Data coverage: Jul 19, 2026 – Jul 31, 2026 (UTC)
14-day rolling telemetry windowPage generated: Aug 3, 2026, 10:58 AM UTCTelemetry aggregate refreshes daily
SCAR-L

SCAR-L

AR

Single or automatic fire; supports lower-rail grips.

The SCAR-L is a 5.56mm assault rifle with single-shot and automatic fire modes. It supports sights, muzzle devices, magazines, and lower-rail grips.

Select a weapon to view its damage stats

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Hit Rate10.9%
HS %18.1%
Users2.0%
Kill Dist20m
Fire Rate698 RPM
Muzzle Vel.912 m/s

Quick Compare

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AKMAKMAUGAUGM416M416ACE32ACE32M16A4M16A4Mk47 MutantMk47 MutantQBZQBZBeryl M762Beryl M762

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Ballistics & Fire Rate

Measured from real match telemetry — bullet velocity, fire rate, and travel time for the SCAR-L

Fire Rate

698 RPM

86 ms between shots

Muzzle Velocity

912 m/s

R² = 0.99 (9 buckets)

Velocity Range

883.4–641.9 m/s

close to far range

Bullet Velocity by Distance

Measured bullet travel time from SCAR-L shots in real matches (50–800 m, phase > 1.5). Velocity decays with distance due to drag.

Bullet Drop

How far the bullet falls below the aim point over distance, derived from measured flight time. Useful for comparing trajectory flatness between weapons.

Drop at 200 m

40.1 cm

1.80 mrad holdover

Drop at 400 m

198.5 cm

4.68 mrad holdover

Bullet Drop by Distance

Estimated from real match flight times, median-aggregated per 50 m bucket. P75 shows upper spread. Negative values = bullet falls below aim point.

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Usage Patterns & Trends

How and where players use the SCAR-L in real matches

Performance Trends (Last 28 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 %

Damage Analysis by Distance

Configure victim equipment and body parts to analyze weapon damage at different ranges

Victim Equipment

Select armor to simulate damage
SCAR-L

SCAR-L

AR
Military Helmet (Level 2)

Military Helmet (Level 2)

40% damage reduction.

150 APLevel 2
Police Vest (Level 2)

Police Vest (Level 2)

40% damage reduction.

220 APLevel 2

Hit Zone Damage Lines

Toggle to compare damage values

Damage by Distance

Each bin is 25m (0–800m)

Current configuration:

SCAR-L
Military Helmet (Level 2)
Police Vest (Level 2)

Attachment Statistics

All weapons →

Which attachments players use on the SCAR-L — ranked by kill %. +pp / −pp shows the delta vs. the slot average across all attachments.

Muzzle

AttachmentUsage %Acc %Kill %Avg Dmg
1Suppressor AR
5.6%
72.61%
+0.22pp
6.85%
+0.35pp
23.2
+0.25 dmg
2Compensator AR
33.7%
72.40%
+0.01pp
6.43%
-0.07pp
22.7
-0.25 dmg
3Flash Hider AR
18.5%
72.32%
-0.07pp
6.42%
-0.08pp
23.0
+0.05 dmg
4Muzzle Brake
30.2%
72.23%
-0.16pp
6.28%
-0.21pp
22.9
-0.05 dmg
—No attachment
12.1%
73.13%5.88%23.2

Scope / Sight

AttachmentUsage %Acc %Kill %Avg Dmg
14x Scope
3.3%
71.99%
-0.16pp
6.64%
+0.36pp
23.5
+0.44 dmg
2Hybrid Scope
8.2%
71.53%
-0.62pp
6.54%
+0.26pp
22.6
-0.46 dmg
3Red Dot Sight
56.4%
72.82%
+0.67pp
6.45%
+0.17pp
22.8
-0.26 dmg
46x Scope
2.5%
72.54%
+0.39pp
6.30%
+0.02pp
23.1
+0.04 dmg
52x Scope
6.8%
70.57%
-1.58pp
6.19%
-0.09pp
23.2
+0.14 dmg
—No attachment
1.3%
69.85%6.43%23.3

Grip / Laser

AttachmentUsage %Acc %Kill %Avg Dmg
1Thumb Grip
15.7%
72.11%
-0.95pp
6.59%
+0.35pp
22.9
0.00 dmg
2Lightweight Fore Grip
6.4%
73.87%
+0.81pp
6.55%
+0.31pp
22.8
-0.10 dmg
3Tilted Grip
32.7%
72.47%
-0.59pp
6.35%
+0.11pp
23.0
+0.10 dmg
4Half Grip
14.8%
72.94%
-0.12pp
6.21%
-0.03pp
22.6
-0.30 dmg
5Foregrip
26.6%
71.91%
-1.16pp
6.20%
-0.04pp
22.8
-0.10 dmg
—No attachment
2.4%
71.43%6.79%23.9

Top Maps for SCAR-L

Best performing maps ranked by kills (last 14 days)

#1
ErangelErangel
Kills
117553
Hit Rate
10.9%
K/Shot
1.36%
Avg Distance
19m
Usage47.7%
#2
MiramarMiramar
Kills
44202
Hit Rate
10.5%
K/Shot
1.27%
Avg Distance
21m
Usage19.3%
#3
TaegoTaego
Kills
33337
Hit Rate
10.7%
K/Shot
1.25%
Avg Distance
20m
Usage14.8%
#4
RondoRondo
Kills
15135
Hit Rate
10.6%
K/Shot
1.31%
Avg Distance
22m
Usage6.4%
#5
SanhokSanhok
Kills
13855
Hit Rate
11.8%
K/Shot
1.58%
Avg Distance
19m
Usage4.9%
#6
DestonDeston
Kills
8358
Hit Rate
11.9%
K/Shot
1.53%
Avg Distance
17m
Usage3.0%
#7
VikendiVikendi
Kills
6642
Hit Rate
12.1%
K/Shot
1.34%
Avg Distance
19m
Usage2.7%
#8
KarakinKarakin
Kills
3661
Hit Rate
12.2%
K/Shot
1.73%
Avg Distance
28m
Usage1.2%

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Understanding the Data

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.

About Our Data (Beta)

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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