Optimize Matter.js Dense Pachinko Pin Collisions

Simulating a ball falling through a dense field of Pachinko pins in Matter.js can quickly cause frame rate drops if the physics engine spends too much time evaluating potential impacts. Because Pachinko layouts feature hundreds or thousands of static obstacles, default collision detection routines perform unnecessary calculations. You can achieve smooth performance by properly configuring collision filtering, selecting the right broadphase algorithm, simplifying geometries, and adjusting solver iterations.

1. Eliminate Pin-to-Pin Checks with Collision Filters

By default, Matter.js evaluates whether any body might collide with any other body. In a Pachinko game, pins are stationary and will never collide with one another. Allowing the engine to test pin-against-pin collisions creates massive, wasted overhead.

Assign bitmasks using collisionFilter to ensure pins only test collisions against balls:

const BALL_CATEGORY = 0x0001;
const PIN_CATEGORY = 0x0002;

// Ball configuration
const ball = Bodies.circle(x, y, radius, {
  collisionFilter: {
    category: BALL_CATEGORY,
    mask: PIN_CATEGORY // Only collide with pins
  }
});

// Pin configuration
const pin = Bodies.circle(x, y, pinRadius, {
  isStatic: true,
  collisionFilter: {
    category: PIN_CATEGORY,
    mask: BALL_CATEGORY // Only collide with balls
  }
});

Using these masks skips non-relevant body pairs before narrowphase calculations occur.

2. Optimize the Broadphase Configuration

Matter.js relies on a broadphase algorithm to generate a list of candidate pairs for collision detection. For dense, static grids like Pachinko boards, the standard broadphase can struggle if bucket sizes are improperly sized.

3. Use Native Circle Geometries Exclusively

Polygonal collision checks require vertex projection via the Separating Axis Theorem (SAT), which scales with the number of vertices. Circles, however, only require a Euclidean distance check between two centers:

\[\text{distance}^2 \le (r_1 + r_2)^2\]

Create every pin and ball using Matter.Bodies.circle(). Do not approximate circular pins with polygonal approximations or multi-sided regular polygons.

4. Enable Engine Sleeping

When balls settle into catchers or temporarily move out of range of certain pins, their physics calculations should halt. Enable sleeping on the engine level:

engine.enableSleeping = true;

When bodies come to rest, Matter.js removes them from active broadphase updates, freeing CPU resources.

5. Reduce Iteration Counts

If the ball moves at reasonable speeds and pins are placed close together, the default iteration counts in Matter.js might be higher than necessary. You can lower the constraint and position solver iterations to trade negligible accuracy for improved framerates:

engine.positionIterations = 4; // Default is 6
engine.velocityIterations = 2; // Default is 4

To prevent balls from tunneling through pins due to lower iteration counts, set the ball's bullet: true property, which enforces continuous collision detection (CCD) only on the moving sphere.

6. Hybrid Approach: Mathematical Grid Lookup

If the pin count exceeds several thousand, bypassing Matter.js bodies entirely for the pins yields the highest performance:

  1. Keep only the moving ball inside the Matter.js simulation.
  2. Store pin locations in a 2D spatial array or mathematical grid layout (e.g., staggered rows).
  3. On every beforeUpdate tick, calculate which pin coordinates the ball is currently closest to based on the ball's \((x, y)\) position.
  4. If the distance to the nearest pin center is less than the sum of their radii, manually apply a reflection vector or impulse directly to the ball using Body.setVelocity() or Body.applyForce().

This removes static bodies from the physics world entirely, maintaining optimal frames per second regardless of pin density.