Select a weapon to view its damage stats
Configure victim equipment and body parts to analyze weapon damage at different ranges
Victim Equipment
Select armor to simulate damageDuncans_M416
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 Duncans_M416 — ranked by kill %. +pp / −pp shows the delta vs. the slot average across all attachments.
Grip / Laser
| Attachment | Usage % | Acc % | Kill % | Avg Dmg |
|---|---|---|---|---|
1Half Grip | 6.2% | 71.43% +4.90pp | 10.48% +2.80pp | 23.0 +1.37 dmg |
2Angled Fore Grip | 11.1% | 57.75% -8.78pp | 8.56% +0.88pp | 23.1 +1.47 dmg |
3Thumb Grip | 33.2% | 77.54% +11.01pp | 7.49% -0.19pp | 21.0 -0.63 dmg |
4Laser Sight | 1.7% | 60.71% -5.82pp | 7.14% -0.54pp | 21.8 +0.17 dmg |
5Foregrip | 42.1% | 68.87% +2.34pp | 6.20% -1.48pp | 20.4 -1.23 dmg |
Scope / Sight
| Attachment | Usage % | Acc % | Kill % | Avg Dmg |
|---|---|---|---|---|
1Red Dot Sight | 61.4% | 69.08% -3.37pp | 7.61% +1.21pp | 20.9 -1.05 dmg |
23x Scope | 16.0% | 74.17% +1.72pp | 7.38% +0.98pp | 21.0 -0.95 dmg |
36x Scope | 2.9% | 67.35% -5.10pp | 6.12% -0.28pp | 24.2 +2.25 dmg |
42x Scope | 9.8% | 62.42% -10.03pp | 6.06% -0.34pp | 22.1 +0.15 dmg |
54x Scope | 1.0% | 82.35% +9.90pp | 5.88% -0.52pp | 23.4 +1.45 dmg |
Muzzle
| Attachment | Usage % | Acc % | Kill % | Avg Dmg |
|---|---|---|---|---|
1Suppressor AR | 8.6% | 68.49% -1.53pp | 7.53% +0.47pp | 20.7 -0.55 dmg |
2Muzzle Brake | 32.7% | 70.65% +0.63pp | 7.43% +0.37pp | 22.0 +0.75 dmg |
3Compensator AR | 54.8% | 70.73% +0.71pp | 6.91% -0.15pp | 20.5 -0.75 dmg |
4Flash Hider AR | 2.8% | 70.21% +0.19pp | 6.38% -0.68pp | 21.8 +0.55 dmg |
—No attachment | 1.1% | 47.37% | 10.53% | 22.2 |
Stock
| Attachment | Usage % | Acc % | Kill % | Avg Dmg |
|---|---|---|---|---|
1Stock | 80.0% | 69.82% -1.88pp | 7.40% +0.71pp | 21.1 +0.20 dmg |
2Heavy Stock | 18.8% | 73.58% +1.88pp | 5.97% -0.72pp | 20.7 -0.20 dmg |
—No attachment | 1.2% | 45.00% | 10.00% | 25.0 |
Measured bullet travel time from Duncans_M416 shots in real matches (50–800 m, phase > 1.5). Velocity decays with distance due to drag.
Bullet velocity data for Duncans_M416 will be available after the nightly refresh.
Best performing maps ranked by kills (last 14 days)
| # | Map | Kills | Hit Rate | K/Shot | Avg Distance | Usage |
|---|---|---|---|---|---|---|
| 1 |  Sanhok | 473 | 10.3% | 1.16% | 28m | 100.0% |
Compare 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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