---
title: ToolRouter — Agent Use Case Guide
description: Step-by-step guide for completing a task with a specific AI agent using ToolRouter.
url: https://toolrouter.com/tools/sports-scores/use-cases/research-player-statistics/openclaw
---
# How to Research Player Statistics with OpenClaw

OpenClaw processes sports data queries as structured pipeline operations, returning scores, standings, schedules, and historical results in clean formats ready for automated dashboards, notification systems, or content generation workflows. It handles batch data pulls across multiple leagues, date ranges, and teams in a single pass, making it the right tool for building sports data infrastructure that needs reliable, scheduled access to live and historical game information.

## Setup

openclaw mcp add toolrouter -- npx -y toolrouter-mcp

## Steps

1. Connect ToolRouter: openclaw mcp add toolrouter -- npx -y toolrouter-mcp
2. Ask OpenClaw: "Get all Chiefs game results this season"
3. OpenClaw returns game-by-game scoring data
4. Analyze player contributions across games
5. Use insights for fantasy decisions or content

## Example Prompt

```
Pull all Kansas City Chiefs game results and highlight Patrick Mahomes' performances. Any standout or poor games?
```

## Tips

- Look at game context when evaluating stats -- opponent strength matters
- Track player performance trends over time rather than single-game snapshots
- Compare players at the same position for trade or roster decisions
