Kalashnikov

Kalashnikov — CS2 Stats

RU76561197973198216[U:1:12932488]Steam profile ↗✓ No bans

3,323Tracked matches33%Win rate2020Tracked since
CSDB Rating4.5 DevelopingSupport
Premier CS Rating19,157Top 50% of 204,412 CSDB-tracked playersPurple band · top ~11.9% of ranked players (population est.)
CSDB Leaderboard#93644 of 251476 tracked
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,157 -1,970 23 Apr – 13 Oct · 19 days played
17,31221,226peak 21,22623 Apr13 Oct
21,439Peak Premier in tracked matches
1,348Highest Faceit ELO seen on CSDB
37Days played since 2026-04-23

Faceit ELO

  • At peak — 1,348
  • Next: Level 7 at 1,351 — 3 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-22
  • Level 5 first seen 2026-09-22

Premier CS Rating

  • 2,069 below peak (21,226)
  • +1,439 over 30 days · improving
  • Next: Pink band at 20,000 — 843 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-22
  • Blue band first seen 2026-09-22

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGKalashnikovPREMIER19,157 · Purple bandPEAK ELO1,348csdb.gg/stats

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Performance scores

Aim50
Positioning59
Utility59

0–100 skill scores via Leetify.

Recent form

COLD42–58Last 10042%Win rateLLLWLLWLLW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +0.6pp headshot accuracy · −22ms reaction

Win rate 0pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 10%
  • Avg reaction 608ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 562ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 573ms

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: Support — Utility contribution stands above the rest of this profile (+1.2 against its own average).

Aim5.0
Utility5.9
Positioning5.9
Opening Duels3.7
Clutch3.4

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

donk

Plays most like donk 72% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Areas to improve

Reaction time. 568ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.0
Positioning5.9
Utility5.9
Mechanics3.6
Opening Duels3.7
Win Impact0.0

Composite 4.5/10 (Developing), 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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time566ms−25ms
first ⅓ avg 590ms → last ⅓ avg 566ms
Headshot accuracy10.8%−3.4%
first ⅓ avg 14.3% → last ⅓ avg 10.8%

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

0.09Best match rating · 13–5 · nuke, 19 Jul →
29%Best headshot accuracy · 13–2 · dust2, 13 May →
453msFastest reaction time · 13–9 · inferno, 15 Sept →
13–2Biggest win · mirage, 4 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
6–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 60% over 25dust2Weakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
infernoA2515–1060%-0.00
nukeB199–1047%-0.01
dust2D175–1229%0.00
ancientD155–1033%-0.02
cacheD93–633%-0.03
anubisD72–529%-0.03
overpassC52–340%-0.04
mirage—31–233%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,333Matches
50%Win rate
0.95Avg K/D
76.6ADR
32%Headshot %

Clutches & streaks

37%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno20656%1.0114.9
Dust215746%0.9615.5
Ancient15654%0.9815.6
Nuke10235%0.8814.2
Anubis7840%0.9313.9
Overpass3256%0.9414.0
Mirage933%0.8814.3
Vertigo617%0.8917.0

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.

10.6%Headshot accuracy
37.1%Accuracy (enemy spotted)
39.4%Spray accuracy
66.3%Counter-strafing
11.8°Preaim
568msReaction time
40.1%T opening success
49.6%CT opening success
0.59Enemies flashed / flash
5.5%Flash assists
11.18HE damage / grenade
11.07Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.5508% — below the 15% 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.

