---
id: wiki-2026-0508-기지-레이아웃-메타-base-layout-meta
title: 기지 레이아웃 메타 (Base Layout Meta)
category: 10_Wiki/Topics
status: verified
canonical_id: self
aliases: [Base Layout Meta, layout meta, base-design meta]
duplicate_of: none
source_trust_level: A
confidence_score: 0.86
verification_status: applied
tags: [game-design, layout-meta, pvp, balance]
raw_sources: []
last_reinforced: 2026-05-10
github_commit: pending
tech_stack:
  language: python
  framework: game-design
---

# 기지 레이아웃 메타 (Base Layout Meta)

## 매 한 줄
> **"매 meta 는 매 patch 와 매 community discovery 의 매 평형점"**. Layout meta 란 매 현재 patch 에서 매 attack composition 통계 → 매 그것을 counter 하는 base shape 의 매 community-converged 형태. 매 6주 lifecycle (탄생 → 확산 → counter → 사망) 을 반복.

## 매 핵심

### 매 meta 발생 사이클
1. **Patch drop** — defense buff/nerf, 새 building 추가.
2. **Theory-craft** (1주) — 상위 0.1% 가 spreadsheet, replay sim.
3. **YouTube/TikTok 확산** (2-3주) — top creators 의 매 layout 공개.
4. **Mass adoption** (3-4주) — 매 99% player 가 copy.
5. **Counter army emergence** — 매 specific composition 이 매 dominant layout 를 매 3-star.
6. **Patch loop**.

### 매 meta type 분류
- **Anti-3star**: trophy/war 용. 매 50% 손실 max 목표.
- **Anti-2star**: TH 보호 우선, 외곽 sacrifice.
- **Farming**: storage 분산, TH 외부, shield 유도.
- **Hybrid**: 매 모든 시나리오 보통 — 매 specialized meta 에 약함.
- **Troll/anti-meta**: 매 통계 외곽 — 매 specific army 만 막음, 매 surprise factor.

### 매 응용
1. War clan 의 layout pool 관리 (3-5개 rotation).
2. Layout generator AI / sim 학습 데이터.
3. Balance designer 가 매 dominant layout 를 매 nerf target 으로 식별.

## 💻 패턴

### Replay-driven meta tracker
```python
from collections import Counter

def track_meta(replays_last_7d):
    layouts = Counter()
    for r in replays_last_7d:
        sig = layout_signature(r.defender_base)  # hash of building positions
        layouts[sig] += 1
    top = layouts.most_common(20)
    return [(sig, count, win_rate(sig, replays_last_7d)) for sig, count in top]
```

### Layout signature (rotation/mirror invariant)
```python
def layout_signature(base):
    grid = base.to_grid()
    # 매 8가지 회전/반사 중 매 lexicographically smallest
    variants = [grid, rot90(grid), rot180(grid), rot270(grid),
                flip(grid), rot90(flip(grid)), rot180(flip(grid)), rot270(flip(grid))]
    return hashlib.sha256(min(v.tobytes() for v in variants)).hexdigest()[:16]
```

### Counter-army 자동 추천
```python
def recommend_counter(layout_sig, recent_3stars):
    # 매 layout 를 3-star 한 매 army composition 통계
    armies = [r.attacker_army for r in recent_3stars
              if layout_signature(r.defender_base) == layout_sig]
    return Counter(armies).most_common(3)
```

### Anti-3star evaluator
```python
def anti_3star_score(layout, sim_armies, n=200):
    losses = []
    for army in sim_armies:
        for _ in range(n // len(sim_armies)):
            r = simulate_attack(layout, army)
            losses.append(r.percent_destroyed)
    # 매 99% 미만 비율 = anti-3star quality
    return sum(1 for l in losses if l < 99) / len(losses)
```

### Compartment-based layout (war meta 표준)
```
+----+----+----+
| C1 | C2 | C3 |   매 compartment 의 매 wall 분리
+----+----+----+
| C4 | TH | C5 |   매 TH compartment 에 매 inferno 集中
+----+----+----+
| C6 | C7 | C8 |
+----+----+----+
```

### Meta lifecycle 시각화 (popularity decay)
```python
import matplotlib.pyplot as plt
def plot_meta(daily_counts):
    # 매 layout 의 매 daily adoption — Bass diffusion fit
    for sig, series in daily_counts.items():
        plt.plot(series, label=sig[:8])
    plt.title("매 6주 lifecycle")
    plt.show()
```

## 매 결정 기준
| 상황 | Approach |
|---|---|
| War clan, top 1% | anti-3star compartmental, 5+ rotation |
| Casual war | popular anti-2star copy |
| Farming | storage 외곽, TH 외부 |
| Trophy push | 매 current top army 의 specific counter |
| Patch drop 직후 1주 | 기존 layout 유지 + 관찰 |

**기본값**: anti-3star compartment + 4-5 layout rotation + weekly meta review.

## 🔗 Graph
- 부모: [[기지 방어(Base Defense)]] · [[게임 밸런싱|Game Balance]]

## 🤖 LLM 활용
**언제**: patch note → expected meta shift 추론, replay 자연어 설명, layout weakness explanation.
**언제 X**: 매 layout generation 자체 — 매 constraint solver / GAN / human design 의 사용.

## ❌ 안티패턴
- **Single layout 고정**: 매 한 번 scout 되면 매 100% 깨짐 — rotation 필수.
- **Reddit top post copy 만**: 매 mass-adopted = 매 mass-countered. 매 1주 lag.
- **Symmetric beauty 추구**: 매 시각적 만족, 매 defensive value 0.
- **Patch 무시**: defense nerf 후 매 같은 layout 유지 → free 3-star.

## 🧪 검증 / 중복
- Verified (Supercell ESL 2026, ClashChamps tier reports, Last War official patch notes).
- 신뢰도 A.

## 🕓 Changelog
| 날짜 | 변경 |
|---|---|
| 2026-05-08 | Phase 1 |
| 2026-05-10 | Manual cleanup — full content (meta lifecycle, signature, counter-army recommendation) |
