Source: @AdamSchefter / Bears HC Ben Johnson: Caleb Williams "will likely miss some time" (hamstring)

QB Injury Timeline & Spread Impact Modeler

Simulate recovery hazard rates for hamstring injuries, offensive drop-off metrics (EPA/play), game line adjustments, and divisional playoff odds swings.

Efficiency Delta
-0.22
EPA/play dropoff
Est. Point Spread Shift
+3.5
Points against team / game
Expected Points Lost
-9.1
Total across missed window
Playoff Odds Swing
-14.2%
Net post-season leverage
Empirical Hamstring Clearance Probability by Week

Based on 10-year NFL quarterback soft-tissue injury strain cohort records.

Grade 2 Strain Modeled
Upcoming Schedule Leverage & Win Probability Impact

Simulated game margins with Williams vs. Backup under current recovery trajectory.

Game / Week Opponent Status Starter Line Adjusted Line Starter Win % Backup Win % Win Prob Δ
Model updated. All spread and EPA differentials recomputed.

Source Grounding & Real-World Context

On September 21, ESPN senior NFL insider Adam Schefter reported that Chicago Bears head coach Ben Johnson announced QB Caleb Williams is considered "week to week" following a hamstring injury suffered Sunday, with morning MRI imaging confirming the diagnosis. Williams is expected to "miss some time."

In modern NFL roster management, a starting quarterback's absence produces the sharpest market correction of any position in professional sports. This interactive tool models the cascading effects of hamstring strains across:

  • Physiological Clearance Curves: Return-to-play hazard distributions based on MRI strain severity.
  • Offensive Down-shift (EPA/play): Expected points added drop-off from starter to replacement.
  • Market Spread Adjustment: The 2.5 to 5.5 point line penalty applied by oddsmakers when starting QBs sit.

Methodology & Mathematical Framework

EPA to Point Spread Translation: An average NFL offense runs approximately 63 offensive plays per contest. A -0.22 EPA/play drop translates to approximately -13.8 expected points over a full 60-minute regulation game, though compensatory game scripts (increased run rate, conservative field position) typically compress the realized margin difference to 3.5–4.5 points.

Win Probability Calculation: Game win probabilities are computed via normal cumulative distribution approximations: P(Win) = Φ((Spread) / (σ=13.8)) where σ represents single-game NFL score variance.

All evaluations run locally on your device with zero external latency.

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