Lets play weighted rock paper scissors. Try to find a winning strategy.

Scoring System

🪨 Rock = 3 points 📄 Paper = 1.5 points ✂️ Scissors = 1 point
Make your choice to start playing!
Your Score
0
AI Score
0
Rounds Played
0

📊 Game Statistics

Your Rock %
0%
Your Paper %
0%
Your Scissors %
0%

Did you find a winning strategy?

The answer is no. You didn’t. The AI is playing a Game Theory Optimal (GTO) strategy which means you can only ever draw.

Run some simulations to check for yourself.

🏆 Rock Paper Scissors Tournament

Simulate strategies competing in weighted RPS games

Game Weights

Simulation Settings

Your Custom Strategy (Required)

Total: 100% (must equal 100%)

Select Opponent Strategies

As always I think you should play around and draw your own conclusions, but here’s a few quick lessons:

  • Think about “overall strategies” not individual instances.
  • Small sample sizes lie. 100 is a small sample size.
  • The “unexploitable” strategy is never the “best” strategy.

The first point pops up everywhere. In business I’ve found this translates to “all that matters is your processes not your individual actions”.