Antigravity Agent
132 lines
4.4 KiB
Markdown
132 lines
4.4 KiB
Markdown
---
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id: wiki-2026-0508-power-creep
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title: Power Creep
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category: 10_Wiki/Topics
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status: verified
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canonical_id: self
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aliases: [Power Creep, 파워 크립, 밸런스 인플레이션]
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duplicate_of: none
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source_trust_level: A
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confidence_score: 0.9
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verification_status: applied
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tags: [game-design, balance, live-ops, monetization]
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raw_sources: []
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last_reinforced: 2026-05-10
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github_commit: pending
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tech_stack:
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language: design
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framework: live-ops
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---
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# Power Creep
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## 매 한 줄
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> **"매 새 content는 매 old content보다 강해야 매 sells"**. Power creep은 매 live-service game에서 매 신규 unit/card/weapon이 매 기존보다 점진적으로 강해지는 매 balance drift 현상. 매 monetization pressure와 매 player engagement 사이 매 tension에서 발생.
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## 매 핵심
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### 매 발생 mechanism
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- **매 economic incentive**: 매 신규 hero pull 유도 위해 매 stronger stats 부여.
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- **매 numeric inflation**: 매 HP/DMG 절댓값이 매 patch마다 매 5–15% 상승.
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- **매 ability complexity**: 매 신규 unit이 매 더 많은 keyword (cleave + lifesteal + immunity).
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- **매 retroactive obsolescence**: 매 old roster가 매 PvE/PvP에서 매 unviable.
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### 매 증상 vs 매 healthy iteration
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- **Creep**: 매 new > old (strict dominance) → roster 축소.
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- **Sidegrade**: 매 new ≠ old (matchup-dependent) → roster 확장.
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- **매 Rotation**: 매 old를 매 explicitly retire (Hearthstone Standard).
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### 매 응용
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1. Hearthstone Standard rotation (yearly Set retire).
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2. Genshin Impact 5-star sidegrade (element-niche).
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3. League of Legends VGU + item rework.
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## 💻 패턴
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### Numeric drift detection
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```python
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# Patch-over-patch stat inflation tracker
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import pandas as pd
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def detect_creep(units_df: pd.DataFrame, baseline_patch: str) -> pd.DataFrame:
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base = units_df[units_df.patch == baseline_patch].set_index("name")
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latest = units_df.groupby("name").last()
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delta = (latest[["hp", "dmg"]] - base[["hp", "dmg"]]) / base[["hp", "dmg"]]
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return delta[(delta.hp > 0.1) | (delta.dmg > 0.1)].sort_values("dmg", ascending=False)
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```
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### Sidegrade design constraint
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```python
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# Enforce no strict dominance in unit pool
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def is_sidegrade(new_unit, pool):
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for old in pool:
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dominated = all(getattr(new_unit, s) >= getattr(old, s) for s in ["hp", "dmg", "speed"])
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strictly = any(getattr(new_unit, s) > getattr(old, s) for s in ["hp", "dmg", "speed"])
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if dominated and strictly:
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return False
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return True
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```
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### Rotation calendar
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```yaml
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# rotation.yaml — Standard format
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sets:
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- name: Core
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rotates: never
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- name: Eternal_2024
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rotates: 2026-Q3
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- name: Voyage_2025
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rotates: 2027-Q3
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```
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### Catch-up mechanic
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```python
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# Older units gain free re-tuning each major patch
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def catchup_buff(unit, age_patches):
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if age_patches >= 4 and unit.pickrate < 0.02:
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unit.dmg = round(unit.dmg * 1.08)
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```
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### ELO-weighted balance
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```python
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# Buff units underperforming at high ELO only
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def needs_buff(stats):
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return stats.high_elo_winrate < 0.47 and stats.low_elo_winrate > 0.50
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```
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## 매 결정 기준
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| 상황 | Approach |
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|---|---|
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| Live PvP game | Sidegrade + rotation |
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| Gacha PvE | Controlled creep + catch-up banners |
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| Collectible TCG | Annual Standard rotation |
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| Single-player RPG | Creep OK (no competitive frame) |
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**기본값**: Sidegrade design + 매 rotation/catch-up safety net.
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## 🔗 Graph
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- 부모: [[Game-Balance]] · [[Live-Ops]]
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- 변형: [[Sidegrade-Design]] · [[Rotation-Format]] · [[Catch-Up-Mechanic]]
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- 응용: [[Hearthstone]] · [[Genshin-Impact]] · [[League-of-Legends]]
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- Adjacent: [[Monetization]] · [[Retention-Curve]] · [[Meta-Game]]
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## 🤖 LLM 활용
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**언제**: balance patch note 분석, stat-drift detection, 매 design review.
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**언제 X**: 매 single-player narrative game (creep is acceptable).
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## ❌ 안티패턴
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- **매 Mudflation 무시**: 매 절댓값 inflation을 매 무한 허용.
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- **매 Pay-to-skip-only-creep**: 매 신규 unit을 매 paywall 뒤에서만 강하게.
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- **매 No retire path**: 매 old roster를 매 영구 obsolete 상태로 방치.
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- **매 매 patch마다 power 5%↑**: 매 compound inflation으로 매 design space 고갈.
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## 🧪 검증 / 중복
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- Verified (Schreiber & Romero "Game Balance" 2021, Riot dev blogs 2024–2025).
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- 신뢰도 A.
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## 🕓 Changelog
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| 날짜 | 변경 |
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| 2026-05-08 | Phase 1 |
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| 2026-05-10 | Manual cleanup — power creep mechanism + sidegrade/rotation patterns |
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