RFL

RFL

Robot Football League (RFL) is an open, daily-streamed competitive league of simulated two-a-side Unitree G1 humanoid robots. It provides an open-source engine, rules, reference clubs and public match telemetry so developers, researchers and teams can run matches locally and qualify to have their code run on real robots.

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Free API 70/100
#13 in Gaming (13 tools)
Just launched
Data reviewed Aug 27, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: Software & Gaming

What it does

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Best fit

Software & Gaming

Pricing snapshot

Free from Free

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RFL

RFL (Robot Football League) runs a daily, open competition of simulated two-a-side Unitree G1 humanoid robots using MuJoCo physics and a shared player stack shape similar to RoboCup humanoid teams. The project publishes its engine, rules, reference clubs, match logs, telemetry and every club's commit history so anyone can reproduce matches locally, enter teams, and audit play. The simulation functions as a qualifying round: the stated goal is to progress to live matches where winning code is run on real Unitree G1 hardware on a real pitch.

The Robot Football League: 2v2 simulated Unitree G1 humanoids playing competitive football, three matches a day, streamed on Twitch and in spatial 4DGSx. The engine, the rules and every club are open source — anyone can enter a team.

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Key Features

Open-source engine & rules

The league engine and rules are public and MIT-licensed, with a working reference club available on GitHub.

Simulated Unitree G1 humanoids in MuJoCo

Two-a-side Unitree G1 humanoids simulated in real physics (MuJoCo), walking on a pretrained policy and using the same stack shape as RoboCup humanoid teams.

Real-robot constraints enforced

Players see only what a real G1 could see (onboard camera and team radio), use a 2-second decision cycle, and motion goes through the interfaces a real G1 exposes.

Full transparency and auditability

Every club's code, match logs, telemetry, radio communications and commit histories are published and visible.

Daily streamed matches and 3D replays

Matches are streamed daily and replays can be watched in 3D (4DGSx spatial streaming and standard streams like Twitch/YouTube).

Reference club & quick start

A reference club and demo brains are provided; example commands show how to run a match locally in minutes.

Pricing

Free Tier Available

Yes — the engine, rules and reference club are open-source (MIT) and matches are free to watch.

Open / Free

Free
  • Engine and rules MIT-licensed
  • Free-to-watch daily streams
  • Reference club and example demo brains included

Use Cases

Research and development in humanoid robotics

Researchers can use the MuJoCo-simulated Unitree G1 environment and published telemetry to develop perception, control and multi-agent strategies.

University and robotics club competitions

Universities and robotics groups can fork the reference club, modify behaviours and enter teams in an open league designed to be reproducible on real robots.

AI agent development and benchmarking

Teams can test frontier AI models or custom controllers in daily matches and publicly compare performance using published logs and commit histories.

Spectatorship and education

Matches are free to watch and streamed daily, with 3D replays that support learning about robot behaviour and match dynamics.

Integrations

MuJoCo physics

Simulation of Unitree G1 humanoids uses MuJoCo physics for real-physics behaviour.

Unitree G1 robot model

The robot model (Unitree G1) is used as the simulation target; model copyright noted on the site.

GitHub (engine & code hosting)

Engine, reference club and full commit history are hosted on GitHub for cloning, development and auditing.

Streaming platforms (4DGSx, Twitch, YouTube)

Matches are streamed daily with support for 4DGSx spatial 3D viewing and standard streaming platforms.

Benefits

Open, reproducible platform that publishes engine, rules, club code and telemetry for transparency and auditability
Fast onboarding with a reference club and example commands to run a match locally in minutes
A clear path from simulation to real hardware: winning code can be run on physical Unitree G1 robots

Limitations

Current competition is a simulated qualifying round; the stated goal is to move to live matches on real hardware
Teams must adhere to real-robot constraints (camera-only perception, team radio, 2-second decision cycle) which restrict allowed approaches
The platform depends on the provided simulation stack and reference models (Unitree G1 in MuJoCo); results are conditioned on that environment

Frequently Asked Questions

No verified FAQs are available.

Getting Started

  1. 1 Clone the engine repository: git clone https://github.com/robot-football-league/rfl-engine
  2. 2 Install the engine: cd rfl-engine && pip install -e .
  3. 3 Run a demo match: python -m gauntlet rfl examples/mock_united \ examples/mock_united --video match.mp4
  4. 4 Fork the reference club, modify behaviour, and enter your team following the league rules

Support

docs

Engine and examples are available on GitHub: https://github.com/robot-football-league/rfl-engine

contact

General contact page on the site: https://rfl.football/contact

streams & community

Watch matches and follow broadcasts via the site links to Twitch, YouTube and 4DGSx for community interaction

API

Available: No
Documentation:

https://github.com/robot-football-league/rfl-engine

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