shake.

shake. — CS2 Stats

DE76561197979456533[U:1:19190805]Steam profile ↗✓ No bans

7,822Tracked matches76%Win rate2020Tracked since
7,380Hours in CS
CSDB Rating6.3 SolidPositional Player
Premier CS Rating17,913Purple band · top ~16.8% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 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: 17,913 +8,534 1 Sept – 1 Nov · 21 days played
9,37918,831peak 18,8311 Sept1 Nov
18,831Peak Premier in tracked matches
18Days played since 2026-09-01

Premier CS Rating

  • 918 below peak (18,831)
  • +5,055 over 30 days · improving
  • Next: Pink band at 20,000 — 2,087 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-26
  • Light Blue band first seen 2026-09-01

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 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate38.4%44.8%45.7%7.3% short
Shot accuracy14.1%12.4%12.7%above
Kill/death ratio0.901.031.050.15 short
Match win rate44.1%45.2%45.7%1.6% short

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGshake.FACEITLevel 6STANDINGTop 54.0% of rankedPREMIER17,913 · 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

Aim63
Positioning66
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY60–38–2Last 10060%Win rateLLWWWWWWWW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −0.8pp headshot accuracy · −45ms reaction

Win rate −10pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 578ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 560ms

Last 20

  • 17–3 · 85% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 583ms

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 (+1.5 against its own average).

Aim6.3
Utility4.3
Positioning6.6
Opening Duels5.8
Clutch3.6

Limited 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

s1mple

Plays most like s1mple 85% 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

Reaction time. 569ms 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

Aim6.3
Positioning6.6
Utility4.3
Mechanics5.5
Opening Duels6.1
Win Impact10.0

Composite 6.3/10 (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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time571ms+8ms
first ⅓ avg 563ms → last ⅓ avg 571ms
Headshot accuracy15.9%−0.9%
first ⅓ avg 16.8% → last ⅓ avg 15.9%

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, 8 Oct →
38%Best headshot accuracy · 13–10 · cache, 16 Oct →
391msFastest reaction time · 13–6 · inferno, 9 Oct →
13–1Biggest win · dust2, 23 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L2Current streak
8–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 86% over 7infernoWeakest map · 54% over 24
MapGradePlayedRecordWin rateAvg rating
dust2A2916–1355%0.01
infernoB2413–1154%0.01
cacheS1812–667%0.01
mirageA95–456%-0.01
ancientS76–186%0.01
nukeA74–357%-0.02
anubisS64–267%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (54% over 24). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

275,502Lifetime kills
0.90K/D
16,353Matches
44.1%Match win rate
38.4%Headshot %
14.1%Shot accuracy · Top 50% of Level 6 players
29,578MVPs
7,380Hours (in match)
25,499Bombs planted
4,117Bombs defused

Most-used weapons

AK-4781,253
P9018,732
MP717,153
Glock-1811,864
AWP11,141
FAMAS7,698

Lifetime map wins

98,876dust2
21,341inferno
9,553nuke
1,688vertigo
1,222train
845cbble
295office
142lake

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

Faceit stats

Combat

404Matches
51%Win rate
0.91Avg K/D
66.9ADR
38%Headshot %

Clutches & streaks

38%1v1 clutch win
14%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno6551%0.8312.3
Dust24961%0.9113.2
Anubis4654%0.9612.3
Ancient4344%0.9212.7
Mirage1450%0.7211.4
Nuke1127%0.7511.2
Overpass956%0.7311.2
Vertigo560%0.7713.2

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.

15.7%Headshot accuracy
35.6%Accuracy (enemy spotted)
34.1%Spray accuracy
74.6%Counter-strafing
10.3°Preaim
569msReaction time
59.8%T opening success
49.3%CT opening success
0.68Enemies flashed / flash
2.4%Flash assists
10.29HE damage / grenade
3.90Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.8979 — below the 4 mark we flag

