MCP For Claude Marketplace
Acute:Chronic Workload Ratio (ACWR) Analyzer

Acute:Chronic Workload Ratio (ACWR) Analyzer MCP Connector for Claude

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Predict injury risk by analyzing the relationship between recent and long-term training loads.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

The ACWR Analyzer connects AI agents to sports science metrics, allowing for precise monitoring of athlete training stress. Using tools like calculate_acwr_series, evaluate_risk_tier, detect_load_trend, and generate_training_prescription, the server calculates the ratio between acute (recent) and chronic (baseline) workloads. It identifies potential injury zones, such as the 'Danger Zone' for high-intensity spikes, or 'Under-training' for insufficient load. Coaches can use this to receive actionable training prescriptions based on real-time workload fluctuations.

acwrinjury-preventionathlete-performanceworkload-managementsports-analytics

4 tools expose this connector's capabilities to your AI agent.

evaluate_risk_tier

Evaluates injury risk tier

detect_load_trend

Detects training load trend

calculate_acwr_series

Calculates a series of ACWR values

generate_training_prescription

Generates coaching advice

See how to talk to your AI agent using Acute:Chronic Workload Ratio (ACWR) Analyzer.

Calculate the ACWR for these weekly loads: [100, 120, 110, 150] with a 4-week chronic window.

The calculated ACWR for the latest week is 1.25, which falls within the Safe Zone.

What is the injury risk if my current ACWR is 1.6?

A ratio of 1.6 puts the athlete in the Danger Zone, indicating a high risk of injury due to an excessive workload spike.

Analyze the trend for these ACWR values: [1.0, 1.1, 1.3, 1.4].

The training load trend is increasing, with a volatility of approximately 0.15.

It processes a sequence of weekly training loads to generate a series of ACWR values and summary statistics.

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