One measure, in full · Next Gen Stats: what holds · Rushing
Time to the line of scrimmage
Definition
One definition, the column that binds its range, and what the figure is a share of.
lag-1 autocorrelation of the player's weekly deviation from his own season mean
ngs_stability.within_lag1.rushing.avg_time_to_los
- Source
ngs; n counts independent players- Bound column
- starts 2016: ngs (first season on the release, measured in f_ngs_week) is not usable before it
- Denominator
- The subject's own total: no one else shares it.
- Season range
- Current 2016–2026. Current. Its inputs cover 2016 to 2026 and reach the season in progress.
- Refreshed
- This file was generated Thu, Nov 12, 9:43 AM ET. It does not state a refresh schedule.
Distribution
No distribution: the file is one figure for the whole league, not a value per player.
Does it carry?
No: the interval reaches zero, so this week says nothing measurable about next week.
Week-to-week carry-over
r = −0.01
[−0.06, 0.03] · n = 140 · 4,198 rows
Doesn’t carry over- Time to the line of scrimmagethis measure−0.01 [−0.06, 0.03]
- Expected rush yardsfor contrast−0.046 [−0.094, −0.002]
- Rush % over expectedfor contrast−0.11 [−0.15, −0.06]
Time to the line of scrimmage, among rushing stats
Time to the line of scrimmage: r −0.01 week to week (interval −0.06 to 0.03, 140 players). A week above his own average does not carry into the next.
Whether a player's week above his own season average is followed by another: the correlation of each week's deviation from his own mean with the next week's. An interval wholly above zero carries; one that reaches zero, or sits under it, does not.
- Time to the line of scrimmage−0.01
- Rushing efficiency−0.05
- Expected rush yards−0.05
- Carries against eight or more in the box−0.06
- Rush % over expected−0.11
- Rush yards over expected per carry−0.09
analytics/nfl/ngs_stability.within_lag1.rushing.avg_time_to_los.json · generated Thu, Nov 12, 9:43 AM ET
This stat, all three ways
| Measure | Estimate | Interval | n |
|---|---|---|---|
| Week to week | −0.01 | −0.06 to 0.03 | 140 players |
| Between players | 32% | 28% to 37% | 140 players |
| Naive | 0.31 | 0.25 to 0.38 | 140 players |
How it is measured
- Week to week
- lag-1 autocorrelation of the player's weekly deviation from his own season mean
- Between players
- share of variance between player-seasons
- Naive
- pooled lag-1 correlation of raw weekly values
- Interval
- Interval from resampling players with replacement, 2,000 times. Built at 95%.
- Sample
- n counts independent players, never weekly rows (4,198 weekly rows from those 140).
Leaderboard
No leaderboard: the file is one league-wide figure, not a value per player.
What the file does and does not say
Four limits, stated plainly.
- Interval from resampling players with replacement, 2,000 times. Built at 95%. That coverage is nominal: this page does not check it against outcomes.
- n counts 140 independent players, not the 4,198 rows behind them. Rows inside one player share a context, so counting them as the sample would draw the interval too narrow.
- It covers 2016 to 2026, and says why in the producer's words: starts 2016: ngs (first season on the release, measured in f_ngs_week) is not usable before it.
- It is one figure for the whole league, pooled. It does not say what any one player does, and it does not split by position.