# Statbotics

> Use this tool when you need to analyze and predict FIRST Robotics Competition performance, as it provides statistical data on team EPA ratings, win rates, and historical trends through a freely accessible API with outputs including event details, match predictions, and year-over-year trends. It solves problems related to team performance evaluation, event forecasting, and data-driven decision making. Input queries can be customized to retrieve specific data, making it a valuable resource for teams and enthusiasts alike.

Canonical page: https://skillsregistry.net/skills/statbotics  
JSON: https://api.skillsregistry.net/v1/skills/statbotics

## Description

Integrates with the Statbotics API to provide FIRST Robotics Competition statistical data. Supports querying team EPA ratings, win rates, and historical performance, event details and predictions, match predictions and results, and year-over-year statistical trends from 2002 to present. No API key required as the Statbotics API is freely accessible.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/statbotics)
- **Repository:** <https://github.com/withinfocus/statbotics-mcp-server>

## 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": "statbotics"
    }
  }
}
```

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