Independent worksheet • stored Bo Nix / Kansas City context is unverified
What assumptions create this rushing-yard curve?
The worksheet adds assumed scramble yards, assumed designed-run yards, and a small chosen sack-rate adjustment. It then applies a normal distribution with a fixed spread. The outputs illustrate that model; no dataset establishes them as a real Bo Nix forecast.
Undated fixture with unverified analyst, partnership, historical efficiency, opponent rate, market line, and event. No training sample, held-out calibration, current odds, or verified settlement rules are supplied.
Default inputs produce 4 × 5.2 + 1 × 3.7 + (7.4 − 7.4) × 0.15 = 24.5 example yards. Against threshold 18.0, the gap is 6.5. With assumed standard deviation 11.5, the normal upper-tail calculation is about 71.4%. That percentage follows the chosen spread; it is not an observed hit rate.
NIST defines the normal model by its mean and standard deviation and notes that its assumptions should be tested. Here the spread 11.5 is fixed, not fitted to a supplied sample. The continuous curve extends beyond the displayed 0–50-yard chart, which is a crop rather than a complete outcome distribution. NIST: Normal distribution
A density height is not the chance of an exact yardage. Tail probability corresponds to area beyond a threshold. The code approximates the normal cumulative function, subtracts from one, clamps the result to 1–99%, and rounds to one decimal. The clamp can conceal extreme model outputs. NIST: Normal distribution
The model computes continuous Y greater than the selected threshold. Integer rushing results and differently worded “18+” or “over 18” markets can have different qualifying sets; this worksheet does not implement a verified settlement rule. Its bands at 60%, 70%, and 40% are chosen display thresholds, not betting recommendations.
The NFL statisticians’ guide distinguishes rushing plays from sacks and yards lost attempting to pass. A larger defensive sack rate does not automatically become extra rushing yards. This worksheet simply adds 0.15 yards for each percentage point above 7.4, without evidence of a causal conversion. NFL: 2025 Guide for Statisticians
Designed runs always use the stored 3.7-yard assumption. The sliders contain no verified event date, play-by-play classifications, attempts forecast, injury/availability inputs, or opponent-specific calibration. Those are missing evidence, not facts supplied by the curve.
Change the threshold to see the tail change without changing the modeled mean. Reset restores all five defaults. The cached Chart.js view samples density every two yards; the native fallback draws a continuous-looking curve and a threshold marker. These views illustrate the same assumed mean and spread.
Download JSON or text to retain the assumptions and source links. A useful real forecast would require dated observations, a justified distribution, and testing predictions against outcomes; the supplied numbers alone cannot establish that validation.
Mean, spread, density, cumulative probability, and assumption testing.
Official distinction between rushing plays and sacks; not validation of this formula.