Shaky

Shaky — CS2 Stats

CO76561199000374690[U:1:1040108962]Steam profile ↗✓ No bans

2,822Tracked matches83%Win rate2020Tracked since
1,891Hours in CS
CSDB Rating7.7 StrongOpening Duellist
Premier CS Rating27,395Top 5% of 215,558 CSDB-tracked playersRed band · top ~1.9% of ranked players (population est.)
CSDB Leaderboard#5047 of 261688 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Oct 2026 (25 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,822 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 27,395 +2,975 24 Feb – 21 Oct · 16 days played
24,06327,395peak 27,39524 Feb21 Oct
Faceit ELO: 1,989 +0 29 Aug – 21 Oct · 8 observations
1,9891,989peak 1,98929 Aug21 Oct
27,395Peak Premier in tracked matches
1,989Highest Faceit ELO seen on CSDB
30Days played since 2026-02-24

Faceit ELO

  • At peak — 1,989
  • 0 over 30 days · steady
  • Next: Level 10 at 2,001 — 12 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-29
  • Level 8 first seen 2026-08-29

Premier CS Rating

  • At peak — 27,395
  • +749 over 30 days · improving
  • Next: Gold band at 30,000 — 2,605 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-29
  • Pink band first seen 2026-08-29

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.

Compare periods

Last 30 days vs previous 30

No matches recorded between 21 Oct 2026 and 15 Nov 2026.

Measured 21 Oct 2026 → 15 Nov 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Red band among CSDB-tracked players (n=15,144), 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 playerRed band medianGold band medianvs Gold band
Headshot rate62.0%49.3%51.2%above
Shot accuracy9.1%13.3%12.3%3.2% short
Kill/death ratio1.261.121.18above
Match win rate51.5%48.5%52.2%meets

This profile matches the typical Gold band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGShakyPREMIER27,395 · Red band30 DAYS0 ELOPEAK ELO1,989csdb.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

Aim90
Positioning75
Utility32

0–100 skill scores via Leetify.

Recent form

HOT57–37–6Last 10057%Win rateWWWWWWWLWT

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −1.5pp headshot accuracy · +40ms 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

  • 5–0 · 100% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 25%
  • Avg reaction 591ms

Last 10

  • 8–1–1 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 29%
  • Avg reaction 560ms

Last 20

  • 16–3–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 29%
  • Avg reaction 540ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+2.8 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim9.0
Utility3.2
Positioning7.5
Opening Duels7.8
Clutch1.6

Sharp aimerStrong 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

s1mple

Plays most like s1mple 76% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution.

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

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

CT openings. 72% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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

T-side openings. Opening success drops from 72% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.0
Positioning7.5
Utility3.2
Mechanics6.9
Opening Duels6.5
Win Impact10.0

Composite 7.7/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.04
first ⅓ avg -0.00 → last ⅓ avg 0.03
Reaction time547ms−56ms
first ⅓ avg 604ms → last ⅓ avg 547ms
Headshot accuracy29.8%+2.2%
first ⅓ avg 27.6% → last ⅓ avg 29.8%

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

0.19Best match rating · 13–11 · vertigo, 26 Jun →
100%Best headshot accuracy · 0–13 · dust2, 28 May →
406msFastest reaction time · 0–13 · dust2, 28 May →
13–0Biggest win · dust2, 16 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W7Current streak
5–4In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 67% over 6infernoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2S3825–1366%0.02
mirageA3018–1260%0.01
ancientS64–267%0.06
infernoD62–433%0.00
nukeC52–340%-0.00
anubisA53–260%0.04
vertigo—31–233%0.12
cache—32–167%0.03
train—30–30%0.11
overpass—10–10%0.02

Across the last 100 tracked matches.

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

Lifetime stats

94,592Lifetime kills
1.26K/D · Top 25% of Red band
3,869Matches
51.5%Match win rate · Top 50% of Red band
62.0%Headshot % · Top 10% of Red band
9.1%Shot accuracy
12,087MVPs
1,891Hours (in match)
2,683Bombs planted
546Bombs defused

Most-used weapons

AK-4750,124
AWP2,333
FAMAS1,493
MP9890
Knife618

Lifetime map wins

13,506dust2
5,152inferno
1,825vertigo
1,586nuke
916train
525office
340cbble
19italy

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

Faceit stats

Combat

372Matches
55%Win rate
1.14Avg K/D
84.0ADR
54%Headshot %

Clutches & streaks

28%1v1 clutch win
25%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage13055%1.1216.9
Dust25768%1.1316.1
Inferno3152%1.0415.7
Ancient3047%1.1215.9
Anubis1638%0.9615.9
Vertigo743%0.8114.1
Nuke633%0.8815.3
Train2100%1.3716.0

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.

