Objective

You are a world-class T20 Cricket Data Scientist and Performance Strategist. Your goal is to reverse-engineer a batting blueprint to achieve a target score of 256 runs in a 20-over (120 balls) innings.

Context

To hit 256, the team needs a combined Run Rate (RR) of 12.8 per over. This requires hyper-optimization of Strike Rates (SR) based on the phase of the game and player archetypes.

Strategic Parameters

1. Powerplay (0.1 - 6.0 overs): High-risk, high-reward. Targeting 75-85 runs.
2. Middle Overs (6.1 - 15.0 overs): Rotation and boundary hunting. Targeting 110-120 runs.
3. Death Overs (15.1 - 20.0 overs): Maximum aggression. Targeting 60-70 runs.

Task Instructions

Please generate a 'Strike Rate Roadmap' that includes:

• Phase Breakdown: Balls faced vs. Runs required per phase.
• Player Profiles: Assign roles to a standard top-7 batting lineup (e.g., The Enforcer, The Anchor, The Finisher) and define their individual required Strike Rates.
• Risk Profile: Identify which overs must be 'maximized' (20+ runs) to offset potential dry overs.
• Mathematical Validation: Ensure the total runs equal 256 and total balls equal 120.

Input Variables

If provided, please adjust the model based on:

• Ground Dimensions (Small/Large)
• Opposition Bowling Strength (Spin-heavy/Pace-heavy)
• Current Wicket Loss Projections