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What each statistic tells you
Carries: opportunity, not quality
A carry is a rushing attempt credited to a ball carrier. Carry totals show how much work a back received, not how well the back performed on each attempt. Compare carries with rushing yards and per-carry output before deciding whether a change in total production reflects a change in efficiency or simply a change in workload.
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Yards per carry: average output
Yards per carry is rushing yards divided by rushing attempts. It helps compare output across different workloads, but it compresses every run into one average. A handful of explosive gains can lift YPC even when many other carries produce little or lose yards. NFL Next Gen Stats cautions that rushing yards and YPC lack enough context on their own to reliably quantify rushing performance (NFL Next Gen Stats, “Intro to Expected Rushing Yards,” 2019).
Success rate: staying on schedule
Success rate is the share of plays that meet a defined success rule. A commonly used yardage convention treats a run as successful if it gains at least 40% of the yards to go on first down, 60% on second down, or converts the first down on third or fourth. For example, a four-yard gain can qualify on first-and-10 but fail on second-and-10; the same gain has different value because the situation differs.
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Success rate does not measure how large a successful gain was. It therefore complements YPC rather than replacing it. Definitions may differ in details such as goal-line or late-game cases, so name the provider and formula when comparing rates. C. B. Zakarian’s June 16, 2026 explanation describes the 40/60/100 convention and its purpose as measuring how often an offense stays on schedule (“Success Rate: The NFL’s Consistency Metric, Down by Down”).
Evaluate a struggling back in sequence
- Set the sample. State the games or season, carry count, statistical provider, and whether you are comparing totals, per-game output, or per-carry output. A small sample makes averages and rates volatile; the cited explanations do not establish a universal minimum number of carries that makes a judgment reliable.
- Separate workload from output. Compare carries and rushing yards, then read YPC. If total yards fell while YPC stayed similar, reduced opportunity may explain much of the decline. If YPC fell, average output per attempt declined, but that alone does not identify the cause.
- Check consistency alongside the average. If YPC looks respectable but success rate is weak, inspect the run-by-run gains: explosive plays may be lifting the average while many carries fail to keep the offense on schedule. Treat this as a clue to investigate, not proof that the runner is at fault.
- Restore the situation around each carry. Consider down and distance, defensive box count, blocking, scheme, and game script. A short-yardage attempt and a first-down run face different thresholds and may serve different strategic purposes.
- Add tracking-based context when available. NFL Next Gen Stats defines expected rushing yards (xRY) as the yardage expected on a carry based on the relative location, speed, and direction of blockers and defenders. Rushing yards over expected (RYOE) is actual rushing yards minus expected rushing yards; it can be reported per play or across a series, including per attempt. These measures require tracking data and a model, not just the box score (NFL Next Gen Stats).
- Limit the conclusion to what the numbers cover. Carries, YPC, success rate, and RYOE do not by themselves evaluate receiving, pass protection, health, or every assignment. Avoid diagnosing a specific player without stating the sample, definitions, and relevant team context.
Read the metrics together
| Metric pattern | What it may indicate | What to examine next |
|---|---|---|
| Many carries, low YPC, low success rate | Substantial workload, with low average output and frequent runs failing to stay on schedule. | Blocking and defensive fronts, down and distance, play design, and game script. |
| Few carries, reasonable YPC | The role or sample may be limited; the average does not establish that output would hold at greater volume. | Carry count and role. Do not treat a small sample as proof of sustained efficiency. |
| Strong YPC, low success rate | Explosive gains may be lifting the mean despite frequent short or negative runs. | Gain distribution, explosive-run contribution, and the success-rate definition. |
| Modest YPC, stronger success rate | Steady schedule-keeping gains may be occurring without many large runs. | Explosive-play measures and situational value; success rate ignores gain size. |
| Weak raw averages, positive RYOE | The back may be outperforming the tracking model’s expectation in the situations represented. | Sample size, model version, and blocking or scheme effects the model does not control. |
What expected rushing can—and cannot—add
Expected rushing measures add context to a carry by accounting for the relative positions, speeds, and directions of blockers and defenders. RYOE compares actual yardage with that modelled expectation. The metric can help explain why a raw average looks poor despite a difficult set of situations, or why production exceeded what the model expected.
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It is not a perfect isolation of individual talent. A tracking model cannot fully separate the runner from scheme or later-developing blocking, and its result depends on the model and inputs. NFL Next Gen Stats’ historical Nick Chubb example illustrates the scale of a single explosive play, not a performance target: it reported 88 actual yards, 7 expected yards, and +81 RYOE on an 88-yard touchdown run, along with a 12.4% first-down probability from the handoff situation. Those are figures for that example play, not typical values or current benchmarks (NFL Next Gen Stats, 2019).
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.There is no universal cutoff for a struggling back
The cited metric explanations do not establish a universal “good” YPC or success-rate threshold for diagnosing an individual runner. Compare a back with an appropriate sample and clearly identified provider definitions, then investigate how the carries were created and what situations they came in. The statistics describe different parts of performance; together they guide the next question, but they do not replace contextual judgment.
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