The fourth-down decision
Every fourth down is a choice between three actions: go for it and try to keep the drive alive, punt and flip field position, or attempt a field goal for three points. For decades coaches defaulted to punting, but modern analytics show that on short yardage and near midfield, going for it is frequently the higher-value play. This tool puts numbers on each option so you can see why.
Why expected points tells a different story than conventional wisdom
Traditional football coaching culture treated a failed fourth-down conversion as a catastrophic mistake — giving the opponent the ball in good field position with momentum. Punting felt safe even when it meant voluntarily surrendering the ball with nothing to show for the drive.
Expected-points analysis reframes this by asking: on average, how many points does each decision generate across thousands of similar situations? The math reveals several counterintuitive findings:
- On 4th-and-1 near midfield, the conversion rate is high enough that going for it beats punting in expected value.
- Punts from your own territory are worth relatively little because the opponent starts in moderate field position either way.
- Field goals below about 45 yards are valuable; beyond 50 yards the make probability drops enough that they compete with going for it on short yardage.
The reason coaches historically chose differently is that a failed fourth down is highly salient — visible, criticised, and attributed directly to the coach’s decision. A punt that leads to a touchdown drive is less visible. Expected points cuts through those biases.
How it works
The engine compares the expected points of each choice. Going for it is scored as:
go EP = P(convert) * EP(new first down) + P(fail) * EP(opponent ball)The conversion probability comes from historical NFL rates by yards to go — about 68 percent on 4th-and-1, dropping to roughly 30 percent at 4th-and-10. Field position is valued on a linear scale running from about plus six points at the opponent goal line to negative values deep in your own territory. A failed fourth down hands the opponent the ball, so their field-position value is subtracted from your perspective. The field-goal option weights three points by the make probability for that attempt distance, and the punt option estimates the opponent’s starting field position after a net 40-yard punt.
When the model’s recommendation changes
Field-goal range (roughly inside 45 yards). When a make is likely, kicking three points is often worth more than the risk of a turnover on downs with good field position. The model reflects this: inside 45 yards, field goal frequently wins.
Short yardage near midfield. The conversion rate on 4th-and-1 or 4th-and-2 is high, a failed conversion only gives the opponent moderate field position, and a punt yields a similar field position anyway. Going for it usually wins.
Deep in your own territory. A failed conversion here gives the opponent the ball close to the end zone. Punting away to flip field position is usually the better play, and the model will say so.
Situation-specific adjustments the model does not make
This calculator optimises for expected points and deliberately ignores clock and score. Real fourth-down decisions need situational overlays:
- Trailing late in a game: kicking a field goal when you need a touchdown is wrong even if it has higher expected points.
- Protecting a lead with a fast opponent: a conservative punt that eats clock may be right even when expected points favour going for it.
- Your offence vs. their defence: league-average conversion rates may not reflect your team’s capability on a specific game day.
Treat the recommendation as the analytically neutral baseline, then apply context.