With accurate player-availability predictions for all active players, AI-powered decision-making is dramatically improved around three dimensions: 1) Risk management: If a productive wide-receiver is likely to get hurt, for example, a team might invest more in talented backups, to minimize drop-off in team performance during injury. 2) Training and targeted interventions: If AI suggests a player is injury-prone, teams can target that player with customized training, nutrition, or other regimens to reduce the likelihood of injury. Alternatively, a team might choose to reduce a player’s workload, also reducing risk. 3) Personnel decisions: By identifying factors that predict injury or other unavailability, teams can draft, trade for, or otherwise acquire players that they believe are more likely to be available season-long. Additionally, teams may choose to trade players for whom injury seems likely.
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