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Average Depth of Target Explained: Same Targets, Different Fantasy Risk

2 days ago
5 min read

Eight targets can describe two very different afternoons. One receiver might get repeated short throws with room to run. Another might get several deep opportunities that never become receptions. Average depth of target, usually written aDOT, helps separate those assignments. It describes where targets go, not how many fantasy points a receiver deserves.


This is an evergreen Football Nation teaching guide checked October 20, 2026. Every player and game example below is hypothetical. No example is a current NFL ranking, projection or lineup recommendation. FN analysis is labeled by its reasoning rather than presented as a measured league probability.


What aDOT measures


For this guide, aDOT equals the sum of intended target air yards divided by the number of targets with valid depth information. Depth is measured down the field relative to the line of scrimmage. A target behind that line can have a negative depth. The measure is not the length of a receiver's route or the physical arc traveled by the football.


Mike Clay's original PFF explanation distinguishes target depth from yards per reception and emphasizes that incomplete targets also contribute. PlayerProfiler's glossary distinguishes target air yards from completed air yards and yards after catch. Those distinctions matter: a deep incompletion can affect target depth without producing receiving yards. Check your provider's treatment of missing depths and excluded plays before comparing tables.


Example one: calculate the mean


Suppose a receiver has five valid target depths. Add the signed depths first, then divide by five. Do not remove an incompletion simply because the pass did not produce a catch.


Target

Depth in yards

Result

1

−2

Caught

2

3

Caught

3

7

Incomplete

4

12

Caught

5

20

Incomplete

Total / mean

40 / 5 = 8.0

Three catches


The 8.0 figure describes this set of targets. It does not establish that the receiver ran five routes, caught passes eight yards downfield on average, or gained 40 receiving yards. We would need route counts, completed target depths and yards after catch to answer those separate questions. Targets and receptions are not interchangeable denominators.


The same average can conceal different distributions


A mean compresses a distribution into one number. Consider two more hypothetical five target samples. Receiver A gets depths of 8, 8, 8, 8 and 8 yards. Receiver B gets −2, −2, 0, 14 and 30. Both total 40 air yards and average 8.0. Their opportunities do not look alike.


For A, every target occurs at the same depth in this simplified example. For B, short opportunities coexist with a few long ones. If B misses the 30 yard target, his box score might look quiet even though a substantial opportunity occurred. That is a reason to inspect the play distribution, not an assurance that the next deep pass will connect.


FN analysis: when the average moves, ask which targets caused it. A single late deep throw can move a small sample considerably. A repeated change across multiple games, with stable route participation and a different mix of short and deep targets, gives a clearer reason to investigate a role change.


Example two: combine weeks with proper weighting


A common spreadsheet mistake is averaging weekly averages without accounting for their different target counts. Use the total depth and total valid targets instead.


Sample

Valid targets

Depth total / aDOT

Game A

2

40 / 20.0

Game B

8

40 / 5.0

Combined

10

80 / 8.0


The combined aDOT is 8.0, not 12.5. The latter gives a two target game the same influence as an eight target game. If the source only supplies rounded weekly averages, reconstructing the total can introduce rounding error. Prefer the underlying totals when available and state when a combined figure is approximate.


What changes for fantasy decisions


Target depth is a useful companion to opportunity volume. A deeper role may put more yards in play on a completed target, but depth alone supplies neither a catch probability nor a weekly scoring distribution. Quarterback accuracy, coverage, protection, target placement and the receiver's ability after the catch remain relevant questions.


For a transparent scoring comparison, assume one point per 10 receiving yards, six per receiving touchdown, and reception bonuses of zero in standard, 0.5 in half PPR and one in full PPR. Ignore all other events. A hypothetical six catch, 54 yard, zero touchdown line scores 5.4, 8.4 and 11.4. A two catch, 60 yard line scores 6.0, 7.0 and 8.0. Neither line can be calculated from aDOT alone.


Those examples show why the league format belongs in the decision. The first line wins the full PPR comparison despite fewer receiving yards. The second wins the standard comparison. They are illustrative results, not estimates of what a short or deep role will produce next week.


The strongest counterargument


A low depth role can still be fragile if the player runs few routes or loses targets when another receiver returns. A high depth role can also produce reliable volume when its receiver consistently participates and receives many targets. Labeling all short targets safe and all deep receivers unusable throws away that context.


FN's practical response is to read volume, depth and outcome separately. Start with routes and targets. Add the distribution of target depths. Then inspect catches, yards after catch and scoring opportunities. Compare the same provider and the same game window with the player's prior baseline. Do not substitute an old position average for a current player's job.


Common questions


Does a higher aDOT mean a better receiver? No. It describes target location under the chosen definition, not overall receiving quality. Can an incomplete pass count? Yes, if it is a valid target with a recorded depth. Is aDOT the same as yards per catch? No: the first uses targets and intended depth; the second uses receiving yards and receptions.


Can I multiply aDOT by targets to project receiving yards? Not directly. That product reconstructs intended air yard volume when the underlying definitions match. It does not account for incompletions or yards after catch. Missing depth records also prevent a simple comparison with every reported target.


Next checkpoint


At the next completed game, record route participation, valid target count, the depth distribution and any missing data. Recalculate the combined sample from totals. Change the fantasy assessment only when the new information changes the expected job or the scoring assumptions, not merely because one average rose.


Continue learning

Sources and information cutoff

Sources checked October 20, 2026 at 9:08:54 AM CDT (2026-10-20T14:08:54.465Z). Historical explainers support definitions only, not current player rankings. Worked examples and scoring models are explicitly hypothetical FN calculations.

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