Personnel & Trenches

Special teams: why gross punting average is not net field position

Read returns, touchbacks and participation without inventing a proprietary special-teams grade.

P6
Pick6Labs
Site-authored educational guide • AI-assisted publication
Published 2026-09-06 · Revised 2026-10-242 min read

What this guide explains

  • •Gross punt distance and the opponent’s resulting field position are different quantities.
  • •Long snappers remain in the rankings without a fabricated performance OVR.
  • •A special-teams effect needs a defined source and model, not an unsupported points-per-game claim.

Educational guide, not an independently peer-reviewed study. Numerical examples are hypothetical unless explicitly sourced. This revision replaces unsupported statistics and model claims; it does not establish new predictive performance. Editorial and AI disclosure.

Start with what is actually recorded

Gross punt distance measures how far a punt travels under the source’s scoring convention. Net results also depend on what follows: returns, touchbacks, penalties and possession outcomes. A long punt that is returned far may leave worse field position than a shorter punt with no return.

In a simplified hypothetical example with five punts totaling 230 gross yards and 50 return yards, with no touchbacks or penalties, gross average is 46 yards and the return-adjusted average is 36. This toy arithmetic deliberately omits real-world complications. It is not a published league efficiency measurement or a full official net-punting definition.

The current punter comparison has limits

The Players Hub uses available gross yards per punt, inside-20 rate and avoided-touchback rate as its punter performance inputs. It sums recorded counts before rebuilding rates. Those inputs do not establish hang time, coverage assignment execution or a full field-position-adjusted model.

Inspect the opportunities and comparison group. A handful of punts can produce an extreme average, and one return can alter an interpretation of the same gross distance. An established-sample or provisional label provides context, but neither converts the index into an independent scouting assessment.

Include the players the box score can overlook

Long snappers and linemen can participate without a conventional receiving, rushing or defensive stat row. That is why the ranking population is built from game participation records in addition to box scores. Their lack of a familiar counting statistic is not a reason to omit them.

Where individual performance evidence is unavailable, a participation-only rank uses verified games played and ties equal counts. A #1 in that view means the greatest recorded appearance count under the rule; it does not mean best snap accuracy, fastest release or superior blocking. Those judgments need additional evidence.

Do not borrow a grade name without its model

A proprietary special-teams rating has its own data, adjustments and rights. A generic box-score comparison should not be labeled DVOA or presented as an equivalent calculation. The older URL is retained for continuity, but this guide does not publish or reproduce a DVOA rating.

Likewise, assigning a universal points-per-game swing to special teams would require a defined study. This guide makes no such claim. Its practical goal is to help a reader identify the recorded measure, the omitted context and the boundary between a useful source-backed comparison and a story the available data cannot support.

Sources and related tools

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Pick 6 Labs Analytical Methodology Notice

All statistical models, expected points added (EPA) distributions, and game simulations published by Pick 6 Labs are developed for advanced analytical research, editorial reporting, and mathematical entertainment. Pick 6 Labs is an independent sports analytics publication and does not operate as a gambling service or accept real-money wagers.

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