Clang — CS2 Stats

76561198053433749[U:1:93168021]

3,138Tracked matches48%Win rate2020Tracked since
6,727Hours in CS70Hrs last 2 wks
CSDB Rating6.9 SolidPositional Player
Premier CS Rating21,155Top 50% of 204,097 CSDB-tracked playersPink band · top ~7.2% of ranked players (population est.)
CSDB Leaderboard#65231 of 251201 tracked
FaceitLevel 9 · 1,624 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (17 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: 21,155 -1,450 2 Sept – 24 Sept · 7 days played
20,83022,605peak 22,6052 Sept24 Sept
22,917Peak Premier in tracked matches
1,624Highest Faceit ELO seen on CSDB
15Days played since 2026-09-02

Faceit ELO

  • At peak — 1,624
  • Next: Level 9 at 1,751 — 127 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-02
  • Level 7 first seen 2026-09-02

Premier CS Rating

  • 1,450 below peak (22,605)
  • Next: Red band at 25,000 — 3,845 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-02
  • Purple band first seen 2026-09-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. 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=14,332), 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 rate66.9%48.2%50.9%above
Shot accuracy8.3%13.3%13.7%5.4% short
Kill/death ratio1.221.071.09above
Match win rate45.4%46.9%48.4%3.0% short

This profile matches the typical Level 10 player on 2 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.GGClangFACEITLevel 9 · 1,624 ELOSTANDINGTop 20.7% of rankedPREMIER21,155 · Pink bandPEAK ELO1,624csdb.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
Positioning71
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY45–52–3Last 10045%Win rateLWWWTWLLLW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +1.4pp headshot accuracy · +28ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 24%
  • Avg reaction 556ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 27%
  • Avg reaction 577ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 27%
  • Avg reaction 563ms

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
Utility5.6
Positioning7.1
Opening Duels4.0
Clutch4.2

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

iM

Plays most like iM 91% playstyle similarity

Most alike: positioning profile, 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

Strengths

T openings. 67% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 67% on T to 48% on CT — first contacts on the defending side are being lost.

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
Positioning7.1
Utility5.6
Mechanics6.2
Opening Duels6.9
Win Impact4.4

Composite 6.9/10 (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 rating0.02+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time530ms−19ms
first ⅓ avg 549ms → last ⅓ avg 530ms
Headshot accuracy25.1%−1.9%
first ⅓ avg 27.1% → last ⅓ avg 25.1%

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 · 13–10 · dust2, 17 Sept →
50%Best headshot accuracy · 5–13 · dust2, 4 Oct →
63msFastest reaction time · 0–4 · dust2, 29 Sept →
13–2Biggest win · nuke, 5 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–11In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 60% over 10nukeWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageC2912–1741%0.00
dust2C187–1139%-0.00
infernoA116–555%-0.00
cacheA106–460%0.03
ancientA106–460%-0.00
nukeD93–633%0.04
anubisA74–357%0.02
vertigo—31–233%0.05
train—20–20%-0.00
office—10–10%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

198,256Lifetime kills
1.22K/D · Top 25% of Level 9 players
6,020Matches
45.4%Match win rate
66.9%Headshot % · Top 5% of Level 9 players
8.3%Shot accuracy
15,795MVPs
7,426Hours (in match)
5,003Bombs planted
1,668Bombs defused

Most-used weapons

AK-47118,163
AWP13,606
P2502,323
SG 5531,768
FAMAS1,643

Lifetime map wins

18,314dust2
7,760inferno
5,447nuke
1,413train
907vertigo
525cbble
233office
125dust

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

Faceit stats

Combat

406Matches
53%Win rate
1.05Avg K/D
84.1ADR
58%Headshot %

Clutches & streaks

41%1v1 clutch win
23%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage14753%1.0417.1
Dust26648%1.0317.3
Ancient6346%1.0416.8
Inferno3743%1.0016.2
Anubis3155%1.0016.3
Nuke2976%1.1417.9
Cache967%0.9716.3
Overpass743%0.9215.3

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.

