B BLUESKY LABS

Game Calculators

How to Use the Pull Probability Simulator for Gacha Games

Simulate your gacha luck with a client-side Monte Carlo simulator. Run up to 10,000 trials to map success probabilities.

Updated 2026-06-07. Bluesky Labs tools are designed for browser-local workflows whenever the tool supports local processing.

When to Use This Tool

  • Predicting the likelihood of obtaining a rare character or item over multiple pulls.
  • Testing 'pity' systems and guaranteed drop mechanics in various gacha games.
  • Visualizing probability distributions to manage in-game currency spending.

Step-by-Step Workflow

  1. Load your file

    Enter the base success rate (drop percentage) for the specific item you want to pull.

  2. Enter inputs

    Input the total number of pulls or trials you plan to perform.

  3. Choose settings

    Set the desired number of Monte Carlo simulations, up to a maximum of 10,000.

  4. Run the action

    Click the simulation button to run the client-side calculation.

  5. Enter inputs

    Analyze the resulting success map and probability distribution provided by the simulator.

Best Practices

  • Use realistic drop rates from official game data for more accurate predictions.
  • Run a higher number of trials (closer to 10,000) to reduce statistical variance.
  • Compare results across different pull counts to identify the most efficient spending point.
  • Remember that simulations represent mathematical probability, not guaranteed outcomes.

FAQ

What is a Monte Carlo simulation in this context?

It is a method where the tool runs thousands of random trials to see how often an event occurs based on your input odds.

Why does the simulator limit trials to 10,000?

This limit ensures the simulation runs quickly in your browser while providing a statistically significant sample size for most gacha mechanics.