29.7%Headshot accuracy
36.3%Accuracy (enemy spotted)
37.8%Spray accuracy
80.9%Counter-strafing
8.2°Preaim
537msReaction time
41.7%T opening success
72.0%CT opening success
0.54Enemies flashed / flash
8.9%Flash assists
5.27HE damage / grenade
3.15Flashes / 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 3.1515 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–30.1119%25 Sept →
mirage13–5-0.0118%25 Sept →
dust213–70.1126%18 Sept →
dust213–00.1535%16 Sept →
mirage13–50.0226%9 Sept →
dust213–10.1234%8 Sept →
nuke8–3-0.0428%8 Sept →
mirage7–13-0.0134%8 Sept →
anubis13–80.0432%7 Sept →
dust212–12-0.0434%7 Sept →
dust213–9-0.0436%7 Sept →
mirage13–90.1829%7 Sept →
dust26–130.0140%7 Sept →
ancient13–11-0.0122%7 Sept →
inferno7–130.0024%7 Sept →
mirage13–40.0729%7 Sept →
mirage13–3-0.0230%7 Sept →
dust213–100.0325%6 Sept →
anubis13–110.0129%6 Sept →
ancient13–100.1338%6 Sept →
mirage9–130.0130%5 Sept →
dust213–2-0.0439%5 Sept →
mirage13–3-0.0324%5 Sept →
mirage13–50.0031%5 Sept →
mirage13–3-0.0124%5 Sept →
dust213–50.1034%5 Sept →
ancient6–13-0.0119%5 Sept →
dust213–60.0421%5 Sept →
inferno13–10-0.0237%27 Jun →
dust213–40.0150%27 Jun →
mirage11–130.0225%27 Jun →
vertigo12–120.1234%27 Jun →
inferno5–90.0129%27 Jun →
dust213–70.0734%26 Jun →
dust213–100.0331%26 Jun →
vertigo13–110.1923%26 Jun →
anubis13–70.0835%25 Jun →
dust213–100.0635%25 Jun →
mirage7–13-0.0231%25 Jun →
dust213–8-0.0328%25 Jun →
cache13–70.0024%25 Jun →
mirage13–60.0339%24 Jun →
mirage13–30.0433%24 Jun →
train1–130.0731%24 Jun →
dust211–130.0347%24 Jun →
mirage8–130.0135%24 Jun →
dust213–90.0438%23 Jun →
anubis10–130.0733%23 Jun →
dust210–130.0823%23 Jun →
mirage2–13-0.0629%23 Jun →
dust213–110.0822%22 Jun →
nuke5–130.0323%22 Jun →
ancient9–130.0527%22 Jun →
mirage13–80.1129%21 Jun →
train4–130.1227%21 Jun →
dust213–90.0823%21 Jun →
overpass9–130.0224%20 Jun →
ancient13–110.0618%20 Jun →
mirage13–70.0425%19 Jun →
dust212–120.0827%18 Jun →
vertigo1–70.0418%31 May →
mirage2–13-0.0521%30 May →
dust213–40.0532%30 May →
mirage13–70.0613%30 May →
mirage13–30.0429%30 May →
mirage10–13-0.0520%30 May →
dust213–50.0526%30 May →
dust214–16-0.0219%30 May →
nuke13–16-0.0520%30 May →
dust29–13-0.0219%29 May →
mirage13–6-0.0317%28 May →
dust20–13-0.11100%28 May →
dust213–20.0833%28 May →
mirage13–60.0118%28 May →
dust213–8-0.0231%28 May →
cache12–120.0129%28 May →
mirage12–120.0732%27 May →
dust24–13-0.0322%27 May →
inferno12–16-0.0227%27 May →
mirage13–5-0.0531%27 May →
dust210–130.0132%27 May →
mirage5–13-0.0124%27 May →
ancient13–90.1225%27 May →
train8–130.1429%27 May →
dust213–20.0436%27 May →
dust29–13-0.0527%26 May →
nuke13–80.0830%25 May →
dust213–6-0.0127%25 May →
mirage0–4-0.140%25 May →
cache13–60.0822%24 May →
dust213–9-0.0218%24 May →
nuke12–12-0.0334%24 May →
mirage9–130.0227%25 Mar →
anubis6–13-0.0225%14 Mar →
dust211–13-0.0328%10 Mar →
dust27–13-0.0727%10 Mar →
inferno13–20.0623%24 Feb →
dust213–10-0.0234%24 Feb →
mirage13–7-0.0817%24 Feb →
inferno10–13-0.0130%24 Feb →

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.