    Grenade Lineups →

Recent matches

MapScoreRatingHS%Date
anubis10–13-0.0017%1 Nov →
dust28–13-0.0010%1 Nov →
ancient13–90.0210%31 Oct →
dust213–9-0.0119%31 Oct →
cache16–120.0113%31 Oct →
inferno13–90.0415%31 Oct →
dust213–9-0.0511%31 Oct →
inferno13–50.0620%31 Oct →
dust213–90.0214%30 Oct →
inferno13–4-0.0316%30 Oct →
cache10–13-0.0313%30 Oct →
cache13–100.0227%30 Oct →
nuke13–6-0.004%30 Oct →
dust213–50.0013%30 Oct →
dust213–50.0817%30 Oct →
cache13–30.0417%30 Oct →
mirage16–130.0714%30 Oct →
cache13–30.0225%30 Oct →
inferno13–8-0.0411%28 Oct →
cache13–9-0.0111%28 Oct →
dust23–13-0.0425%28 Oct →
cache6–13-0.0220%28 Oct →
inferno13–30.0523%28 Oct →
ancient13–60.0114%27 Oct →
cache13–11-0.0218%27 Oct →
dust215–15-0.0519%24 Oct →
inferno11–130.0422%24 Oct →
ancient9–13-0.059%24 Oct →
ancient13–80.0715%23 Oct →
dust213–10.0616%23 Oct →
dust213–90.0618%23 Oct →
inferno11–130.0116%23 Oct →
inferno11–130.0814%20 Oct →
nuke2–13-0.0910%16 Oct →
inferno14–160.0413%16 Oct →
cache13–11-0.0127%16 Oct →
dust216–130.0127%16 Oct →
dust29–130.0125%16 Oct →
dust24–130.0120%16 Oct →
cache13–100.0038%16 Oct →
mirage13–9-0.0120%16 Oct →
cache13–30.0416%16 Oct →
anubis13–50.1422%15 Oct →
anubis13–50.0312%15 Oct →
inferno5–13-0.0519%12 Oct →
inferno13–11-0.0113%12 Oct →
dust213–9-0.0113%12 Oct →
cache10–13-0.0120%12 Oct →
inferno15–15-0.049%12 Oct →
nuke13–20.0525%12 Oct →
dust210–130.0125%12 Oct →
cache7–13-0.0128%12 Oct →
inferno5–130.0114%11 Oct →
mirage6–130.0317%11 Oct →
dust29–130.049%11 Oct →
dust28–13-0.0415%11 Oct →
dust210–13-0.0126%11 Oct →
inferno13–2-0.019%11 Oct →
dust213–90.0419%11 Oct →
inferno5–13-0.0620%11 Oct →
inferno10–130.0128%11 Oct →
dust213–160.0723%11 Oct →
cache9–130.0327%11 Oct →
cache13–100.018%11 Oct →
inferno5–0-0.040%10 Oct →
nuke13–70.0418%10 Oct →
anubis13–50.0317%10 Oct →
mirage16–130.0716%9 Oct →
ancient13–90.0021%9 Oct →
inferno13–60.0214%9 Oct →
nuke11–13-0.0321%9 Oct →
nuke8–13-0.059%9 Oct →
dust213–110.0121%8 Oct →
dust213–2-0.0411%8 Oct →
mirage13–100.0019%8 Oct →
cache13–50.1712%8 Oct →
dust213–60.0320%8 Oct →
anubis16–130.0514%8 Oct →
nuke13–11-0.0613%7 Oct →
inferno13–11-0.0414%7 Oct →
mirage4–13-0.1019%7 Oct →
ancient13–80.0215%7 Oct →
dust216–140.0111%7 Oct →
mirage10–13-0.0223%7 Oct →
anubis3–130.0021%7 Oct →
cache13–6-0.0215%7 Oct →
ancient13–10-0.0117%7 Oct →
dust27–130.0024%7 Oct →
inferno5–13-0.0018%6 Oct →
inferno13–110.0313%6 Oct →
dust28–13-0.0213%6 Oct →
mirage13–10-0.0522%5 Oct →
dust26–13-0.0118%5 Oct →
cache9–130.0117%5 Oct →
inferno11–130.0021%5 Oct →
inferno13–50.0314%5 Oct →
mirage11–13-0.0614%5 Oct →
dust213–40.0125%5 Oct →
dust213–90.0119%5 Oct →
inferno13–80.0112%5 Oct →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.