Advanced PUBG gameplay intelligence and combat analysis laboratory focused on aim performance, spatial awareness, positioning, loot routes, combat encounters and match progression.
The project transforms recorded gameplay statistics into structured performance insights and visual reports.
┌──────────────────────┐
│ PUBG Match Data │
└───────────┬──────────┘
│
┌─────────────────┼─────────────────┐
│ │ │
▼ ▼ ▼
┌───────────┐ ┌───────────┐ ┌───────────┐
│ Aim │ │ Combat │ │ Map │
│ Analysis │ │ Analysis │ │ Analysis │
└─────┬─────┘ └─────┬─────┘ └─────┬─────┘
│ │ │
└─────────────────┼─────────────────┘
▼
┌────────────────────┐
│ Intelligence Core │
└──────────┬─────────┘
▼
┌────────────────────┐
│ Match Performance │
└────────────────────┘
- Analyze aim consistency
- Track combat engagements
- Study positioning decisions
- Visualize movement patterns
- Compare loot routes
- Analyze survival performance
- Measure reaction consistency
- Generate match reports
The aim-analysis module evaluates recorded performance metrics.
{
"match": "PUBG-2026-184",
"shots": 923,
"hits": 547,
"accuracy": 59.26,
"reaction_score": 86.4,
"tracking_score": 88.1,
"target_switch_score": 81.7
}- Accuracy
- Hit consistency
- Reaction timing
- Tracking
- Target switching
- Engagement duration
A simplified spatial layer can visualize player movement, encounters and important locations.
┌──────────────────────────────────┐
│ N │
│ ▲ │
│ E │ E │
│ \ │ / │
│ \ │ / │
│ \ ● / │
│ \ │ / │
│ L─────┼─────R │
│ │ │
│ ▼ │
│ S │
└──────────────────────────────────┘
● Player
E Encounter
L Loot Event
R Rotation
This visualization is intended for reviewing recorded gameplay and understanding positioning decisions.
Each encounter can be classified by duration, distance, outcome and player decisions.
| Metric | Value |
|---|---|
| Total Encounters | 17 |
| Successful Fights | 12 |
| Average Duration | 18.4s |
| Accuracy | 59.3% |
| Survival Rate | 88.2% |
| Positioning Score | 91.0 |
PUBG gameplay revolves around landing, looting, movement, vehicles and surviving the shrinking battleground.
The project can model these stages:
LAND
│
▼
LOOT
│
▼
ROTATE
│
▼
ENGAGE
│
▼
SURVIVE
│
▼
ENDGAME
Drop
│
├── Loot Zone A
│ │
│ ▼
│ Rotation 1
│ │
│ ▼
├── Compound B
│ │
│ ▼
└── Final Zone
Loot events can be categorized into:
- Weapons
- Armor
- Ammunition
- Healing
- Attachments
- Utility
- Supply drops
Example:
{
"location": "Compound_B",
"loot_events": 34,
"weapons": 8,
"attachments": 13,
"healing": 7,
"utility": 6,
"route_efficiency": 92.7
}The performance engine combines several categories:
MATCH SCORE
│
┌─────────────────┼─────────────────┐
│ │ │
▼ ▼ ▼
AIM COMBAT MAP
│ │ │
└─────────────────┼─────────────────┘
│
▼
SURVIVAL
│
▼
FINAL PERFORMANCE
PUBG MATCH REPORT
────────────────────────────
Match: #184
Aim Score: 86.4
Combat Score: 91.0
Map Score: 88.7
Loot Score: 92.7
Survival Score: 84.9
Overall Score: 88.7
Strongest Area:
Positioning
Improvement Area:
Reaction consistency during
rapid target transitions.
Recorded Session
│
▼
Event Extraction
│
├── Aim Events
├── Combat Events
├── Loot Events
├── Movement Events
└── Position Events
│
▼
Normalization
│
▼
Metric Calculation
│
▼
Performance Scoring
│
▼
Match Report
pubg-hack-combat-intelligence/
│
├── analytics/
│ ├── aim/
│ ├── combat/
│ ├── movement/
│ ├── positioning/
│ └── loot/
│
├── datasets/
│ ├── matches/
│ ├── sessions/
│ └── routes/
│
├── visualization/
│ ├── maps/
│ ├── heatmaps/
│ └── dashboards/
│
├── reports/
│ ├── match-report.md
│ └── performance-report.md
│
├── models/
│ └── performance.json
│
└── README.md
- Match data model
- Aim analysis
- Combat metrics
- Loot analysis
- Positioning analysis
- Route visualization
- Interactive map dashboard
- Advanced heatmaps
- Session comparison
- Seasonal performance tracking
- Automated reports
PUBG's official 2026 roadmap emphasizes evolving gunplay, map systems, ranking and additional gameplay options, making seasonal comparison particularly useful for an analysis project.
The repository can therefore maintain separate datasets for different updates and compare changes in player performance over time.
This repository is intended for gameplay analysis, visualization and research. It does not implement operational aimbots, ESP/wallhacks, injectors, game-memory manipulation, automation, anti-cheat bypasses or online gameplay interference.
MIT License.
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