s4m

s4m — CS2 Stats

GB76561197989257624[U:1:28991896]Steam profile ↗✓ No bans

943Tracked matches69%Win rate2020Tracked since
5,260Hours in CS23Hrs last 2 wks
CSDB Rating6.8 SolidPositional Player
Premier CS Rating18,882Top 50% of 212,379 CSDB-tracked playersPurple band · top ~12.9% of ranked players (population est.)
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 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: 18,882 -541 31 Jul – 31 Oct · 15 days played
16,27519,931peak 19,93131 Jul31 Oct
19,931Peak Premier in tracked matches
22Days played since 2026-07-16

Premier CS Rating

  • 1,049 below peak (19,931)
  • +589 over 30 days · improving
  • -541 over 90 days
  • Next: Pink band at 20,000 — 1,118 to go
  • Reached: Purple band · Blue band · Light 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 Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate62.5%46.8%48.2%above
Shot accuracy16.6%13.0%13.2%above
Kill/death ratio0.851.061.070.22 short
Match win rate35.1%46.3%46.9%11.8% short

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGs4mFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER18,882 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim82
Positioning67
Utility36

0–100 skill scores via Leetify.

Recent form

HOT51–45–4Last 10051%Win rateWLLWWWWWLW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +1.1pp headshot accuracy · +12ms reaction

Win rate up 20pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 545ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 558ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 552ms

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 (+1.9 against its own average).

Aim8.2
Utility3.6
Positioning6.7
Opening Duels5.1
Clutch3.8

Strong CT-side openerLimited utility dependence

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 96% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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
Positioning6.7
Utility3.6
Mechanics6.2
Opening Duels5.6
Win Impact10.0

Composite 6.8/10 (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 rating0.00−0.03
first ⅓ avg 0.03 → last ⅓ avg 0.00
Reaction time547ms−34ms
first ⅓ avg 581ms → last ⅓ avg 547ms
Headshot accuracy20.6%−1.4%
first ⅓ avg 22.0% → last ⅓ avg 20.6%

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

0.17Best match rating · 13–5 · cache, 6 Aug →
45%Best headshot accuracy · 6–13 · cache, 22 Jul →
391msFastest reaction time · 10–13 · ancient, 30 Sept →
13–2Biggest win · cache, 17 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–8In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 67% over 15nukeWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
ancientB179–853%0.03
cacheB158–753%0.02
anubisB158–753%0.02
infernoB157–847%0.01
dust2S1510–567%0.01
mirageB136–746%0.01
nukeD103–730%-0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

303,238Lifetime kills
0.85K/D
7,156Matches
35.1%Match win rate
62.5%Headshot % · Top 5% of Level 8 players
16.6%Shot accuracy · Top 25% of Level 8 players
15,245MVPs
5,889Hours (in match)
7,776Bombs planted
1,292Bombs defused

Most-used weapons

AK-47185,435
AWP26,646
P2507,063
FAMAS2,186

Lifetime map wins

15,436inferno
11,927dust2
5,398nuke
1,725train
1,128cbble
516vertigo
369office
347aztec

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

Faceit stats

Combat

468Matches
54%Win rate
1.17Avg K/D
82.3ADR
49%Headshot %

Clutches & streaks

39%1v1 clutch win
23%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust21164%0.9015.8
Mirage875%1.1514.9
Anubis450%1.1518.0
Inferno367%0.8714.0
Ancient2100%1.7523.5
Nuke1100%1.4227.0

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.

