Real-time interior pass-rush projection against the New York Giants offensive line structure.
| Scenario / Historic Match | Opponent | Double Team % | Pass Rush Win % | Pressures | Sacks | Disruption Rating |
|---|---|---|---|---|---|---|
| Week 2 Debut | New York Giants | 68.0% | 24.5% | 8 | 1.5 | Elite Disruptive Potential |
| Super Bowl LVI | Cincinnati Bengals | 71.4% | 28.2% | 7 | 2.0 | Championship Game Seal |
| 2020 Week 13 | Arizona Cardinals | 66.0% | 26.0% | 9 | 1.0 | Dominant Front Force |
| 2018 Career Peak | San Francisco 49ers | 62.5% | 29.4% | 10 | 4.0 | Historic 20.5-Sack Pace |
A one-minute painted explainer of this analyzer's formula, from win rate and double teams to pressures, sacks and the impact score, followed by the real career numbers behind it.
This tool imagines Aaron Donald's reported return: a Week Two debut against the New York Giants. Four sliders feed one model, and it turns them into pressures, sacks and an impact score. First, the rush itself. The model blends his pass-rush win rate, twenty-four point five percent, with a Giants weakness factor of fourteen point two, for a raw rush rate near nineteen and a half. Then the double teams. At sixty-eight percent, two blockers on him most snaps, the model shrinks that rate by about a fifth, to sixteen. Now play the game. Of fifty-two snaps, the model treats about two-thirds as pass rushes, and its scaling lands the default at eight pressures. A fixed three in sixteen become sacks: one and a half. The impact score adds four pieces: win rate, double-team rate, pressures and sacks, for ninety-four point eight, elite. Here's the twist: double teams cut his pressures, yet they raise the score, crediting him for drawing extra blockers. Try the Max Double-Team preset. At seventy-five percent, pressures fall to six and the score to eighty-four point five. Real games are far noisier, so treat it as a what-if.
Raw rush rate = 0.45 × win rate + 0.6 × Giants OL delta, multiplied by (1.15 − double-team rate ÷ 200). Pressures = snaps × 0.64 × that rate ÷ 65, rounded; sacks are always 3/16 of pressures. With the defaults (24.5%, 68%, 52 snaps, 14.2) that gives 8 pressures and 1.5 sacks.
In the tool, a higher double-team rate lowers pressures but adds 0.35 points per percent to the impact score. Raising it from 68% to 75% with the Max Double-Team preset (which also lowers the other inputs) drops pressures from 8 to 6 and the score from 94.8 to 84.5.
Donald played 2014–2023 for the Rams, recording 111 regular-season sacks, three AP Defensive Player of the Year awards (2017, 2018, 2020), ten Pro Bowls and a Super Bowl LVI win before announcing his retirement in March 2024.
The page is built around a reported comeback debut in Week 2 against the Giants. Treat its projections as a what-if built on that premise; the impact score is the tool's own 0–100 scale, not an official NFL statistic.
Career summary, awards and retirement.
Season-by-season sacks and games.
The game behind the tool's Super Bowl LVI Peak Form preset.
How sacks are defined and counted.
Official tracking-based pass-rush and pressure data.
Numbers in the video come from this analyzer's built-in formula and default inputs; they illustrate the model, not a forecast of any real game.
How does this simulator convert pass-rush win rate, double-team rate, and defensive snap counts into projected pressures and sacks?
This interactive page models Aaron Donald's pass-rushing impact using a deterministic heuristic formula rather than live tracking telemetry or official game outcome predictors. It combines an input pass-rush win rate (PRWR) with an opponent offensive line delta factor, discounts the product as double-team percentage climbs, and scales the resulting rate across an assumed pass-rush snap share (64% of total defensive snaps) to estimate pressures, sacks, and an arbitrary impact score.
The calculations in this browser tool are illustrative heuristics rather than official NFL Next Gen Stats or empirical regression models. True pass-rush productivity depends on offensive scheme, time to throw, blitz packages, chip blocks, and game script, which are not captured by these static coefficients. Furthermore, Aaron Donald announced his NFL retirement in March 2024; debut and matchup scenarios presented here function solely as exploratory simulations.
Click the 'Super Bowl LVI Peak Form' preset button. The inputs update to 28.2% PRWR, 71.4% double-team rate, 61 projected snaps, and 16.5% interior OL delta factor. Through the model formula, projected total pressures rise from 8 to 11, projected sacks increase from 1.5 to 2.1, and the Defensive Disruptive Impact Score shifts from 94.8 to its maximum ceiling of 99.9.
The client-side calculation estimates a composite pressure rate using the formula ((prwr * 0.45 + delta * 0.6) * (1.15 - (dtr / 200))). Here, PRWR and the opponent line delta factor drive the baseline rate, while double-team rate reduces efficiency linearly. The code then estimates raw pressures by assuming 64% of total defensive snaps are dropback pass-rush snaps, multiplying by (pressureRate / 65), and rounding to the nearest integer.
Projected sacks are calculated as a fixed ratio of 18.75% of projected pressures (projected_pressures * 0.1875) rounded to one decimal place. This represents an assumed interior sack-conversion rate rather than tracking quarterback depth, pocket containment, or scramble frequency.
The tool computes a composite impact score using (prwr * 1.4) + (dtr * 0.35) + (pressures * 3.5) + (sacks * 5.6) + 0.3, clamped between a minimum of 40.0 and a maximum ceiling of 99.9. Matchup rating strings are assigned conditionally: scores of 90.0 or higher yield 'Elite Disruptive Potential', 80.0 to 89.9 show 'High Impact Threat', 65.0 to 79.9 indicate 'Above Average Interior Presence', and scores below 65.0 display 'Controlled Matchup'.