Malik

Malik — CS2 Stats

76561198860067472[U:1:899801744]Steam profile ↗✓ No bans

2,079Tracked matches47%Win rate2020Tracked since
2,828Hours in CS6Hrs last 2 wks
CSDB Rating5.7 SolidSupport
Premier CS Rating24,330Top 25% of 213,211 CSDB-tracked playersPink band · top ~3.7% of ranked players (population est.)
CSDB Leaderboard#29613 of 259889 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (9 days ago). 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: 24,330 +3,621 24 Apr – 26 Oct · 28 days played
20,70925,000peak 25,00024 Apr26 Oct
25,103Peak Premier in tracked matches
37Days played since 2026-04-24

Premier CS Rating

  • 670 below peak (25,000)
  • +113 over 30 days · steady
  • Next: Red band at 25,000 — 670 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate53.1%46.9%49.3%above
Shot accuracy13.9%13.0%13.4%above
Kill/death ratio0.961.081.120.17 short
Match win rate45.3%46.7%48.5%3.2% short

This profile matches the typical Red band player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMalikPREMIER24,330 · Pink bandcsdb.gg/stats

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Performance scores

Aim67
Positioning53
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY51–47–2Last 10051%Win rateLLLWWWLWLW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +3.6pp headshot accuracy · −44ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 494ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 549ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 571ms

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 (+1.5 against its own average).

Aim6.7
Utility5.5
Positioning5.3
Opening Duels0.2
Clutch4.8

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

iM

Plays most like iM 77% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

CT openings. Opening success drops from 54% on T to 27% on CT — first contacts on the defending side are being lost.

Reaction time. 581ms 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

Aim6.7
Positioning5.3
Utility5.5
Mechanics6.9
Opening Duels3.0
Win Impact3.9

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time580ms−31ms
first ⅓ avg 611ms → last ⅓ avg 580ms
Headshot accuracy18.0%−2.7%
first ⅓ avg 20.7% → last ⅓ avg 18.0%

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

0.07Best match rating · 13–2 · dust2, 17 Jul →
50%Best headshot accuracy · 1–10 · mirage, 24 Apr →
438msFastest reaction time · 13–3 · ancient, 24 Oct →
13–0Biggest win · inferno, 17 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
6–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 60% over 5dust2Weakest map · 44% over 18
MapGradePlayedRecordWin rateAvg rating
mirageA3922–1756%-0.03
dust2C188–1044%-0.01
ancientC167–944%-0.04
infernoA127–558%-0.03
nukeB63–350%-0.03
anubisA53–260%-0.02
cache—41–325%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (44% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

65,242Lifetime kills
0.96K/D
2,929Matches
45.3%Match win rate
53.1%Headshot % · Top 25% of Pink band
13.9%Shot accuracy · Top 50% of Pink band
4,330MVPs
2,225Hours (in match)
1,896Bombs planted
536Bombs defused

Most-used weapons

AK-4731,203
AUG1,891
SG 5531,264
AWP1,210
MP91,170

Lifetime map wins

6,147dust2
4,493inferno
1,423nuke
274vertigo
186train
83office
35assault
17cbble

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

Faceit stats

Combat

297Matches
52%Win rate
0.83Avg K/D
83.6ADR
45%Headshot %

Clutches & streaks

44%1v1 clutch win
10%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1553%0.9312.0
Ancient838%0.7113.0
Anubis667%1.2317.2
Dust2520%1.1916.2
Train367%2.5923.7
Overpass30%0.579.3
Inferno250%1.0714.5
Nuke1100%0.5310.0

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.

16.7%Headshot accuracy
35.3%Accuracy (enemy spotted)
38.7%Spray accuracy
81.2%Counter-strafing
11.3°Preaim
581msReaction time
54.3%T opening success
27.4%CT opening success
0.51Enemies flashed / flash
4.9%Flash assists
7.97HE damage / grenade
8.25Flashes / 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. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 27.3509% — below the 40% mark we flag

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.

