelling, and machine learning to help teams, coaches, analysts, researchers, and sports businesses make smarter decisions from data. Using Python and industry standard tools, I transform raw sports data into meaningful insights and accurate predictive models.
What I Can Do
- Sports data analysis and visualisation
- Player and team performance analysis
- Match outcome prediction
- Win probability and score prediction
- Player performance forecasting
- Data cleaning and preprocessing
- Exploratory Data Analysis (EDA)
- Feature engineering
- Machine learning model development
- Model evaluation and optimisation
- Interactive charts and dashboards
- Well documented Python code
Why Choose Me?
- Expertise in sports analytics
- Clean, efficient, and scalable code
- Accurate, data driven predictive models
- Fast communication and on time delivery
Please contact me before placing your order so we can discuss your dataset, objectives, and project requirements to ensure the best possible outcome.
Programming language:
Python
•
R
•
MATLAB
•
SQL
•
Colab
Tools:
OpenCV
•
TensorFlow
•
Excel
•
MLflow
•
Amazon SageMaker
•
CVAT
•
Colab
Technology:
Python
•
R
•
PyTorch
•
OpenCV
•
scikit-learn
•
Excel
Other Data Science & ML Services I Offer
FAQ
What types of sports data can you analyse?
I can analyse data from football, basketball, cricket, tennis, volleyball, baseball, esports, and many other sports. I work with player statistics, match events, tracking data, GPS data, wearable sensor data, and custom datasets.
Can you build a predictive model using my own dataset?
Yes. I can develop a custom machine learning model using your dataset to predict outcomes such as match results, player performance, injury risk, scoring probability, or other sport-specific metrics.
Which tools and technologies do you use?
I primarily use Python with libraries such as Pandas, NumPy, Scikit-learn, XGBoost, TensorFlow, PyTorch, Matplotlib, and Plotly. The technology stack is selected based on your project's goals and data.
