# Defensive Action Rates AI Agent Connect

> Defensive Action Rates MCP gives your AI agent direct access to granular football defensive data. It handles the heavy lifting of normalizing stats like actions per 90 minutes and duel win percentages, so you can focus on analysis. Use it to pull player summaries, team profiles, or compare efficiency across different positions and roles.

## Overview
- **Category:** analytics
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_BtR6yqP1G8URhsAE2tMfvaZiIFjhFGuGOpLisTUd/ai-agent-connect
- **Tags:** soccer, defensive-stats, player-metrics, team-analysis, football-data

## Description

You can now run deep defensive analysis without manually hunting for normalized stats. This MCP connects your AI client to a specialized dataset designed for football performance evaluation. Instead of wrestling with raw numbers, you can ask your agent to pull specific player summaries or look at how a team's defensive profile shifts across different matches. 

It handles the math for you, specifically regarding actions per 90 minutes and duel win percentages. This means your agent can provide accurate comparisons between players or evaluate how a specific role, like a defensive midfielder, performs relative to the rest of the squad. Whether you are looking for individual volume metrics or team-wide efficiency, the data is ready for your agent to process and interpret immediately.

## Tools

### compare_defensive_efficiency
This tool compares the defensive efficiency of one player against another or against a team average.

### get_defensive_action_rates_by_role
Use this to see how defensive metrics change depending on a player's specific role on the pitch.

### get_player_defensive_summary
This tool pulls a player's core defensive volume and efficiency metrics in one go.

### get_team_defensive_profile
This tool provides a full view of how effective a team's defense is across all primary defensive actions.

## Prompt Examples

**Prompt:** 
```
What are the defensive stats for player ID 'p123'?
```

**Response:** 
```
Player p123 has an actions per 90 rate of 4.5 tackles and a tackle success rate of 72%.
```

**Prompt:** 
```
How does player 'p123' compare to team 't456' in defensive efficiency?
```

**Response:** 
```
Player p123 has a 5% higher tackle success rate compared to the average for team t456.
```

**Prompt:** 
```
Show me the average defensive metrics for midfielders.
```

**Response:** 
```
The average for midfielders includes 3.2 interceptions per 90 and a 65% success rate on duels.
```

## Capabilities

### Normalized Stat Calculation
Your agent uses this to convert raw defensive actions into per 90 minute rates.

### Efficiency Benchmarking
The AI compares individual player success rates against team or positional averages.

### Positional Trend Analysis
Your agent identifies how defensive workloads vary between different player roles.

### Team Profile Generation
The AI builds a complete defensive overview for an entire squad.

## Use Cases

### Player Scouting
Compare a target player's defensive efficiency against the league average to find undervalued talent.

### Post-Match Analysis
Pull a team's defensive profile to see how their defensive actions performed during a specific game.

### Tactical Planning
Analyze how defensive metrics vary by role to adjust player positioning.

### Performance Benchmarking
Check a player's core defensive volume to see if they are meeting specific performance targets.

## Benefits

- Automates the calculation of actions per 90 minutes.
- Provides direct comparisons between players and team averages.
- Standardizes duel win percentages for easier evaluation.
- Eliminates the need to manually aggregate positional data.

## How It Works

You connect the MCP to your AI client and start asking questions about football data.

1. Connect your preferred AI client to the Vinkius hosted MCP.
2. Ask your agent a specific question about a player, team, or role.
3. The agent invokes the necessary tool to fetch and normalize the data.
4. Your agent delivers the calculated metrics or comparisons directly in your chat.

## Frequently Asked Questions

**What kind of football data does this MCP provide?**
It provides defensive metrics including actions per 90, tackle success rates, and duel win percentages.

**Can I compare two different players?**
Yes, you can use the efficiency comparison tool to see how one player performs against another or against a team average.

**Which AI clients can I use with this MCP?**
You can use any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

**Does the MCP handle data normalization?**
Yes, it automatically handles complex normalization like calculating actions per 90 minutes.

**Can I see how different positions defend?**
Yes, the tool for defensive action rates by role allows you to see how metrics vary between different player positions.

**How is the 'actions per 90' metric calculated?**
The `get_player_defensive_summary` tool calculates actions per 90 by multiplying the raw action count by ninety and dividing by the total minutes played.

**Can I compare a specific player to a team average?**
Yes, you can use `compare_defensive_efficiency` and set the `comparisonType` to 'team' to evaluate a player against a team's average performance.

**What happens if a player has zero defensive actions recorded?**
If a denominator such as total attempts or minutes is zero, the specific rate will be returned as null with an explanation provided in the response.