Decoy

Decoy — CS2 Stats

76561198120122897[U:1:159857169]Steam profile ↗✓ No bans

811Tracked matches47%Win rate2020Tracked since
8,515Hours in CS3Hrs last 2 wks
CSDB Rating7.3 StrongPositional Player
Premier CS Rating25,793Top 10% of 212,379 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)
CSDB Leaderboard#14835 of 259360 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Oct 2026 (25 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: 25,793 +3,299 16 Aug – 7 Oct · 19 days played
22,49426,793peak 26,79316 Aug7 Oct
27,097Peak Premier in tracked matches
48Days played since 2026-01-31

Premier CS Rating

  • 1,000 below peak (26,793)
  • +1,651 over 30 days · improving
  • Next: Gold band at 30,000 — 4,207 to go
  • Reached: Red band · Pink band · Purple band · 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 9 among CSDB-tracked players (n=15,132), 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 rate39.2%48.2%50.9%11.7% short
Shot accuracy20.8%13.2%13.7%above
Kill/death ratio1.201.071.09above
Match win rate55.0%46.9%48.4%above

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. 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.GGDecoyFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER25,793 · Red 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

Aim77
Positioning79
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY54–38–8Last 10054%Win rateWWLLLLLWWL

Last 10 vs previous 10: −10pp win rate · −0.06 avg rating · −2.8pp headshot accuracy · +24ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 613ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 555ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 543ms

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 (+1.8 against its own average).

Aim7.7
Utility5.8
Positioning7.9
Opening Duels6.4
Clutch4.2

Strong CT-side opener

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 80% 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

Strengths

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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

Aim7.7
Positioning7.9
Utility5.8
Mechanics6.9
Opening Duels7.2
Win Impact3.9

Composite 7.3/10 (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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time552ms−76ms
first ⅓ avg 628ms → last ⅓ avg 552ms
Headshot accuracy17.4%−5.7%
first ⅓ avg 23.1% → last ⅓ avg 17.4%

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

0.26Best match rating · 9–1 · inferno, 24 Sept →
42%Best headshot accuracy · 7–9 · poseidon, 4 Jul →
406msFastest reaction time · 7–13 · inferno, 2 Oct →
13–1Biggest win · inferno, 9 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
4–7In matches decided by ≤2 rounds
4Overtime games

Map breakdown

poseidonBest map · 71% over 7vertigoWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
infernoB4320–2347%0.03
ancientA127–558%-0.00
nukeA116–555%-0.01
cacheA85–363%0.01
anubisA74–357%0.02
vertigoC73–443%-0.01
poseidonS75–271%0.06
dust2—32–167%0.01
mirage—11–0100%-0.08
overpass—11–0100%0.05

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

193,212Lifetime kills
1.20K/D · Top 25% of Level 9 players
7,623Matches
55.0%Match win rate · Top 10% of Level 9 players
39.2%Headshot %
20.8%Shot accuracy · Top 5% of Level 9 players
24,149MVPs
6,413Hours (in match)
10,810Bombs planted
2,182Bombs defused

Most-used weapons

AK-4764,671
AWP28,593
SG 5534,544
Tec-94,078
P2503,619

Lifetime map wins

34,380inferno
9,336train
8,279cbble
7,085dust2
4,883vertigo
4,316nuke
152lake
105stmarc

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

Faceit stats

Combat

1,383Matches
53%Win rate
1.18Avg K/D
60.9ADR
39%Headshot %

Clutches & streaks

41%1v1 clutch win
19%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient1963%0.6810.5
Cache1070%0.8012.1
Inferno1050%0.8411.3
Dust2475%0.9014.5
Mirage250%1.4225.5
Nuke2100%1.2312.0

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.

