Fahri Mali

Fahri Mali — CS2 Stats

XK76561199224997813[U:1:1264732085]Steam profile ↗✓ No bans

923Tracked matches47%Win rate2021Tracked since
1,833Hours in CS38Hrs last 2 wks
CSDB Rating5.3 DevelopingPositional Player
FaceitLevel 9 · 1,750 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Sep 2026 (68 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,750 → 1,750
+140Tracked matches · now 923
−10.0ppWin rate · 56.7% → 46.7%

Rating over time

1,750Highest Faceit ELO seen on CSDB
75Days played since 2024-02-01

Faceit ELO

  • At peak — 1,750
  • Next: Level 9 at 1,751 — 1 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-08
  • Level 7 first seen 2026-09-08

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,553), 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 9 medianLevel 10 medianvs Level 10
Headshot rate52.1%48.2%50.9%above
Shot accuracy11.4%13.2%13.7%2.3% short
Kill/death ratio1.061.071.090.03 short
Match win rate41.1%46.9%48.4%7.3% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFahri MaliFACEITLevel 9 · 1,750 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,750csdb.gg/stats

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Performance scores

Aim78
Positioning50
Utility49

0–100 skill scores via Leetify.

Recent form

COLD53–47Last 10053%Win rateLWLLWLLLWL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · +0.8pp headshot accuracy · −21ms 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 -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 522ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 520ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 531ms

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 (+1.3 against its own average).

Aim7.8
Utility4.9
Positioning5.0
Opening Duels1.4
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

sh1ro

Plays most like sh1ro 97% 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 →

CSDB Rating breakdown

Aim7.8
Positioning5.0
Utility4.9
Mechanics6.0
Opening Duels2.5
Win Impact3.9

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time532ms−13ms
first ⅓ avg 546ms → last ⅓ avg 532ms
Headshot accuracy18.7%−1.6%
first ⅓ avg 20.2% → last ⅓ avg 18.7%

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

0.13Best match rating · 13–9 · ancient, 21 Feb →
32%Best headshot accuracy · 11–13 · inferno, 23 Jun →
391msFastest reaction time · 3–13 · nuke, 8 Feb →
13–3Biggest win · mirage, 8 Apr →

Across the last 100 tracked matches.

Highlights

8Longest win streak
12–4In matches decided by ≤2 rounds
15Overtime games

Map breakdown

mirageBest map · 70% over 23vertigoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageS2316–770%-0.02
ancientB179–853%0.00
anubisB158–753%-0.03
dust2C146–843%0.00
infernoB126–650%-0.01
nukeA74–357%0.00
vertigoD61–517%-0.03
cache—21–150%0.01
overpass—21–150%0.00
train—21–150%-0.04

Across the last 100 tracked matches.

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

Lifetime stats

68,860Lifetime kills
1.06K/D
2,644Matches
41.1%Match win rate
52.1%Headshot % · Top 50% of Level 9 players
11.4%Shot accuracy
6,208MVPs
1,231Hours (in match)
1,666Bombs planted
631Bombs defused

Most-used weapons

AK-4720,278
AWP4,154
MP91,947
Knife1,905
MAC-101,870

Lifetime map wins

5,250dust2
4,324inferno
2,207vertigo
1,741nuke
193train
8italy
1assault
1safehouse

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

Faceit stats

Combat

2,005Matches
51%Win rate
1.04Avg K/D
77.7ADR
50%Headshot %

Clutches & streaks

37%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage28252%0.9814.8
Dust220348%0.9815.4
Ancient19652%0.9715.4
Anubis13547%0.9215.0
Inferno11246%0.9514.9
Vertigo5760%0.9015.2
Nuke5351%0.9615.6
Overpass1338%1.0317.9

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.