20.8%Headshot accuracy
35.6%Accuracy (enemy spotted)
39.1%Spray accuracy
77.8%Counter-strafing
8.0°Preaim
538msReaction time
46.9%T opening success
57.9%CT opening success
0.41Enemies flashed / flash
5.3%Flash assists
8.04HE damage / grenade
4.12Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4095 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–90.0119%31 Oct →
ancient7–13-0.0417%31 Oct →
nuke7–130.0022%30 Oct →
cache13–10-0.0214%30 Oct →
ancient13–40.0717%30 Oct →
cache13–100.0035%30 Oct →
anubis13–40.1021%30 Oct →
cache13–7-0.0112%28 Oct →
nuke10–13-0.0221%28 Oct →
anubis13–90.0221%28 Oct →
inferno13–7-0.006%28 Oct →
anubis13–80.0219%23 Oct →
inferno1–13-0.0610%23 Oct →
dust213–40.0522%23 Oct →
dust210–13-0.0016%23 Oct →
ancient15–150.0418%23 Oct →
cache13–9-0.0217%23 Oct →
mirage7–13-0.0529%20 Oct →
mirage7–13-0.0433%20 Oct →
mirage13–7-0.0318%20 Oct →
inferno13–11-0.0120%20 Oct →
inferno7–13-0.0522%20 Oct →
dust213–100.0429%20 Oct →
anubis13–90.0132%18 Oct →
ancient13–110.0418%18 Oct →
mirage13–9-0.0714%18 Oct →
dust22–13-0.0533%18 Oct →
inferno13–11-0.0029%18 Oct →
ancient16–130.0118%17 Oct →
anubis13–50.0224%17 Oct →
inferno5–130.0514%17 Oct →
cache14–160.0319%17 Oct →
dust213–90.0521%17 Oct →
mirage13–80.0615%17 Oct →
dust27–13-0.006%17 Oct →
dust213–8-0.0216%17 Oct →
dust219–160.0522%17 Oct →
cache13–20.1011%17 Oct →
dust216–120.017%17 Oct →
nuke11–130.0319%16 Oct →
mirage10–130.0520%16 Oct →
mirage7–13-0.0222%16 Oct →
ancient11–130.0423%16 Oct →
inferno8–13-0.0518%16 Oct →
dust23–13-0.0626%16 Oct →
nuke16–130.0831%13 Oct →
mirage13–40.0728%13 Oct →
ancient13–100.0316%13 Oct →
anubis5–13-0.073%12 Oct →
dust213–10-0.0520%12 Oct →
anubis13–11-0.0214%9 Oct →
inferno12–16-0.0523%9 Oct →
cache9–13-0.0518%9 Oct →
ancient13–30.0522%9 Oct →
ancient10–13-0.0620%9 Oct →
ancient13–20.0420%9 Oct →
mirage7–13-0.0312%5 Oct →
dust213–11-0.0721%5 Oct →
cache10–13-0.0135%5 Oct →
inferno13–20.1021%5 Oct →
nuke15–15-0.0318%5 Oct →
nuke13–5-0.0221%5 Oct →
anubis8–130.0330%5 Oct →
ancient10–130.0333%30 Sept →
ancient8–13-0.0512%30 Sept →
inferno13–50.1429%30 Sept →
dust213–9-0.0014%30 Sept →
dust26–130.0524%25 Sept →
mirage6–130.0731%25 Sept →
nuke11–13-0.0626%11 Sept →
inferno13–60.0615%11 Sept →
cache15–150.0220%11 Sept →
anubis13–80.0314%9 Sept →
nuke13–8-0.0011%9 Sept →
inferno11–13-0.0212%9 Sept →
cache15–15-0.0515%9 Sept →
mirage11–13-0.0214%5 Sept →
ancient11–130.0418%5 Sept →
anubis8–13-0.0029%5 Sept →
cache13–50.1716%6 Aug →
ancient16–130.0517%6 Aug →
inferno13–160.1019%6 Aug →
anubis4–130.0324%6 Aug →
dust213–80.1234%31 Jul →
cache13–110.0922%31 Jul →
inferno5–13-0.0226%31 Jul →
mirage13–110.0320%31 Jul →
nuke7–130.0323%24 Jul →
anubis9–130.0421%24 Jul →
inferno13–110.0333%24 Jul →
ancient13–50.1014%24 Jul →
cache6–13-0.0520%24 Jul →
ancient9–130.0320%22 Jul →
anubis13–90.0521%22 Jul →
cache6–130.0245%22 Jul →
nuke11–13-0.0229%22 Jul →
ancient13–110.0818%22 Jul →
anubis5–130.0126%22 Jul →
anubis2–13-0.0226%16 Jul →
mirage13–60.0824%16 Jul →

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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