16.5%Headshot accuracy
36.0%Accuracy (enemy spotted)
39.4%Spray accuracy
81.1%Counter-strafing
9.3°Preaim
547msReaction time
54.1%T opening success
63.5%CT opening success
0.54Enemies flashed / flash
8.8%Flash assists
10.37HE damage / grenade
7.65Flashes / match

Recommended for you

Spend your practice time on Vertigo

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–40.2416%11 Oct →
ancient13–9-0.049%10 Oct →
anubis7–13-0.008%7 Oct →
inferno0–13-0.0918%7 Oct →
anubis7–13-0.0421%7 Oct →
inferno6–13-0.0312%7 Oct →
ancient8–13-0.0514%4 Oct →
dust213–110.0224%4 Oct →
mirage13–10-0.0824%3 Oct →
inferno7–13-0.0811%2 Oct →
inferno13–9-0.0414%30 Sept →
cache3–130.0017%29 Sept →
inferno4–130.0222%27 Sept →
inferno9–13-0.0118%27 Sept →
inferno4–130.0223%27 Sept →
inferno13–40.0212%25 Sept →
inferno9–10.2632%24 Sept →
nuke16–140.0813%23 Sept →
inferno13–90.0913%21 Sept →
nuke14–160.0320%21 Sept →
ancient13–8-0.0318%20 Sept →
ancient16–120.0217%19 Sept →
anubis13–50.1015%19 Sept →
ancient11–13-0.0521%16 Sept →
inferno9–30.1717%13 Sept →
anubis13–110.057%12 Sept →
ancient7–130.0418%12 Sept →
inferno13–50.0322%12 Sept →
cache13–70.0117%9 Sept →
cache13–40.0021%9 Sept →
inferno5–9-0.0129%8 Sept →
ancient11–13-0.0112%7 Sept →
dust22–13-0.0420%7 Sept →
anubis8–130.0519%7 Sept →
inferno13–70.0421%6 Sept →
inferno7–130.0527%6 Sept →
inferno5–130.0213%6 Sept →
cache6–13-0.0016%6 Sept →
anubis9–1-0.0318%6 Sept →
inferno13–90.0230%4 Sept →
cache13–50.0111%4 Sept →
cache9–13-0.0217%4 Sept →
nuke13–40.0221%3 Sept →
ancient16–120.0513%3 Sept →
inferno13–60.0713%30 Aug →
vertigo9–40.1428%30 Aug →
inferno13–3-0.0129%19 Aug →
inferno2–13-0.1025%16 Aug →
ancient13–90.0526%16 Aug →
inferno8–130.0423%14 Aug →
anubis13–110.0015%14 Aug →
ancient7–13-0.0312%14 Aug →
ancient13–10-0.0115%14 Aug →
inferno7–90.0714%11 Aug →
inferno5–9-0.0124%10 Aug →
inferno13–10.1318%9 Aug →
dust213–20.0613%9 Aug →
inferno10–13-0.0518%8 Aug →
cache13–70.056%8 Aug →
inferno9–130.0110%5 Aug →
cache13–80.0318%5 Aug →
inferno13–100.0124%5 Aug →
ancient13–30.0423%3 Aug →
inferno6–9-0.1018%1 Aug →
inferno6–9-0.0216%1 Aug →
poseidon2–9-0.0718%1 Aug →
nuke9–40.1911%30 Jul →
inferno9–10.2116%30 Jul →
nuke0–9-0.1730%30 Jul →
poseidon9–60.0525%4 Jul →
inferno9–4-0.0112%4 Jul →
poseidon9–30.0133%4 Jul →
inferno8–8-0.0528%4 Jul →
inferno8–8-0.0319%4 Jul →
inferno9–20.1318%4 Jul →
nuke8–8-0.097%4 Jul →
poseidon7–90.0542%4 Jul →
nuke9–4-0.0614%4 Jul →
inferno7–9-0.1116%4 Jul →
nuke8–8-0.0911%29 May →
poseidon9–00.1829%19 May →
vertigo8–80.0118%15 May →
poseidon9–50.0539%15 May →
poseidon9–40.1441%10 May →
inferno8–80.0529%10 May →
inferno9–10.138%9 May →
vertigo4–9-0.1622%9 May →
inferno6–9-0.0818%9 May →
vertigo9–5-0.1127%6 May →
inferno9–4-0.1029%23 Apr →
vertigo9–20.0517%23 Apr →
nuke13–1-0.0414%11 Apr →
overpass13–20.0515%11 Apr →
vertigo8–80.003%6 Apr →
inferno9–30.0537%6 Apr →
nuke7–90.0117%6 Apr →
inferno8–80.0537%9 Feb →
vertigo5–9-0.0221%9 Feb →
nuke9–40.0535%31 Jan →
inferno9–00.1435%31 Jan →

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 →

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