Comprehensive Historical Horse Racing + Betfair Exchange Dataset for XGBoost
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About this role
Python, Data Processing, Statistics, R Programming Language, Statistical Analysis, Data Cleansing, Data Analysis, Data Collection, Data Management, Data Annotation · I’m looking for an experienced horse-racing data specialist to provide a clean, comprehensive runner-level historical dataset for training an XGBoost model to predict horse win probability for pre-race Betfair Exchange analysis.
Each row should represent one horse’s run in one race. I need as much reliable historical information as possible about the horse, jockey, trainer, race and pre-race market.
Horse information:
Horse name and unique ID Age, sex Official/handicap rating Weight carried Previous form/results Speed/performance ratings Career runs, wins and places Earnings/prize money Days since last run Course/distance/going record Recent performance/form Any other useful historical horse variables
Jockey information:
Name/ID Career and seasonal runs, wins and places Win/place percentage Average finishing position Recent form Course/distance performance Horse-jockey history where available
Trainer information:
Name/ID Career/season runs, wins and places Win/place percentage Recent form Course/distance performance Trainer-jockey and trainer-horse history where available
Race information:
Race ID and date/time Course/track Race type Grade/class Distance Going/track condit