Receiving Props and Target Share in the NFL

A receiving yards line looks like a single number about a single player. It is really the end of a chain with three links, and each link is decided by different people. The coaching staff decides how often a receiver is on the field running routes. The play design and the quarterback decide how often he is the one who gets the ball. The coverage, the throw and the receiver himself decide what happens after it arrives. Research that jumps straight to last week's yardage skips all three.

Our NFL research guide makes the general case that volume beats efficiency in football. This piece goes one level down, into the receiving game specifically: how to split a receiving line into parts you can check, what air yards add that target counts miss, and why a receptions prop and a yards prop on the same player are shaped so differently.

The three links in a receiving line

Write the expected receiving yardage as a product. Routes run, multiplied by targets per route, multiplied by yards per target. Every piece of information about a receiver lands in exactly one of those terms, and sorting news into the right term is most of the skill.

• Routes run is a playing time question. It moves with snap share, personnel packages, and how often the team drops back to pass at all.
• Targets per route is an earning question. It reflects where the receiver sits in the progression and which routes he is asked to run.
• Yards per target is an efficiency question. It bundles catch rate, depth of target, and what happens after the catch, and it is by far the noisiest of the three.

Target share, the fraction of the team's targets that went to one player, is the familiar summary, and it is useful. It is also a blend of the first two links. A receiver can post a modest target share because he earns targets at a strong rate but only plays in three receiver sets, or because he plays every snap and simply is not a focal point. Those two players have the same share and completely different upside if the depth chart changes. Splitting the share back into routes and targets per route tells you which one you are looking at.

Routes are the denominator most research skips

A target can only happen on a play where the receiver ran a route, so routes are the true opportunity count. Snap counts are a rough stand in, and the gap between them matters most for tight ends and running backs, who can be on the field for a pass play while staying in to block. A tight end with a high snap share and a low route share is a blocker who occasionally catches the ball, and his receiving line should be read that way.

Not every route is an equal chance at the ball either. The league's tracking data now classifies routes by type. According to the NFL Next Gen Stats route recognition introduction, the model assigns a route type to every eligible receiver on every pass play, and in its analysis go routes were run often but targeted rarely, while receiver screens were run rarely and targeted at the highest rate. The research consequence is that two receivers with identical route counts can have very different target expectations, depending on whether their routes are designed to pull coverage deep or to deliver the ball quickly.

Routes also move with team behavior you can observe. An offense that throws more runs more routes, so every receiver on it gets more chances. A change in the team's pass rate, whether from a new play caller or from a run of games played from behind, changes the first link for everyone at once, before any individual role has changed.

Air yards describe what kind of target it is

Target counts treat a two yard flat and a forty yard shot as the same event. Air yards separate them. The nflverse data dictionary for Next Gen Stats describes average intended air yards as the average air yards on all attempted passes, and it defines a receiver's share of intended air yards as his total intended air yards divided by his team's total, a measure of how much of the team's downfield passing he accounts for.

Air yards matter for props because they predict the shape of yards per target, not just its average. A deep target profile produces a lower catch rate and a larger gain on each catch. A short profile produces more catches with smaller gains, and the yardage then depends heavily on what the receiver does after the catch. The same dictionary lists tracking measures for the environment of each target, including cushion, the distance to the defender at the snap, and separation, the distance to the nearest defender when the ball arrives or falls incomplete. These are descriptive, not predictive on their own, but they help explain whether a receiver's efficiency came from getting open or from contested catches that are unlikely to repeat at the same rate.

A useful habit is to compare a receiver's share of targets with his share of intended air yards. When the air yards share is much larger than the target share, he is the downfield option and his week to week yardage will swing more. When it is much smaller, he is a volume option whose yardage is steadier and whose receptions line is usually the cleaner research question.

Why receptions and yards are shaped so differently

A receptions prop is a count. It cannot exceed the number of targets, it moves in whole numbers, and for most receivers it lives in a narrow band. A yards prop is a sum of catches of very different sizes, and one long play can decide it. The two distributions answer different questions even when they describe the same player in the same game, which is the point of reading a distribution rather than only its middle.

Yardage distributions for receivers are skewed to the right. Most games cluster near a typical value, and a minority of games with a long catch pull the average above the median. That gap is why an average based projection can sit above a line while the player still finishes under it more often than not. It is also why the deep target profile from the previous section matters: the more a receiver's value comes from rare long catches, the wider that gap tends to be.

Where the role data lives and how to check it

The tracking behind these measures comes from the league. The Next Gen Stats entry on Wikipedia describes location tags in players' shoulder pads read by receivers installed in each stadium, with the data used to derive advanced statistics and to automate player participation reports. Public receiving tables built from that data, plus play by play based sites that count routes and targets, are enough for a weekly check.

1. Confirm routes run over the last few games, not the season, and note any game where they dropped because of an injury or a blowout.
2. Compute targets per route and compare it with the receiver's longer history, remembering that a few games of targets is a small sample.
3. Compare target share with share of intended air yards to see whether he is a volume option or a downfield option.
4. Check who else is available this week. A returning receiver or tight end takes routes before he takes targets.
5. Only then look at yards per target, and shrink any extreme recent value hard toward his role's typical rate.

Roles shift during the season as well as between seasons. The league's announced calendar puts the trading deadline at 4:00 p.m. New York time on Nov. 10, and a trade in either direction redraws the route tree for everyone left behind. Role changes and props covers how to size that kind of shift in units of opportunity before trusting any new stat line.

Every receiver on a team shares one quarterback

Receiving props on the same team are not independent. They draw from one pool of pass attempts, so a game in which the quarterback throws often and well lifts most of his receivers together, and a game in which the offense stalls lowers them together. At the same time, targets are finite, so within a given volume of passing one receiver's big day partly comes at another's expense. Correlation in player prop research works through both effects, the shared environment and the competition for the same resource, and both apply here with unusual force.

The practical rule is to know which of the two dominates before combining legs. Pairing a quarterback's passing line with his main receiver leans on the shared environment. Pairing two receivers from the same team with overlapping roles leans on both at once, and the competition for targets can quietly cancel what the shared environment adds.

What this breakdown cannot tell you

The chain makes receiving research more precise. It does not make a receiving line predictable. Seventeen games of targets is a thin record, the long catches that decide yardage props are rare by nature, and coverage plans change weekly in ways the public data only partly captures. The honest output of this process is a better estimate of volume and a clearer picture of the distribution's shape, not a confident call on any single game.