Game Dynamics Examples

Game dynamics models simulate the mechanics behind interactive experiences. They explore how randomness, competition, and matchmaking affect player engagement and long-term balance.

These small systems help clarify why certain rule tweaks can create engaging loops or frustrating stalemates. Insights from them translate to video games as well as any environment where people respond to incentives and uncertainty.

Select an example to explore it in the playground.

Beginner - Introductory Models

Gacha Box

Simulates drawing items from a gacha box with configurable drop rates and a pity system.

Level:Beginner

stochasticgamerandom

  • Probes:count_common, count_rare, count_ultra, spent
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Intermediate - Classic Dynamics

Dynamic Difficulty Adjustment

Adaptive encounters that track win rate to keep players challenged.

Level:Intermediate

gameplayreinforcing-loopbalancing-loopadaptivegame

  • Stocks:skill, difficulty, retention
  • Flows:practice gains, difficulty adaptation
  • Feedback Loops:skill improvement (reinforcing), challenge tuning (balancing)
  • Probes:skill, difficulty, win_rate, frustration, retention
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Matchmaking Queue

Simulates skill-based matchmaking with adjustable buckets, skill delta and max wait.

Level:Intermediate

matchmakingqueuegamefairness

  • Probes:queue_len, avg_wait, avg_delta
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Advanced - Complex Simulations