Warzone Hack Combat Lab is a research-oriented gameplay analysis project focused on studying combat performance, movement patterns, positioning, loadouts and decision-making in Call of Duty: Warzone.
The project transforms match data into structured metrics and visual performance insights.
WARZONE MATCH
│
▼
┌──────────────────┐
│ Match Data │
└────────┬─────────┘
│
┌──────────────────┼──────────────────┐
▼ ▼ ▼
COMBAT MOVEMENT POSITIONING
│ │ │
└──────────────────┼──────────────────┘
▼
┌────────────────────┐
│ ANALYSIS ENGINE │
└──────────┬─────────┘
│
┌──────────────┼──────────────┐
▼ ▼ ▼
PATTERNS METRICS TRENDS
│ │ │
└──────────────┼──────────────┘
▼
PERFORMANCE REPORT
Analyze individual engagements using:
- damage efficiency
- elimination timing
- shots fired
- hit consistency
- engagement duration
- damage received
- fight outcomes
Track mechanical consistency across sessions.
Session 01 ███████████████░░░ 76%
Session 02 █████████████████░ 84%
Session 03 ████████████████░░ 81%
Session 04 ██████████████████ 91%
Session 05 █████████████████░ 87%
Measure:
- movement speed patterns
- slide usage
- repositioning
- movement during engagements
- escape routes
- unnecessary exposure
Analyze where fights happen and how positioning affects their outcome.
HIGH GROUND
▲
│
┌──────────┼──────────┐
│ │ │
│ HOT ZONE │
│ │ │
└──────────┼──────────┘
│
ROTATION
│
SAFE ZONE
| Metric | Purpose |
|---|---|
| K/D | Combat efficiency |
| Accuracy | Shooting consistency |
| Damage/Game | Overall combat output |
| Damage/Min | Combat tempo |
| Survival Time | Positioning and survival |
| Eliminations | Fight conversion |
| Engagements | Combat frequency |
| Win Rate | Match outcome |
| Placement | Overall result |
Every engagement can be represented as a structured event:
{
"engagement_id": "warzone-001",
"duration": 8.7,
"damage_dealt": 412,
"damage_received": 238,
"shots_fired": 34,
"shots_hit": 25,
"outcome": "win",
"position": "high_ground",
"movement": "reposition"
}This allows historical comparisons between fights and sessions.
MATCH RECORDING
│
▼
EVENT EXTRACTION
│
├── Combat
├── Movement
├── Position
├── Loadout
└── Rotation
│
▼
DATA NORMALIZATION
│
▼
PATTERN DETECTION
│
▼
PERFORMANCE SCORING
│
▼
TREND ANALYSIS
│
▼
FINAL REPORT
The toolkit can compare different loadout configurations based on observed performance.
LOADOUT A
├── Primary Weapon
├── Secondary Weapon
├── Tactical
└── Lethal
│
▼
PERFORMANCE
│
├── Damage
├── Accuracy
├── Mobility
└── Survival
Historical data can be used to determine which setups produce the most consistent results.
OUTCOME
WIN LOSS
┌─────────┬─────────┐
HIGH │ CLUTCH │ ERROR │
DAMAGE │ FIGHT │ │
├─────────┼─────────┤
LOW │ CLEAN │ BAD │
DAMAGE │ TRADE │ TRADE │
└─────────┴─────────┘
This helps categorize recurring combat situations.
SESSION HISTORY
Accuracy █████████████████░░ 86%
Combat ████████████████░░░ 82%
Movement ███████████████░░░░ 78%
Positioning █████████████████░░ 85%
Survival ████████████████░░░ 81%
Decision ██████████████████░ 89%
warzone-hack-combat-lab/
│
├── data/
│ ├── matches/
│ ├── sessions/
│ ├── engagements/
│ └── loadouts/
│
├── analysis/
│ ├── combat/
│ ├── aim/
│ ├── movement/
│ ├── positioning/
│ └── rotations/
│
├── metrics/
│ ├── accuracy/
│ ├── damage/
│ ├── survival/
│ └── performance/
│
├── reports/
│ ├── match/
│ ├── session/
│ └── historical/
│
├── config/
│ └── analysis.json
│
└── README.md
A configurable scoring model:
Combat Efficiency × 0.25
Aim Consistency × 0.20
Movement × 0.15
Positioning × 0.20
Decision Making × 0.20
The weights can be adjusted depending on the type of analysis being performed.
- Review difficult gunfights
- Compare different sessions
- Identify recurring positioning errors
- Measure aim consistency
- Study movement habits
- Compare loadout performance
- Track improvement over time
- Analyze high-pressure situations
- Match data structure
- Combat event model
- Basic performance metrics
- Session tracking
- Advanced engagement analysis
- Movement scoring
- Position heatmaps
- Loadout comparison
- Historical performance dashboard
- Match comparison
- Advanced trend detection
- Automated reports
- Complete analytics pipeline
- Interactive dashboard
- Long-term performance profiles
- Competitive research tools
This project is intended for gameplay research, performance analysis and educational use.
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