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ARC Raiders Hack Intelligence Lab is a research-oriented gameplay analysis toolkit for studying combat encounters, aim consistency, loot decisions, positioning, movement, extraction routes and overall match performance.
The project transforms recorded gameplay events into structured intelligence that can be reviewed across individual raids and longer play sessions.
ARC Raiders matches combine exploration, looting, PvE threats, PvP encounters and extraction decisions.
This project focuses on analyzing those elements through structured session data.
ARC RAIDERS SESSION
β
βΌ
ββββββββββββββββββββββ
β Session Tracker β
βββββββββββ¬βββββββββββ
β
ββββββββββββββββββΌβββββββββββββββββ
βΌ βΌ βΌ
Combat Loot Positioning
β β β
ββββββββββββββββββΌβββββββββββββββββ
βΌ
βββββββββββββββββββ
β Intelligence β
β Analysis Engine β
ββββββββββ¬βββββββββ
β
βββββββββββββββΌββββββββββββββ
βΌ βΌ βΌ
Aim Routes Decisions
β β β
βββββββββββββββΌββββββββββββββ
βΌ
RAID REPORT
Track combat performance through metrics such as:
- Accuracy
- First-shot timing
- Target switching
- Tracking consistency
- Engagement duration
- Damage efficiency
{
"aim": {
"accuracy": 0.78,
"first_shot_ms": 286,
"target_switches": 14,
"tracking_score": 82,
"damage_efficiency": 0.74
}
}Analyze individual encounters and identify how fights developed.
CONTACT
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βΌ
INITIAL POSITION
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βΌ
FIRST SHOT
β
βββ Advantage
β
βββ Disadvantage
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βΌ
REPOSITION
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βΌ
ENGAGEMENT
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βΌ
FIGHT RESULT
Useful metrics include:
| Metric | Example |
|---|---|
| Encounters | 37 |
| Successful Fights | 24 |
| Failed Fights | 13 |
| Avg. Damage | 412 |
| Avg. Fight Time | 18.6s |
| Survival After Fight | 68% |
Record loot decisions and identify inefficient inventory patterns.
LOCATION
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βΌ
LOOT FOUND
β
βββ Keep
βββ Replace
βββ Drop
βββ Ignore
β
βΌ
INVENTORY VALUE
Possible analysis fields:
- Item category
- Rarity
- Carry value
- Weight
- Loot location
- Time spent looting
- Inventory changes
- Extraction value
Analyze movement through a raid and compare successful extraction routes.
Spawn
β
βΌ
Loot Area βββββββββΊ POI
β β
β βΌ
ββββββββββββββΊ Encounter
β
βΌ
Rotation
β
βΌ
Extract
- Distance traveled
- Time between locations
- Number of encounters
- Loot collected
- Damage received
- Extraction success
- Risk level
Positioning can be represented as a sequence of tactical states:
SAFE
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βΌ
UNKNOWN CONTACT
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βΌ
COVER
β
βββ HOLD
β
βββ REPOSITION
β
βββ DISENGAGE
β
βΌ
EXTRACT
The analyzer can compare positioning choices with the final outcome of each encounter.
Every raid can be represented as a chronological event stream.
00:00 Spawn
01:12 First loot interaction
02:47 ARC activity detected
04:03 Player contact
04:11 Combat begins
04:29 Reposition
05:17 Combat ends
06:42 High-value loot found
08:14 Extraction route selected
10:03 Extraction completed
The project can calculate a composite performance score.
Combat Efficiency ββββββββββββββββββββ 84%
Aim Consistency ββββββββββββββββββββ 81%
Loot Efficiency ββββββββββββββββββββ 89%
Route Efficiency ββββββββββββββββββββ 76%
Positioning ββββββββββββββββββββ 85%
Extraction Decisions ββββββββββββββββββββ 90%
Major decisions can be categorized and compared against outcomes.
{
"decision": {
"type": "extraction",
"risk": "medium",
"resources": 0.68,
"distance": 420,
"expected_value": 0.81,
"outcome": "successful"
}
}This allows researchers to identify recurring decision patterns across multiple raids.
The analysis engine can flag situations where several risk factors appear together.
LOW RESOURCES
+
MULTIPLE CONTACTS
+
LONG EXTRACTION ROUTE
+
LOW POSITIONAL ADVANTAGE
β
βΌ
ββββββββββββββββββββββββ
β HIGH RISK EVENT β
ββββββββββββββββββββββββ
Multiple raids can be compared to identify long-term trends.
| Category | Session 1 | Session 10 | Session 25 |
|---|---|---|---|
| Accuracy | 64% | 72% | 78% |
| Extraction | 52% | 67% | 76% |
| Loot Efficiency | 61% | 75% | 84% |
| Combat Score | 58 | 71 | 82 |
| Decision Score | 63 | 76 | 88 |
RAW SESSION DATA
β
βΌ
EVENT NORMALIZATION
β
βΌ
COMBAT CLASSIFICATION
β
βββββ AIM
βββββ POSITION
βββββ LOOT
βββββ EXTRACTION
β
βΌ
PATTERN DETECTION
β
βΌ
PERFORMANCE SCORING
β
βΌ
SESSION COMPARISON
β
βΌ
INTELLIGENCE REPORT
arc-raiders-hack-intelligence-lab/
β
βββ data/
β βββ raids/
β βββ encounters/
β βββ loot/
β βββ routes/
β
βββ analysis/
β βββ aim/
β βββ combat/
β βββ positioning/
β βββ loot/
β βββ extraction/
β
βββ reports/
β βββ raids/
β βββ encounters/
β βββ performance/
β
βββ schemas/
β βββ raid.json
β βββ encounter.json
β βββ event.json
β
βββ docs/
β βββ methodology.md
β βββ architecture.md
β
βββ README.md
{
"raid": {
"duration": 603,
"encounters": 4,
"loot_events": 21,
"distance": 1840,
"damage_dealt": 1260,
"damage_received": 740,
"extracted": true,
"performance_score": 86
}
}- Raid session model
- Combat event tracking
- Loot analysis
- Route analysis
- Extraction statistics
- Performance scoring
- Interactive raid map
- Encounter heatmaps
- Advanced aim consistency metrics
- Squad performance analysis
- Long-term player trends
- Exportable raid reports
This repository is intended for gameplay research, statistics, visualization and review of recorded or manually collected session data.
It does not provide operational aimbots, wallhacks, triggerbots, memory manipulation or anti-cheat bypass functionality.
MIT License.
See LICENSE for details.
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