Mustafa

Mustafa — CS2 Stats

76561198091982701[U:1:131716973]Steam profile ↗✓ No bans

918Tracked matches43%Win rate2020Tracked since
CSDB Rating6.2 SolidSupport
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

+4Tracked matches · now 918
−6.7ppWin rate · 50.0% → 43.3%

Rating over time

Premier CS Rating: 19,498 -5,664 1 Jan – 28 Jun · 28 days played
19,46125,442peak 25,4421 Jan28 Jun
25,564Peak Premier in tracked matches
55Days played since 2026-01-01

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

Share this profile

CSDB.GGMustafaFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim82
Positioning53
Utility56

0–100 skill scores via Leetify.

Recent form

COLD45–49–6Last 10045%Win rateWLLWLLLLLL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −3.5pp headshot accuracy · −113ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 505ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 488ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 544ms

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 (+1.7 against its own average).

Aim8.2
Utility5.6
Positioning5.3
Opening Duels4.1
Clutch0.8

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

device

Plays most like device 99% playstyle similarity

Most alike: positioning profile, utility contribution.

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

T-side openings. Opening success drops from 54% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.2
Positioning5.3
Utility5.6
Mechanics8.1
Opening Duels3.7
Win Impact2.8

Composite 6.2/10 (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-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time534ms−61ms
first ⅓ avg 595ms → last ⅓ avg 534ms
Headshot accuracy17.6%−0.2%
first ⅓ avg 17.7% → last ⅓ avg 17.6%

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

0.15Best match rating · 13–3 · cache, 13 Jun →
38%Best headshot accuracy · 13–2 · nuke, 26 Apr →
391msFastest reaction time · 13–7 · overpass, 22 May →
13–0Biggest win · ancient, 3 Jan →

Across the last 100 tracked matches.

Highlights

8Longest win streak
1–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

overpassBest map · 67% over 6ancientWeakest map · 15% over 13
MapGradePlayedRecordWin rateAvg rating
dust2C2912–1741%-0.00
mirageA1810–856%-0.01
ancientD132–1115%-0.01
infernoA106–460%-0.01
cacheC94–544%-0.00
nukeA85–363%0.00
anubisD72–529%-0.06
overpassS64–267%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

278Matches
59%Win rate
1.14Avg K/D
88.3ADR
42%Headshot %

Clutches & streaks

24%1v1 clutch win
26%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3661%1.2316.8
Inferno2176%1.2016.4
Dust22060%1.0115.7
Cache1669%1.1817.3
Anubis1553%1.1415.4
Nuke1553%1.2417.5
Overpass1050%0.8213.7
Ancient838%0.7713.4

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.

17.8%Headshot accuracy
33.2%Accuracy (enemy spotted)
35.2%Spray accuracy
86.3%Counter-strafing
7.0°Preaim
536msReaction time
36.1%T opening success
53.6%CT opening success
0.65Enemies flashed / flash
4.5%Flash assists
11.29HE damage / grenade
7.74Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 36.0976% — below the 40% mark we flag

Spend your practice time on Ancient

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

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–40.1321%4 Oct →
cache3–13-0.0416%4 Oct →
ancient6–130.039%4 Oct →
mirage13–7-0.0614%7 Sept →
dust26–13-0.0615%7 Sept →
nuke8–13-0.0933%5 Sept →
dust29–13-0.0417%30 Aug →
cache5–13-0.0614%30 Aug →
dust28–13-0.0415%30 Aug →
dust210–130.0313%27 Aug →
cache13–40.0424%27 Aug →
dust213–10-0.0223%23 Aug →
mirage13–100.0117%23 Aug →
dust27–130.0414%23 Aug →
inferno14–16-0.0118%20 Jul →
mirage13–5-0.0315%16 Jul →
mirage13–10-0.0426%13 Jul →
dust210–13-0.0033%5 Jul →
mirage11–130.0018%28 Jun →
anubis9–13-0.0612%16 Jun →
dust25–13-0.0314%13 Jun →
cache13–30.1520%13 Jun →
overpass13–3-0.0214%11 Jun →
ancient7–130.0024%10 Jun →
inferno13–10-0.029%8 Jun →
mirage13–10-0.0117%6 Jun →
anubis6–13-0.0921%2 Jun →
dust213–100.0112%2 Jun →
dust213–2-0.0026%24 May →
overpass7–13-0.0711%23 May →
overpass13–7-0.0421%22 May →
cache13–6-0.008%19 May →
cache13–60.0416%17 May →
dust214–16-0.0323%12 May →
nuke15–15-0.0411%12 May →
ancient9–13-0.047%10 May →
inferno13–80.0714%10 May →
anubis7–13-0.1729%5 May →
nuke5–130.0125%3 May →
dust215–150.0219%3 May →
cache7–13-0.053%1 May →
cache8–13-0.0723%1 May →
cache12–12-0.0213%1 May →
mirage11–130.018%26 Apr →
nuke13–20.0138%26 Apr →
inferno3–13-0.0417%12 Apr →
dust213–3-0.0220%12 Apr →
ancient8–13-0.0116%11 Apr →
dust213–60.0019%9 Apr →
dust25–13-0.0523%9 Apr →
dust215–15-0.0214%5 Apr →
mirage3–13-0.0223%5 Apr →
dust26–13-0.0116%4 Apr →
mirage7–130.0221%4 Apr →
anubis13–8-0.0316%2 Apr →
ancient2–7-0.0110%29 Mar →
anubis15–15-0.0418%29 Mar →
dust213–9-0.0226%29 Mar →
ancient10–130.0119%27 Mar →
dust27–130.0223%27 Mar →
nuke13–10-0.0520%27 Mar →
dust29–130.0122%26 Mar →
overpass13–5-0.0136%24 Mar →
dust25–13-0.0316%24 Mar →
mirage13–100.0431%22 Mar →
ancient2–13-0.0927%21 Feb →
mirage2–13-0.0419%21 Feb →
nuke13–40.0228%12 Feb →
dust213–90.0412%12 Feb →
ancient10–13-0.0426%6 Feb →
mirage16–14-0.0116%6 Feb →
mirage9–130.0117%1 Feb →
inferno9–130.0020%30 Jan →
dust27–130.0324%30 Jan →
dust213–80.0215%30 Jan →
ancient5–13-0.069%27 Jan →
mirage13–50.037%26 Jan →
dust213–30.0416%26 Jan →
inferno13–3-0.0614%26 Jan →
inferno13–4-0.0218%25 Jan →
dust216–120.0113%25 Jan →
overpass13–100.0319%25 Jan →
mirage13–10-0.025%25 Jan →
anubis13–7-0.0113%25 Jan →
anubis11–130.0218%25 Jan →
mirage13–4-0.0923%25 Jan →
mirage11–130.0518%24 Jan →
dust213–80.0117%24 Jan →
overpass3–13-0.0418%22 Jan →
ancient5–13-0.0324%22 Jan →
ancient11–13-0.0218%17 Jan →
dust213–80.0133%13 Jan →
mirage11–130.0119%4 Jan →
inferno8–13-0.0522%3 Jan →
ancient13–00.0718%3 Jan →
dust215–150.0020%1 Jan →
nuke13–50.0319%1 Jan →
inferno13–50.0219%1 Jan →
ancient13–60.048%1 Jan →
inferno13–70.0619%1 Jan →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 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.