how to deal with features in pairwaise comparison models?

I am working on a dataset of ATP (Association of Tennis Professionals - men only) tennis games over several years. I want to predict the outcome of tennis so one way to do that is using a Bradley-Terry model which is a probability model I am asking about how to do feature selection or feature engineering( I am not talking about domain knowledge FE) or preprocessing that must be applied before training the model

Topic probability feature-engineering preprocessing feature-selection predictive-modeling

Category Data Science

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