Karlashnikov

Karlashnikov — CS2 Stats

EE76561198035606699[U:1:75340971]Steam profile ↗✓ No bans

760Tracked matches43%Win rate2020Tracked since
3,824Hours in CS2Hrs last 2 wks
CSDB Rating5.7 SolidPositional Player
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (25 days ago). Ranks are recorded once per day this page is viewed.

+9Tracked matches · now 760
0.0ppWin rate · 42.9% → 42.9%

Rating over time

Premier CS Rating: 17,289 +454 10 Jul – 21 Jun · 21 days played
15,63417,519peak 17,51910 Jul21 Jun
17,519Peak Premier in tracked matches
50Days played since 2025-07-10

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches16——
Win rate38%——
K/D0.78——
Headshot %46%——

Measured 13 Sep 2026 → 8 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=12,879), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate49.3%44.8%45.7%above
Shot accuracy17.9%12.4%12.7%above
Kill/death ratio0.921.031.050.13 short
Match win rate35.2%45.2%45.7%10.5% short

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKarlashnikovFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim66
Positioning56
Utility42

0–100 skill scores via Leetify.

Recent form

COLD44–48–8Last 10044%Win rateLWWTLWLLLL

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −5.7pp headshot accuracy · +34ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 719ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 740ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 723ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim6.6
Utility4.2
Positioning5.6
Opening Duels3.8
Clutch3.0

Excellent counter-strafingLimited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

jL

Plays most like jL 93% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Strengths

Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Reaction time. 719ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim6.6
Positioning5.6
Utility4.2
Mechanics9.4
Opening Duels2.9
Win Impact2.6

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time720ms+3ms
first ⅓ avg 718ms → last ⅓ avg 720ms
Headshot accuracy17.3%−1.5%
first ⅓ avg 18.8% → last ⅓ avg 17.3%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.14Best match rating · 16–14 · dust2, 15 Aug →
38%Best headshot accuracy · 8–13 · nuke, 2 Nov →
531msFastest reaction time · 13–5 · nuke, 28 Sept →
13–1Biggest win · mirage, 29 Jan →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–9In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 62% over 13dust2Weakest map · 30% over 30
MapGradePlayedRecordWin rateAvg rating
dust2D309–2130%0.00
infernoB2010–1050%0.01
mirageC167–944%0.00
nukeA138–562%-0.00
overpassC83–538%-0.03
ancientA53–260%-0.01
cache—42–250%-0.01
anubis—32–167%0.02
train—10–10%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (30% over 30). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

144,467Lifetime kills
0.92K/D
6,496Matches
35.2%Match win rate
49.3%Headshot % · Top 50% of Level 6 players
17.9%Shot accuracy · Top 25% of Level 6 players
13,861MVPs
2,595Hours (in match)
7,771Bombs planted
1,895Bombs defused

Most-used weapons

AK-4762,791
AWP8,769
UMP-452,300
FAMAS2,163
AUG2,158
Knife1,695

Lifetime map wins

11,999inferno
10,874dust2
4,050nuke
1,718train
1,050vertigo
395cbble
94lake
56safehouse

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1,620Matches
50%Win rate
1.08Avg K/D
76.6ADR
42%Headshot %

Clutches & streaks

35%1v1 clutch win
9%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Dust21436%0.8913.6
Inferno1315%0.8716.1
Mirage956%1.1715.7
Nuke838%0.9312.5
Overpass650%1.0013.3
Cache520%1.0517.6
Anubis20%0.6912.0
Vertigo250%1.2621.5

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.6%Headshot accuracy
35.3%Accuracy (enemy spotted)
35.0%Spray accuracy
92.2%Counter-strafing
9.8°Preaim
719msReaction time
41.3%T opening success
41.9%CT opening success
0.55Enemies flashed / flash
0.3%Flash assists
10.08HE damage / grenade
4.80Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 718.5578ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

30% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage7–130.0113%6 Oct →
dust213–7-0.0010%6 Oct →
mirage13–110.0710%16 Sept →
dust212–120.0219%16 Sept →
mirage3–13-0.0917%16 Sept →
mirage13–40.0222%15 Sept →
cache5–13-0.0616%15 Sept →
inferno6–13-0.0211%15 Sept →
dust27–13-0.0018%14 Sept →
cache8–13-0.0613%5 Aug →
mirage9–13-0.0213%5 Aug →
cache13–70.0011%2 Aug →
dust28–13-0.0713%2 Aug →
anubis13–100.0218%27 Jul →
dust26–13-0.0121%27 Jul →
mirage11–13-0.0218%26 Jul →
dust216–120.0321%20 Jul →
dust210–130.0319%7 Jul →
overpass15–15-0.1033%21 Jun →
nuke13–8-0.0436%21 Jun →
inferno13–70.0324%20 Jun →
dust26–13-0.1025%20 Jun →
inferno13–8-0.0213%20 May →
nuke13–6-0.0614%10 May →
inferno11–13-0.067%10 May →
inferno1–13-0.0524%10 May →
cache13–110.0812%8 May →
inferno13–60.0226%8 May →
mirage10–130.0015%12 Apr →
dust25–130.0216%12 Apr →
mirage8–13-0.0414%5 Apr →
nuke12–12-0.0424%12 Mar →
inferno5–13-0.066%8 Mar →
dust23–13-0.0213%6 Feb →
dust213–20.0728%6 Feb →
inferno13–60.0325%6 Feb →
inferno11–130.0523%6 Feb →
dust27–13-0.059%6 Feb →
anubis13–100.0317%6 Feb →
overpass13–7-0.0313%6 Feb →
overpass11–130.024%5 Feb →
dust212–120.0814%5 Feb →
nuke7–13-0.0124%29 Jan →
mirage13–10.0219%29 Jan →
dust211–13-0.0317%29 Jan →
nuke13–16-0.0325%29 Jan →
overpass4–13-0.0417%27 Jan →
mirage12–00.0533%27 Jan →
nuke13–7-0.0411%27 Jan →
dust28–13-0.0212%27 Jan →
dust212–12-0.0010%26 Jan →
dust213–80.0629%16 Jan →
mirage13–80.0815%15 Jan →
inferno10–13-0.0312%15 Jan →
dust25–13-0.0310%18 Nov →
inferno13–10-0.0022%18 Nov →
inferno16–140.0520%16 Nov →
dust213–6-0.0611%16 Nov →
ancient4–13-0.092%16 Nov →
nuke13–5-0.0013%16 Nov →
nuke8–130.0538%2 Nov →
inferno10–13-0.0113%29 Oct →
dust29–13-0.0315%6 Oct →
dust28–13-0.0215%29 Sept →
nuke13–70.1017%29 Sept →
mirage16–13-0.0233%28 Sept →
inferno13–30.0221%28 Sept →
mirage10–13-0.113%28 Sept →
nuke13–50.0818%28 Sept →
overpass1–13-0.0825%19 Sept →
ancient13–110.0316%19 Sept →
dust214–16-0.0316%18 Sept →
dust213–60.1120%17 Sept →
inferno13–90.0919%16 Sept →
ancient13–100.0216%15 Sept →
dust211–13-0.0112%15 Sept →
nuke4–13-0.0414%15 Sept →
mirage4–13-0.0121%19 Aug →
inferno15–15-0.0122%19 Aug →
overpass13–11-0.0111%16 Aug →
dust216–140.1418%15 Aug →
overpass5–13-0.0225%15 Aug →
mirage13–60.1018%14 Aug →
dust215–150.0320%6 Aug →
mirage8–13-0.0122%5 Aug →
dust213–90.0315%4 Aug →
ancient15–15-0.0326%4 Aug →
inferno13–10.0733%4 Aug →
ancient13–110.0122%4 Aug →
overpass13–100.0423%4 Aug →
inferno16–140.0213%27 Jul →
dust23–13-0.0632%17 Jul →
nuke13–100.0120%17 Jul →
dust213–60.0410%17 Jul →
dust211–13-0.0416%16 Jul →
inferno10–130.0120%16 Jul →
anubis7–130.0119%15 Jul →
train8–13-0.0117%10 Jul →
nuke13–10-0.0416%10 Jul →
inferno11–130.0424%10 Jul →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.