Tennis Player Rating Algorithm Development
€1500-3000 EUR
Teslim sırasında ödenir
We are seeking a talented individual with expertise in machine learning and data analysis to develop an algorithm capable of establishing player ratings for tennis matches. The core objective is to create an algorithm that can provide a rating for each player based on their performance against opponents with similar playing styles. We will provide data on the profitability of these players when facing opponents with similar playing styles, as well as access to a database of over 50,000 tennis matches for testing purposes.
Key Requirements:
Machine Learning Expertise: The ideal candidate should have a strong background in machine learning, including experience with regression analysis, classification, and predictive modeling.
Data Utilization: The algorithm should utilize the provided dataset of player profitability against opponents with similar playing styles. It should also incorporate odds data from betting agencies to enhance the rating accuracy.
Player Style Analysis: The algorithm should analyze player styles, considering factors such as playing surface preferences, strengths, weaknesses, and historical performance.
Scalability: The algorithm should be scalable to handle a large number of matches in real-time or near-real-time to enable profitable betting decisions.
Parameter Tuning: Fine-tuning of algorithm parameters to optimize the accuracy of player ratings and match predictions.
Testing and Validation:
We will provide access to a comprehensive database of tennis matches to test the algorithm's performance. The candidate should demonstrate the algorithm's effectiveness in predicting match outcomes and player performance.
Profitability Strategy:
The ultimate goal of this project is to utilize the algorithm's ratings to identify profitable betting opportunities in tennis matches and potentially generate revenue from betting agencies.
Budget and Timeline:
The budget for this project is negotiable based on the candidate's experience and proposal. The timeline for completion will be discussed during the selection process.
If you possess the required skills and are excited about the potential of creating a cutting-edge algorithm for tennis match ratings, please submit your proposal. Include details of your relevant experience, approach to solving this problem, and any previous projects that demonstrate your expertise in machine learning and sports analytics.
We look forward to collaborating with a skilled professional who can help us gain an edge in the world of sports betting using data-driven insights.
Proje NO: #37212418
Proje hakkında
Bu iş için 61 freelancer ortalamada €2364 teklif veriyor
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