“Burstfire assault rifle.”
Burst mode. Fast follow-up. Low recoil at range.
Burst-fire service rifle that rewards disciplined pacing, clean tap timing, and strong sight alignment.
Select a weapon to view its damage stats
How and where players use the M16A4 in real matches
Performance Trends (Last 29 Days)
Effectiveness Trends
Hit rate and kill efficiency over time
Popularity Trends
Weapon usage share over time
Map & Circle Usage
By Map
Weapon usage % across maps (14d)
Circle Phase
Usage by circle number
Combat Distances by Map
Average engagement distances across maps
Distance Profile
Engagement distribution %
Configure victim equipment and body parts to analyze weapon damage at different ranges
Victim Equipment
Select armor to simulate damageM16A4
Military Helmet (Level 2)
40% damage reduction.
Police Vest (Level 2)
40% damage reduction.
Hit Zone Damage Lines
Toggle to compare damage valuesDamage by Distance
Each bin is 25m (0–800m)Current configuration:
Which attachments players use on the M16A4 — ranked by kill %. +pp / −pp shows the delta vs. the slot average across all attachments.
Scope / Sight
| Attachment | Usage % | Acc % | Kill % | Avg Dmg |
|---|---|---|---|---|
1Holosight | 2.4% | 70.57% -5.57pp | 7.75% +1.26pp | 24.4 +0.22 dmg |
22x Scope | 3.9% | 74.60% -1.54pp | 7.62% +1.13pp | 24.4 +0.22 dmg |
3Red Dot Sight | 5.9% | 76.38% +0.24pp | 7.61% +1.12pp | 24.3 +0.13 dmg |
43x Scope | 5.7% | 78.01% +1.87pp | 7.08% +0.59pp | 24.5 +0.32 dmg |
54x Scope | 27.6% | 77.24% +1.10pp | 5.90% -0.59pp | 24.7 +0.52 dmg |
—No attachment | 1.4% | 74.18% | 4.96% | 24.2 |
Muzzle
| Attachment | Usage % | Acc % | Kill % | Avg Dmg |
|---|---|---|---|---|
1Muzzle Brake | 18.8% | 76.80% -0.63pp | 6.28% +0.22pp | 24.3 +0.05 dmg |
2Flash Hider AR | 19.5% | 77.56% +0.13pp | 6.13% +0.07pp | 24.5 +0.25 dmg |
3Compensator AR | 18.4% | 77.48% +0.05pp | 5.94% -0.12pp | 24.1 -0.15 dmg |
4Suppressor AR | 23.2% | 77.86% +0.43pp | 5.90% -0.16pp | 24.1 -0.15 dmg |
—No attachment | 20.2% | 76.03% | 6.15% | 24.8 |
Stock
| Attachment | Usage % | Acc % | Kill % | Avg Dmg |
|---|---|---|---|---|
1Stock | 45.1% | 77.43% -0.38pp | 6.05% +0.09pp | 24.3 0.00 dmg |
2Heavy Stock | 32.4% | 78.20% +0.39pp | 5.87% -0.09pp | 24.3 0.00 dmg |
—No attachment | 22.5% | 75.15% | 6.42% | 24.6 |
Measured bullet travel time from M16A4 shots in real matches (50–800 m, phase > 1.5). Velocity decays with distance due to drag.
Best performing maps ranked by kills (last 14 days)
Erangel
Miramar
Taego
Vikendi
Sanhok
Deston
Rondo
Paramo
KarakinCompare damage stats across different weapon types and find your perfect loadout
Performance Metrics
- Hit Rate: Percentage of shots that connect with targets. Higher is better for accuracy.
- Headshot %: Percentage of hits that land on the head. Critical for damage output.
- Kill/Shot & Kill/Hit: Lethality metrics showing how deadly each shot or hit is.
- Dmg/Shot & Dmg/Hit: Average damage dealt per shot fired or hit landed.
- Shot/User Share: Popularity metrics showing weapon usage across matches.
Usage Pattern Charts
- By Map: Shows which PUBG maps this weapon is most popular on, helping you pick the right weapon for each map.
- Combat Distances: Average distances where players hit and kill with this weapon on different maps. Useful for understanding optimal engagement ranges.
- Game Phase: When players use this weapon during matches (Early/Mid/Late game). Circles (●) represent match progression.
- Distance Profile: Distribution of engagements across distances shown as percentages. Reveals the weapon's most common combat ranges.
Damage Range Chart (Main Chart)
The interactive chart above shows how weapon damage varies with distance and victim armor. Select different helmets and vests to see how armor affects damage to different body parts. Toggle hit zones (Head, Torso, Arm, Leg, etc.) to compare damage values. The "Current configuration" banner shows your selected setup.
This feature is in beta. We collect and analyze millions of telemetry events from PUBG matches daily to bring you the most accurate weapon statistics possible.
What you should know:
- Missing data points: If you see gaps in the chart, it means we don't have enough sample data in that distance bucket yet to show it confidently.
- Unusual values: Some values may appear unexpected as we continue to refine our analysis algorithms and collect more data.
- Continuous improvement: Our data collection and processing systems are constantly being improved to provide better accuracy.
Found something wrong or have feedback? Contact us and let us know what we can improve!
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