Mosin Nagant

Mosin Nagant

SR

Vintage sniper rifle.

Bolt-action sniper; Kar98k equivalent with unique model

A classic bolt-action sniper rifle with 79 damage. Features 7.62mm ammunition and accepts sniper rifle attachments. Shares stats with Kar98k but has unique visuals and sound.

Select a weapon to view its damage stats

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Hit Rate24.8%
HS %36.4%
Users0.0%
Kill Dist113m

Quick Compare

Compare Mosin Nagant with other SR weapons

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Usage Patterns & Trends

How and where players use the Mosin Nagant in real matches

Performance Trends (Last 30 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
Mosin Nagant

Mosin Nagant

SR
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:

Mosin Nagant
Military Helmet (Level 2)
Police Vest (Level 2)

Attachment Statistics

All weapons →

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

Stock

AttachmentUsage %Acc %Kill %Avg Dmg
1Bullet Loops
41.7%
76.36%
-1.61pp
25.45%
+6.61pp
62.4
+2.85 dmg
2Cheek Pad
37.1%
79.59%
+1.62pp
12.24%
-6.60pp
56.7
-2.85 dmg
No attachment
21.2%
85.71%3.57%68.4

Scope / Sight

AttachmentUsage %Acc %Kill %Avg Dmg
16x Scope
26.7%
82.86%
-2.84pp
20.00%
+7.26pp
58.0
+0.53 dmg
28x Scope
58.8%
75.32%
-10.38pp
15.58%
+2.84pp
66.1
+8.63 dmg
34x Scope
9.9%
84.62%
-1.08pp
15.38%
+2.64pp
52.8
-4.67 dmg
4Hybrid Scope
4.6%
100.00%
+14.30pp
0.00%
-12.74pp
53.0
-4.47 dmg

Muzzle

AttachmentUsage %Acc %Kill %Avg Dmg
1Flash Hider SR
21.2%
82.14%
-0.20pp
17.86%
+4.20pp
59.1
-8.50 dmg
2Compensator SR
18.9%
76.00%
-6.34pp
12.00%
-1.66pp
69.8
+2.20 dmg
3Suppressor SR
6.8%
88.89%
+6.55pp
11.11%
-2.55pp
73.9
+6.30 dmg
No attachment
53.0%
78.57%17.14%58.2

Top Maps for Mosin Nagant

Best performing maps ranked by kills (last 14 days)

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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