# StatHead

> StatHead — dachhack-stathead. Use this tool when you need to analyze NFL fantasy football data, generate projections, or evaluate player values. StatHead provides live data, machine-learned projections, dynasty values, and prospect grades through an MCP server interface, solving problems such as fantasy team optimization and player valuation. Ideal for AI clients seeking to inform fantasy football decisions with data-driven insights.

Canonical page: https://skillsregistry.net/skills/dachhack-stathead  
JSON: https://api.skillsregistry.net/v1/skills/dachhack-stathead

## Description

An open NFL fantasy-football analytics platform that provides live data, machine-learned projections, dynasty values, and prospect grades via an MCP server for AI clients.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rict8up06w)
- **Repository:** <https://github.com/dachhack/stathead>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "dachhack-stathead"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dachhack-stathead` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dachhack-stathead/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt