muhammed

muhammed — CS2 Stats

IO76561199172315297[U:1:1212049569]Steam profile ↗✓ No bans

1,008Tracked matches46%Win rate2021Tracked since
1,141Hours in CS3Hrs last 2 wks
CSDB Rating4.6 DevelopingSupport
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 16,051 +4,047 18 Mar – 2 Jul · 35 days played
12,00416,468peak 16,46818 Mar2 Jul
16,468Peak Premier in tracked matches
949Highest Faceit ELO seen on CSDB
56Days played since 2025-11-11

Faceit ELO

  • At peak — 949
  • Next: Level 5 at 1,051 — 102 to go
  • Reached: Level 4 · Level 3 · Level 2

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

Share this profile

CSDB.GGmuhammedPEAK ELO949csdb.gg/stats

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Performance scores

Aim70
Positioning39
Utility55

0–100 skill scores via Leetify.

Recent form

COLD48–48–4Last 10048%Win rateWLLWLLWLLT

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · +2.5pp headshot accuracy · +5ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 639ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 633ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 631ms

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 (+2.5 against its own average).

Aim7.0
Utility5.5
Positioning3.9
Opening Duels0.5
Clutch2.2

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

Twistzz

Plays most like Twistzz 91% 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

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

Reaction time. 625ms 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

Aim7.0
Positioning3.9
Utility5.5
Mechanics6.8
Opening Duels0.6
Win Impact3.8

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time625ms−69ms
first ⅓ avg 694ms → last ⅓ avg 625ms
Headshot accuracy19.8%−1.8%
first ⅓ avg 21.6% → last ⅓ avg 19.8%

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

0.13Best match rating · 13–2 · cache, 3 May →
59%Best headshot accuracy · 13–11 · anubis, 8 Apr →
469msFastest reaction time · 7–13 · mirage, 9 Jul →
13–0Biggest win · mirage, 9 Apr →

Across the last 100 tracked matches.

Highlights

4Longest win streak
10–10In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 62% over 13ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B189–950%-0.03
mirageA1710–759%0.02
anubisC167–944%-0.01
infernoC135–838%-0.01
nukeA138–562%-0.02
overpassC114–736%-0.02
ancientD62–433%-0.02
cacheC52–340%0.02
train—11–0100%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

26,999Lifetime kills
0.99K/D
1,500Matches
37.9%Match win rate
49.3%Headshot % · Top 25% of tracked players
16.6%Shot accuracy · Top 25% of tracked players
2,909MVPs
899Hours (in match)
1,075Bombs planted
278Bombs defused

Most-used weapons

Lifetime map wins

2,500inferno
1,802dust2
1,641vertigo
1,501nuke
222train
29office
21lake
19cbble

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

Faceit stats

Combat

415Matches
49%Win rate
1.04Avg K/D
78.5ADR
43%Headshot %

Clutches & streaks

31%1v1 clutch win
29%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2255%0.9415.3
Inferno2050%1.0915.8
Dust21953%1.0916.4
Anubis1844%1.0015.3
Nuke1436%0.8214.4
Vertigo1258%1.0616.8
Cache850%1.1516.9
Overpass683%1.2017.2

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.

20.3%Headshot accuracy
34.4%Accuracy (enemy spotted)
35.1%Spray accuracy
80.7%Counter-strafing
9.2°Preaim
625msReaction time
22.8%T opening success
35.0%CT opening success
0.54Enemies flashed / flash
3.6%Flash assists
12.55HE damage / grenade
9.73Flashes / 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 22.7879% — 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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–11-0.0612%17 Sept →
cache9–13-0.0210%17 Sept →
dust29–130.0227%4 Sept →
mirage13–50.0124%1 Sept →
cache3–13-0.0428%28 Aug →
inferno7–13-0.0131%9 Jul →
cache13–40.1022%9 Jul →
mirage7–13-0.0222%9 Jul →
mirage9–130.0120%2 Jul →
overpass15–150.0029%30 Jun →
nuke13–7-0.0224%29 Jun →
overpass10–130.0224%29 Jun →
mirage13–70.0619%28 Jun →
dust213–10-0.0513%23 Jun →
inferno11–13-0.077%23 Jun →
mirage8–130.0217%22 Jun →
dust213–10-0.0527%16 Jun →
dust29–13-0.0733%10 Jun →
mirage13–90.0530%10 Jun →
anubis4–13-0.095%9 Jun →
inferno14–160.0021%7 Jun →
nuke13–10-0.0731%3 Jun →
mirage7–13-0.037%2 Jun →
overpass1–13-0.0613%2 Jun →
mirage13–90.0414%2 Jun →
mirage8–130.0123%23 May →
ancient13–90.0220%23 May →
nuke15–15-0.0018%22 May →
anubis13–20.0016%22 May →
mirage13–50.0123%22 May →
inferno7–13-0.0213%11 May →
nuke13–7-0.0416%10 May →
anubis13–160.0117%4 May →
anubis15–15-0.0012%3 May →
cache13–20.1328%3 May →
cache7–13-0.0814%3 May →
dust25–130.0220%3 May →
dust213–11-0.0415%27 Apr →
anubis13–70.0610%27 Apr →
inferno16–120.059%27 Apr →
anubis7–13-0.0713%22 Apr →
nuke13–10-0.0227%22 Apr →
dust211–13-0.0136%22 Apr →
anubis11–13-0.0216%21 Apr →
nuke13–11-0.017%21 Apr →
mirage13–110.0331%21 Apr →
inferno11–13-0.0342%16 Apr →
dust26–13-0.1117%16 Apr →
anubis11–130.0730%16 Apr →
anubis13–11-0.0331%15 Apr →
overpass9–130.0419%15 Apr →
overpass13–80.0419%14 Apr →
nuke7–13-0.0723%14 Apr →
dust213–10-0.0243%14 Apr →
overpass13–16-0.0419%13 Apr →
inferno13–10-0.0022%9 Apr →
mirage13–00.0421%9 Apr →
anubis13–110.0359%8 Apr →
anubis13–9-0.0424%7 Apr →
inferno10–13-0.0229%1 Apr →
dust27–13-0.0021%29 Mar →
anubis13–11-0.0221%29 Mar →
inferno13–100.0229%29 Mar →
overpass8–13-0.0519%29 Mar →
mirage13–110.0718%25 Mar →
nuke12–16-0.0316%24 Mar →
nuke13–10-0.0120%20 Mar →
ancient7–13-0.0123%20 Mar →
overpass13–50.0329%20 Mar →
overpass13–8-0.0721%19 Mar →
dust213–9-0.0315%18 Mar →
dust213–10-0.0220%17 Mar →
dust213–160.0220%16 Mar →
inferno13–80.0516%16 Mar →
ancient3–13-0.0619%16 Mar →
anubis9–13-0.0219%15 Mar →
dust213–50.0226%15 Mar →
nuke13–9-0.0034%15 Mar →
mirage16–12-0.0013%15 Mar →
nuke11–130.0023%12 Mar →
anubis13–2-0.0116%12 Mar →
anubis11–13-0.0028%11 Mar →
dust28–13-0.0424%11 Mar →
overpass13–11-0.0316%2 Mar →
anubis5–13-0.0120%2 Mar →
dust213–16-0.1019%27 Feb →
dust213–5-0.0221%22 Feb →
nuke13–100.0823%19 Feb →
inferno1–13-0.0218%19 Feb →
overpass5–13-0.0617%9 Feb →
mirage11–13-0.0420%9 Feb →
mirage11–130.0333%21 Dec →
inferno13–11-0.0315%10 Dec →
ancient4–13-0.0227%21 Nov →
nuke8–13-0.056%18 Nov →
mirage13–6-0.0011%17 Nov →
ancient15–15-0.0321%17 Nov →
dust213–7-0.0153%17 Nov →
train13–70.0126%11 Nov →
inferno9–130.0119%11 Nov →

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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