pankajrawat9075/fantasy-sports-prediction
We have used our skill of machine learning along with our passion for cricket to predict the performance of players in the upcoming matches using ML Algorithms like random-forest and XG Boost
Extracts ball-by-ball ODI data from YAML format (2005-2019) and engineers 12+ features per player including venue-specific performance, strike rates, and dismissal patterns. The system generates venue-aware predictions for individual player performance and optimal team combinations by feeding career aggregates and match-specific statistics into ensemble models. Supports both single-player forecasting and full-match analysis with opposition and ground context encoded as features.
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Python
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Mar 28, 2024
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