24.5%Headshot accuracy
34.7%Accuracy (enemy spotted)
37.0%Spray accuracy
77.8%Counter-strafing
8.6°Preaim
540msReaction time
66.8%T opening success
48.1%CT opening success
0.65Enemies flashed / flash
10.3%Flash assists
11.87HE damage / grenade
5.29Flashes / match

Recommended for you

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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.0124%8 Oct →
mirage13–30.1122%8 Oct →
dust213–110.0625%8 Oct →
cache13–110.0319%8 Oct →
nuke12–120.1030%7 Oct →
cache13–40.0939%7 Oct →
mirage3–13-0.0836%7 Oct →
dust29–130.0625%7 Oct →
mirage11–13-0.0129%7 Oct →
ancient13–10-0.0126%7 Oct →
vertigo13–110.0528%6 Oct →
dust213–70.0341%6 Oct →
inferno7–13-0.0410%6 Oct →
cache9–130.1334%6 Oct →
dust211–13-0.0921%6 Oct →
mirage16–140.0218%6 Oct →
nuke13–70.0040%6 Oct →
ancient13–90.0225%6 Oct →
mirage8–13-0.0021%6 Oct →
inferno4–13-0.0321%5 Oct →
ancient11–130.0520%5 Oct →
mirage4–130.0219%5 Oct →
office5–13-0.0229%5 Oct →
nuke13–20.1023%5 Oct →
mirage13–40.0530%5 Oct →
inferno13–30.0727%5 Oct →
dust27–130.0127%5 Oct →
cache16–13-0.0117%5 Oct →
ancient8–13-0.0512%5 Oct →
mirage12–16-0.0515%4 Oct →
inferno11–13-0.0237%4 Oct →
mirage16–130.0216%4 Oct →
mirage8–130.0227%4 Oct →
nuke11–50.0129%4 Oct →
dust25–13-0.0150%4 Oct →
inferno13–80.0633%4 Oct →
vertigo9–130.0823%4 Oct →
dust211–130.0027%4 Oct →
cache11–13-0.0616%3 Oct →
mirage5–130.0323%3 Oct →
mirage13–10-0.0216%3 Oct →
anubis13–70.0432%3 Oct →
nuke6–130.0532%3 Oct →
anubis8–130.0233%3 Oct →
inferno13–11-0.0223%3 Oct →
train3–130.0118%3 Oct →
mirage16–19-0.0015%3 Oct →
anubis13–90.0224%29 Sept →
mirage13–9-0.0117%29 Sept →
dust20–4-0.120%29 Sept →
inferno13–100.0627%29 Sept →
mirage6–13-0.0117%29 Sept →
ancient13–9-0.0124%29 Sept →
dust213–50.0524%25 Sept →
mirage13–7-0.029%25 Sept →
cache11–130.0120%25 Sept →
mirage13–60.0229%24 Sept →
dust213–4-0.0122%24 Sept →
nuke9–130.0125%24 Sept →
mirage13–80.0130%24 Sept →
nuke7–130.0221%24 Sept →
inferno13–7-0.0828%23 Sept →
inferno13–60.0425%23 Sept →
anubis7–130.0112%23 Sept →
mirage5–130.0222%23 Sept →
vertigo6–130.0330%23 Sept →
anubis8–130.0449%23 Sept →
mirage11–13-0.0122%23 Sept →
ancient9–13-0.0135%23 Sept →
ancient13–9-0.0327%23 Sept →
dust210–130.0130%22 Sept →
nuke9–13-0.0332%22 Sept →
dust23–13-0.0625%22 Sept →
nuke5–130.1249%22 Sept →
mirage10–130.0630%22 Sept →
anubis13–8-0.0224%22 Sept →
mirage11–13-0.0125%22 Sept →
cache13–40.0238%22 Sept →
mirage13–60.0229%22 Sept →
mirage8–13-0.0622%21 Sept →
dust20–13-0.0644%21 Sept →
dust20–13-0.0816%21 Sept →
dust213–11-0.0518%21 Sept →
mirage10–13-0.0619%21 Sept →
anubis13–50.0429%21 Sept →
dust213–80.0038%21 Sept →
mirage13–90.0222%21 Sept →
cache13–70.0940%21 Sept →
dust215–150.0433%21 Sept →
cache13–160.0120%21 Sept →
train3–13-0.0127%17 Sept →
ancient12–120.0426%17 Sept →
dust213–100.1536%17 Sept →
inferno11–13-0.0518%13 Sept →
cache13–6-0.0418%13 Sept →
mirage13–7-0.0510%12 Sept →
ancient13–5-0.0023%12 Sept →
mirage14–16-0.0127%12 Sept →
mirage3–130.0129%12 Sept →
ancient13–11-0.0313%12 Sept →

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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