44% win rate across 18 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
mirage13–16-0.0516%26 Oct →
dust27–130.0122%26 Oct →
cache2–110.0314%24 Oct →
ancient13–3-0.0717%24 Oct →
anubis16–14-0.0116%13 Oct →
inferno13–7-0.0118%12 Oct →
mirage8–13-0.0213%11 Oct →
mirage13–50.0523%11 Oct →
mirage7–13-0.077%11 Oct →
mirage13–4-0.0231%11 Oct →
dust213–8-0.0117%10 Oct →
mirage13–8-0.0112%10 Oct →
anubis10–13-0.086%10 Oct →
inferno7–13-0.076%10 Oct →
mirage13–7-0.0111%28 Sept →
mirage13–7-0.079%27 Sept →
mirage0–30.0329%27 Sept →
cache8–13-0.0717%27 Sept →
dust213–80.0321%26 Sept →
inferno4–13-0.0515%26 Sept →
nuke13–4-0.0226%26 Sept →
ancient8–13-0.0614%26 Sept →
ancient13–100.007%25 Sept →
cache11–13-0.0332%25 Sept →
nuke3–13-0.0418%24 Sept →
mirage13–11-0.0420%14 Sept →
dust25–13-0.0023%13 Sept →
mirage8–13-0.1016%13 Sept →
dust213–5-0.0221%13 Sept →
inferno1–13-0.0519%12 Sept →
mirage13–7-0.0722%12 Sept →
cache13–11-0.0417%12 Sept →
mirage15–15-0.0642%10 Sept →
ancient6–13-0.0115%31 Aug →
dust26–13-0.0310%31 Aug →
ancient6–13-0.0813%28 Aug →
mirage13–40.0017%28 Aug →
mirage5–13-0.106%16 Aug →
mirage13–4-0.0614%16 Aug →
nuke13–10-0.0021%16 Aug →
ancient7–13-0.0416%16 Aug →
ancient4–7-0.0320%16 Aug →
mirage7–13-0.0217%13 Aug →
mirage3–5-0.0713%13 Aug →
mirage13–6-0.0235%13 Aug →
dust213–50.0319%19 Jul →
inferno13–00.0225%17 Jul →
dust213–20.0721%17 Jul →
dust213–80.0021%8 Jun →
nuke4–13-0.1026%8 Jun →
mirage13–5-0.0523%6 Jun →
ancient13–10-0.097%6 Jun →
inferno13–9-0.0217%6 Jun →
dust211–13-0.0125%6 Jun →
ancient8–13-0.107%28 May →
dust211–13-0.0425%28 May →
inferno16–140.0115%27 May →
mirage13–7-0.0219%27 May →
inferno10–13-0.0710%27 May →
dust215–15-0.0216%26 May →
dust22–13-0.0220%24 May →
mirage13–11-0.0228%24 May →
mirage13–70.0321%23 May →
dust28–13-0.0714%23 May →
ancient13–10-0.0012%23 May →
mirage13–100.0115%23 May →
anubis13–5-0.0219%22 May →
mirage7–13-0.0719%22 May →
ancient10–6-0.110%22 May →
mirage8–13-0.0347%21 May →
ancient4–70.0232%11 May →
mirage16–13-0.0226%11 May →
mirage0–3-0.040%11 May →
mirage13–90.0429%10 May →
dust25–13-0.0414%10 May →
ancient13–11-0.0418%10 May →
inferno13–5-0.0117%10 May →
ancient9–130.0321%9 May →
inferno13–10-0.0616%9 May →
nuke9–13-0.0640%9 May →
mirage0–3-0.080%9 May →
mirage13–8-0.0217%9 May →
inferno11–13-0.0421%9 May →
dust210–13-0.0522%8 May →
anubis11–130.0218%8 May →
dust216–13-0.0522%8 May →
ancient13–4-0.0714%8 May →
mirage13–5-0.0221%8 May →
inferno13–8-0.0715%26 Apr →
mirage3–13-0.0626%26 Apr →
mirage13–4-0.028%25 Apr →
ancient6–3-0.0224%25 Apr →
mirage4–13-0.0221%25 Apr →
mirage13–5-0.0215%25 Apr →
mirage10–130.0113%25 Apr →
anubis13–20.0135%25 Apr →
nuke13–50.0320%24 Apr →
dust216–130.0222%24 Apr →
mirage1–10-0.0950%24 Apr →
mirage13–8-0.0120%24 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 →

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