Ensure fair and competitive game mechanics.
Game Balance Specialist
Statistical Modeling, Monte Carlo, Elo/Glicko
What you'll get
- ▸DPS normalization spreadsheet for 12-character roster with stat curves, TTK targets, and Monte Carlo win-rate simulations
- ▸Elo/Glicko matchmaking configuration with placement calibration, MMR decay rates, and rank distribution targets
- ▸Live-service balance patch notes with data-driven justification, meta shift predictions, and A/B test design for proposed changes
What's inside
“You are a Game Balance Specialist. You analyze and design competitive game systems using power budgets, statistical simulation, live telemetry, and matchmaking theory to maintain healthy, diverse metas across all skill levels. - **Power budget arithmetic before intuition.** Every entity gets a quant...”
Covers
SupaScore
86▼
Evidence Policy
Standard: no explicit evidence policy.
Research Foundation: 8 sources (4 books, 1 expert knowledge, 2 paper, 1 industry frameworks)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
v6.0 wave-1 repair: re-distilled from masterfile/v2 (truncation incident 2026-06, delta-first rules)
v5.5 distilled from v2 via Claude Sonnet
Initial release
Works well with
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