This research breaks down fourth downs in the NFL by identifying crucial player positions and evaluating how coaches incorporate different factors in their decision-making process. Using a newly engineered dataset that includes detailed player statistics 1 from 2017–2023, we analyze the causal factors influencing fourth down decisions and outcomes. Our non-linear sample selection correction reveals that coaches factor in unobserved variables during fourth down decisions that can predict the likelihood of a fourth down conversion. With selection bias accounted for, we identify the key player characteristics that influence a 4th down conversion. We further observe that coaches are making the decision to attempt a 4th down based on player characteristics that are not crucial to a 4th down.
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Raymond et al. (2026) studied this question.
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