Aaron Donald Return Impact and Defensive Matchup Analyzer
Modeling Los Angeles Rams pass-rush gravity, disruption index, and win probability shift following Friday's announcement.
| Scenario Dimension | Rams Baseline | With Aaron Donald | Net Shift |
|---|---|---|---|
| Total Pressure Rate | 28.4% | 39.2% | +10.8% |
| Double-Team Draw Rate | 34.1% | 68.5% | +34.4% Gravity |
| Expected Points Added (EPA/play) | -0.02 | -0.14 | -0.12 (Elite Defense) |
The pressure factory: how this analyzer turns snaps into an Aaron Donald impact score
A one-minute painted explainer of the analyzer's built-in formulas, followed by what they assume and where to read more.
Read the narration
This analyzer imagines Aaron Donald's return on Monday night against the Giants. Four sliders go in, four numbers come out. Think of it as a little factory. First, pressures. Forty-five snaps times a twenty-four point two percent pass-rush win rate gives about eleven winning snaps. The model keeps fifty-nine percent of them, for six point four pressures. Run stops work the same way. It assumes forty-two percent of snaps are runs, wins thirty-one percent of those, and keeps seventy-two percent: four point two run stops. Then the payoff. Each pressure adds half a point of win probability, and each run stop about four tenths, for a boost of four point eight percent. The disruption index is a weighted sum of three sliders: eighty-eight point four. Double teams only feed this number, so more of them raise it, and with Peak Prime Form it passes one hundred percent. Try Restricted Snaps: twenty-eight snaps give three and a half pressures and a two point six percent boost. Real games are far noisier than these straight-line rules.
What the formulas assume, and what's real
Straight-line scaling
Pressures = snaps × pass-rush win rate × 0.58778, and run stops = snaps × 0.42 × run-stop win rate × 0.7169. The odd constants are calibrated so the default inputs land on 6.4 and 4.2; every output scales in proportion from there.
A 'percentile' that isn't one
The Disruption Index is 1.35 × win rate + 1.12 × run-stop rate + 0.3065 × double-team rate, shown with a % sign. It isn't capped, so the Peak Prime Form preset reaches 101.6%.
Double teams cut both ways in reality
In the tool, the double-team slider only raises the Disruption Index; it never lowers pressures. On the field, a double-teamed lineman usually wins less often himself while freeing teammates.
The real Aaron Donald
Donald played ten seasons for the Rams, won Defensive Player of the Year three times and Super Bowl LVI, and announced his retirement in March 2024. The Monday-night return is this page's premise; check current news before treating it as fact.
Try it in the tool
- Click Restricted Snaps, then Full Workload, and compare Projected Pressures and Win Probability Boost.
- Drag Double-Team Rate Faced (%) from 40 to 80: only the Disruption Index moves.
- Click Peak Prime Form and look at the Disruption Index, which passes 100%.
Sources and further reading
- Aaron Donald · Wikipedia
Career overview, awards and the March 2024 retirement.
- Aaron Donald Stats, Height, Weight, Position · Pro-Football-Reference
Season and career statistics.
- Defensive tackle · Wikipedia
The interior line role, gaps and double teams.
- NFL Next Gen Stats · NFL
Official tracking data for pass rush and pressure.
Numbers in the video come from this analyzer's built-in formulas and default inputs; they illustrate the model, not a forecast of any real game.
Aaron Donald Defensive Disruption Model & Heuristic Formulas
How does this simulator calculate pressures, run stops, disruption index, and win probability boost from slider inputs?
This simulator uses hard-coded linear heuristics rather than tracking live NFL telemetry. For any chosen snap volume and win rates, projected pressures equal snaps multiplied by the pass-rush win rate fraction and a scaling factor of 0.58778. Projected run stops follow 42% of defensive snaps scaled by the run-stop win rate fraction and 0.7169. Win probability boost combines those two outputs with fixed weightings, while the disruption index is a linear sum of both win rates and the double-team rate.
All outputs are derived from simplified client-side multiplication formulas and static weights rather than real tracking cameras, Next Gen Stats chips, or in-game play-by-play data. The model treats pass-rush and run-stop opportunities as fixed fractions of total snaps regardless of actual down-and-distance, offensive personnel groupings, or game script.
Try a worked example
Clicking the 'Full Workload' preset sets defensive snaps to 55, double-team rate to 72.0%, pass-rush win rate to 25.5%, and run-stop win rate to 33.0%. The script evaluates 55 * 0.255 * 0.58778 to display 8.2 projected pressures, and 55 * 0.42 * 0.33 * 0.7169 to display 5.5 projected run stops. Combining these yields an estimated win probability boost of +6.2% and a disruption index of 93.5%.
Pressure and Run-Stop Formulas
The script calculates projected pressures using `snaps * (prWin / 100) * 0.58778`. For run stops, it assumes 42% of defensive snaps are run-oriented and multiplies by `(rsWin / 100) * 0.7169`. These multipliers are calibrated so that the default fixture (45 snaps, 24.2% PRWR, 31.0% RSWR) yields exactly 6.4 pressures and 4.2 run stops.
Disruption Index and Win Probability
The composite Disruption Index computes `prWin * 1.35 + rsWin * 1.12 + dblRate * 0.3065`, weighting pass-rush wins highest. The Win Probability Boost calculates `projected_pressures * 0.5 + projected_run_stops * 0.38`. Defensive Expected Points Added (EPA) is then estimated as `-0.02 - (win_probability_boost_pct * 0.025)`, shifting net baseline disruption downward.