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The inconvenience caused by injuries to sports professionals have become a major challenge both on and off the fields. Very occasionally, the players are injured during the practice sessions before the match and they end up suffering for long and these injuries also force them to withdraw from the matches and practices. Several applications of costly technologies have been applied to provide cures and well established attention measures for the injuries sustained but very less has been done to predict and thus prevent the occurrence of these injuries to the players. This is essential since once the injuries are predicted and prevented there will be no need to spend so much on curing these injuries. In addition to this, if an injury occurs and the players have to undergo an orthopaedic surgery their recovery has to be taken care off and a speedy recovery treatment plan has to be formulated. The capabilities provided by artificial intelligence algorithms could be exploited in the prediction of injuries and prevention of injuries to sports persons and aid in their recovery after orthopaedic surgery. The proposed methodology uses Machine Learning algorithm-Naive Bayes-that provides the capabilities of predicting sports injuries and administering recovery after orthopaedic surgeries for the players. Accuracy is a problem that faces the orthopaedic treatment where radiologists’ analysis is subject to errors. This problem makes it difficult to determine factors about skeletal tissues such as bone where they are unable to determine their actual nature before surgeries.