AUG 19, 2026 • NFL
PLAIN-LANGUAGE GUIDE
Each statistic is explained in context. Rates compare events with opportunities, rankings compare the subject with its peers, and model estimates describe likelihood—not certainty. The article states whether a higher or lower value is better.
Points per game mixes offensive quality with possessions, field position, opponent strength, and game state. A better question is how much value an offense produces relative to the difficulty and opportunity of each drive. That requires conditional estimates and uncertainty, not a single total.
Define DEI = 0.28Z(points above expectation) + 0.22Z(success consistency) + 0.18Z(explosive value) + 0.14Z(third-down leverage) + 0.10Z(red-zone conversion) minus 0.08Z(turnover cost). Inputs are standardized across a synthetic comparison set and capped at plus or minus 2.5 deviations.
A generated offense begins at its own 27-yard line on average and scores 2.31 points per drive against a context expectation of 1.94. It records a 47 percent synthetic success rate, creates 0.64 explosive-play points per drive, converts 43 percent of leverage-weighted third downs, and loses 0.28 points per drive to turnovers. The component scores produce DEI = 0.73.
For drive i, PAE equals actual points minus expected points based on starting field position, time, score state, and possession context. Sum PAE and divide by drives. If a synthetic offense scores 231 points where context predicts 194, PAE per drive is plus 0.37. This is more informative than raw scoring because it prices the opportunity.
Explosiveness and consistency are different skills. Define Consistency = mean play success minus 0.35 times the within-drive standard deviation. A synthetic unit with mean success 0.11 and deviation 0.20 scores 0.04. Another with mean 0.13 and deviation 0.34 scores 0.011, revealing greater fragility despite a higher average.
An explosive play already contributes to points above expectation. To avoid counting it twice, measure residual explosive value: the portion of drive outcome not explained by starting context and ordinary success rate. Regress drive value on context and success, then use the residual associated with explosive events as the component.
Not all third downs carry equal consequence. Weight each conversion by the expected-point swing between conversion and failure. A conversion with a 1.4-point swing counts twice as much as one with a 0.7-point swing. Weighted Conversion = sum of converted leverage divided by total leverage.
Turnover rate treats every giveaway equally. Turnover Cost uses the expected-point change at the event, including lost scoring value and opponent field position. Report both mean cost and the 90th-percentile downside. High efficiency with extreme tail risk may be difficult to sustain.
Split the synthetic sample into alternating drives, recompute every component, and compare rankings. Then bootstrap drives 2,000 times. A DEI estimate of 0.73 with a synthetic 90 percent interval from 0.34 to 1.05 is directionally strong but still uncertain. If the interval includes zero, label the offense inconclusive.
Efficient offense is repeatable value produced above contextual expectation with manageable downside. DEI rewards scoring, consistency, leverage performance, and explosives while penalizing turnover cost and controlling for opportunity. It is a transparent original framework, not a borrowed rating or a claim based on someone else’s data.
THE FINAL PULSE