27 - Game Balancing

Game Balancing

Designing a game so it is fair, stable, and engaging for players

Statistics

The study of what has already happened

Probability

The study of how likely something is to happen

Randomness in Games

Adds uncertainty and excitement to gameplay

Pseudo-randomness

Computer-generated randomness that isn’t truly random

Mechanics

The rules and systems of a game (e.g., rolling dice, taking turns)

Dynamics

The behavior that emerges from mechanics during gameplay

Expected Value

The average outcome of a random variable weighted by probabilities

Dice Notation

Format like xdn (e.g., 2d6 = roll two 6-sided dice)

Heuristic

A mental shortcut used to make decisions quickly

Variance

The spread of possible outcomes (risk vs consistency)

Player Agency

The ability for players to make meaningful decisions

All-skill Game

A game with no randomness; can become repetitive

All-random Game

A game with no skill; based entirely on chance

Psychology of Randomness

Players misinterpret randomness (e.g., expecting streaks to change)

Monte Carlo Fallacy

Belief that past outcomes affect future random events

Longshot Bias

Players favor low-probability high-reward outcomes

Imperfect Information

When players don’t know all aspects of the game state

Fog of War

A mechanic that hides information from players

Difficulty Class (DC)

A number representing how hard a task is in games like D&D

Advantage

Roll twice and take the higher result

Disadvantage

Roll twice and take the lower result

Game Balance Evaluation

Measured using fairness, stability, and engagement

Fairness

Equal chance of winning for equally skilled players

Stability

A game with multiple viable strategies and balanced feedback

Engagement (Flow)

A mental state of focused immersion and enjoyment

Flow State

A balance between challenge and skill that keeps players engaged

Pacing

The progression of difficulty over time in a game

Going First Problem

When the first player has a significant advantage

Fixing First Player Advantage

Rotate turns, add handicaps, or reduce first-turn power

Positive Feedback

Rewards success and amplifies advantages

Negative Feedback

Reduces advantage to keep the game balanced

Rubber Banding

A form of negative feedback that helps losing players catch up

Perfect Imbalance

When a system becomes overly dominant or overpowered

First Order Optimal Strategy

A simple strategy that is very effective early on

Utility

A measure of progress toward winning

Player Optimal Outcome

Maximizing one player’s utility

Pareto Optimal Outcome

No player can improve without hurting another

Equitable Outcome

All players have equal utility

Efficient Outcome

Maximizing total utility across all players

Nash Equilibrium

Best outcome assuming all players act in their own interest

Multiple Strategies

A balanced game allows different ways to win

Stability Feedback Curve

Negative early, slightly positive midgame, very positive endgame

Too Much Positive Feedback

Leads to runaway winners

Too Much Negative Feedback

Prevents meaningful progress

Ideal Feedback Curve

Balanced mix of positive and negative feedback

Adversity

Challenges players must overcome

Desire

Motivation to achieve goals

Empowerment

Player feeling of control and impact

Value

Meaningful rewards in the game

Drama

Storytelling and emotional engagement

Analysis Paralysis

Overthinking due to too many decisions

Optimization vs Fun

Best strategy should also be enjoyable

Camping Strategy

A strong but often boring or unfun strategy

Balancing for Real Players

Designing for both optimal play and enjoyable experiences