18.8%Headshot accuracy
37.8%Accuracy (enemy spotted)
39.2%Spray accuracy
77.2%Counter-strafing
10.2°Preaim
528msReaction time
46.7%T opening success
33.5%CT opening success
0.52Enemies flashed / flash
3.2%Flash assists
4.99HE damage / grenade
6.82Flashes / 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 33.5188% — below the 40% mark we flag

Spend your practice time on Vertigo

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0419%13 Nov →
ancient13–50.0710%10 Nov →
anubis7–13-0.0714%4 Nov →
dust24–13-0.0519%30 Oct →
anubis13–11-0.0518%26 Oct →
inferno6–13-0.0119%15 Oct →
anubis6–13-0.1114%15 Oct →
inferno6–13-0.0526%8 Oct →
dust213–40.0622%6 Oct →
cache3–130.0119%4 Oct →
anubis5–13-0.0823%3 Oct →
inferno13–70.0815%3 Oct →
inferno2–13-0.0323%1 Oct →
dust213–60.0316%1 Oct →
mirage13–8-0.0114%24 Sept →
inferno10–13-0.0422%22 Sept →
dust213–70.0729%18 Sept →
nuke13–11-0.0415%12 Sept →
anubis13–5-0.027%9 Sept →
anubis6–130.049%22 Jul →
nuke13–60.0917%19 Jul →
dust213–100.0520%16 Jul →
dust29–13-0.0420%16 Jul →
ancient6–13-0.0113%14 Jul →
ancient12–16-0.0218%12 Jul →
inferno13–11-0.0613%2 Jul →
ancient13–80.0123%23 Jun →
inferno11–130.0332%23 Jun →
mirage16–14-0.0023%23 Jun →
ancient13–160.0026%16 Jun →
anubis12–16-0.0218%6 Jun →
inferno13–100.0314%25 May →
mirage13–11-0.0228%9 May →
cache13–40.0111%30 Apr →
mirage3–13-0.0413%26 Apr →
overpass23–25-0.0411%24 Apr →
anubis10–13-0.0313%24 Apr →
inferno10–13-0.0421%11 Apr →
dust213–70.1123%11 Apr →
mirage13–30.0122%8 Apr →
mirage13–10-0.0127%7 Apr →
mirage13–40.034%3 Apr →
overpass13–30.0527%18 Mar →
inferno13–70.0310%13 Mar →
mirage13–90.0119%10 Mar →
anubis13–70.0317%9 Mar →
anubis10–13-0.0317%7 Mar →
dust211–13-0.0515%26 Feb →
nuke16–14-0.0322%25 Feb →
mirage13–110.0320%24 Feb →
dust29–13-0.0321%20 Feb →
ancient12–160.0418%20 Feb →
nuke13–80.0230%18 Jan →
mirage13–11-0.0028%30 Dec →
inferno16–120.0417%30 Nov →
mirage9–13-0.0113%29 Nov →
mirage6–13-0.0227%16 Nov →
mirage8–13-0.0617%16 Nov →
dust211–13-0.0529%9 Nov →
ancient13–11-0.0822%18 Oct →
dust27–13-0.0418%3 Oct →
dust213–40.0224%29 Sept →
nuke10–13-0.0228%27 Sept →
train13–5-0.0123%15 Sept →
dust28–13-0.0423%5 Jul →
ancient16–13-0.028%23 May →
mirage13–3-0.0017%20 May →
train4–13-0.0714%14 Feb →
mirage5–13-0.0627%11 Feb →
ancient13–11-0.037%26 Jan →
ancient16–19-0.0322%23 Jan →
anubis13–10-0.0417%23 Sept →
mirage18–22-0.0721%26 Jun →
anubis13–70.0423%26 Jun →
ancient10–130.0123%6 Mar →
mirage13–11-0.0526%5 Mar →
anubis13–8-0.0320%5 Mar →
vertigo9–130.0221%5 Mar →
ancient13–9-0.0220%5 Mar →
ancient13–70.0118%26 Feb →
mirage13–8-0.0831%24 Feb →
ancient8–13-0.0622%24 Feb →
ancient13–90.1318%21 Feb →
vertigo22–19-0.0420%21 Feb →
vertigo8–13-0.0225%19 Feb →
mirage13–7-0.0717%19 Feb →
vertigo5–13-0.0720%13 Feb →
mirage13–50.1219%12 Feb →
anubis19–16-0.0527%12 Feb →
nuke13–16-0.0414%8 Feb →
mirage13–8-0.0416%8 Feb →
vertigo4–13-0.028%8 Feb →
nuke3–130.0432%8 Feb →
mirage13–8-0.0216%8 Feb →
mirage7–13-0.0325%7 Feb →
anubis13–70.0324%7 Feb →
ancient13–50.0625%7 Feb →
ancient7–13-0.0516%7 Feb →
vertigo7–13-0.0316%2 Feb →
inferno19–17-0.0518%1 Feb →

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 →

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