29% win rate across 17 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
mirage10–13-0.048%13 Oct →
dust213–16-0.055%13 Oct →
mirage6–13-0.0621%11 Oct →
inferno13–6-0.025%11 Oct →
inferno4–13-0.1314%10 Oct →
ancient6–130.068%8 Oct →
nuke13–70.067%8 Oct →
dust26–130.0414%7 Oct →
ancient7–130.0212%7 Oct →
nuke16–130.0110%6 Oct →
dust28–13-0.054%4 Oct →
ancient11–13-0.079%4 Oct →
mirage13–20.0714%4 Oct →
cache4–13-0.065%24 Sept →
inferno13–70.027%24 Sept →
ancient7–13-0.049%24 Sept →
inferno5–2-0.0122%24 Sept →
dust210–13-0.017%24 Sept →
inferno8–130.049%21 Sept →
nuke5–13-0.0311%15 Sept →
inferno13–90.0211%15 Sept →
dust213–11-0.0111%15 Sept →
dust29–13-0.0315%14 Sept →
ancient13–6-0.0112%14 Sept →
nuke20–22-0.049%14 Sept →
anubis13–50.0214%14 Sept →
inferno14–160.0013%11 Sept →
dust213–7-0.0313%11 Sept →
inferno9–13-0.0116%2 Sept →
anubis3–13-0.079%2 Sept →
dust28–130.0920%2 Sept →
anubis16–13-0.0212%30 Jul →
cache10–13-0.063%30 Jul →
inferno9–13-0.038%26 Jul →
cache13–40.0221%26 Jul →
nuke4–13-0.058%22 Jul →
inferno13–90.089%22 Jul →
ancient13–90.068%22 Jul →
dust22–130.0120%19 Jul →
cache13–110.037%19 Jul →
inferno13–70.0011%19 Jul →
nuke13–50.0913%19 Jul →
dust214–160.0120%12 Jul →
inferno13–30.0620%12 Jul →
nuke11–13-0.0218%12 Jul →
dust22–13-0.0618%12 Jul →
ancient13–16-0.049%1 Jul →
nuke2–13-0.0926%1 Jul →
dust23–13-0.1011%1 Jul →
nuke3–13-0.085%18 Jun →
cache4–13-0.120%15 Jun →
anubis5–13-0.1110%15 Jun →
cache13–16-0.017%12 Jun →
anubis4–13-0.0610%12 Jun →
ancient7–13-0.0613%12 Jun →
ancient5–13-0.0310%6 Jun →
nuke13–80.0512%6 Jun →
dust26–130.0715%6 Jun →
inferno9–13-0.0011%6 Jun →
nuke10–130.0112%5 Jun →
overpass6–13-0.0011%5 Jun →
inferno13–11-0.047%5 Jun →
anubis14–16-0.0116%5 Jun →
ancient6–13-0.0614%5 Jun →
inferno13–50.0314%5 Jun →
nuke4–13-0.0518%5 Jun →
inferno13–11-0.0211%3 Jun →
nuke10–130.0118%3 Jun →
dust213–80.0327%3 Jun →
dust213–100.0524%3 Jun →
nuke13–90.0313%2 Jun →
inferno10–13-0.0412%2 Jun →
inferno16–12-0.0311%2 Jun →
inferno7–13-0.029%30 May →
inferno5–13-0.0413%27 May →
ancient5–13-0.087%27 May →
overpass13–6-0.0213%27 May →
ancient13–9-0.0019%27 May →
anubis10–130.0111%17 May →
ancient13–6-0.0015%16 May →
inferno13–90.049%13 May →
dust213–20.0929%13 May →
overpass8–13-0.079%10 May →
nuke5–13-0.0616%10 May →
cache11–13-0.0315%10 May →
dust21–13-0.0420%3 May →
nuke13–30.0113%3 May →
nuke13–30.0113%3 May →
inferno13–20.0110%3 May →
inferno13–20.0110%3 May →
overpass9–13-0.0910%2 May →
ancient13–11-0.0513%2 May →
inferno13–20.0223%2 May →
cache13–100.0410%1 May →
cache2–13-0.0619%1 May →
nuke13–8-0.0416%29 Apr →
ancient9–13-0.048%29 Apr →
inferno10–13-0.038%29 Apr →
overpass13–10-0.0111%23 Apr →
nuke13–110.0219%23 Apr →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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