Decoy — CS2 Stats

SE76561197988645123[U:1:28379395]Steam profile ↗✓ No bans

1,570Tracked matches39%Win rate2020Tracked since

CSDB Rating4.6 Developing

Premier CS Rating23,078Top 50% of 29,473 CSDB-tracked playersPink band · top ~5.1% of ranked players (population est.)

CSDB Leaderboard#11779 of 55464 tracked

FaceitLevel 7 · 1,447 ELOTop 42.3% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim59

Positioning44

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY45–47–8Last 10045%Win rateWLLWTLLWWL

Last 10 vs previous 10: +0pp win rate · -0.04 avg rating

Player DNA

Aim5.9

Aggression7.5

Utility5.6

Positioning4.4

Opening Duels2.4

Clutch2.2

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like b1t 86% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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. 647ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.9

Positioning4.4

Utility5.6

Mechanics4.1

Opening Duels2.4

Win Impact1.4

Composite 4.6/10 (Developing), 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 rating-0.01−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time647ms+19ms

first ⅓ avg 627ms → last ⅓ avg 647ms

Headshot accuracy18.5%+0.7%

first ⅓ avg 17.8% → last ⅓ avg 18.5%

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.

Highlights

0.28Best rating — inferno 9–0

13–1Biggest win — ancient

6Longest win streak

5–9In matches decided by ≤2 rounds

12Overtime games

Map breakdown

infernoBest map · 57% over 23nukeWeakest map · 11% over 9

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	23	13–10	57%	0.02
dust2	B	17	8–9	47%	-0.02
cache	C	17	7–10	41%	-0.01
nuke	D	9	1–8	11%	-0.02
anubis	D	8	2–6	25%	-0.01
ancient	A	7	4–3	57%	0.00
debris	—	3	1–2	33%	-0.10
overpass	—	3	0–3	0%	-0.02
poseidon	—	3	2–1	67%	0.04
office	—	3	1–2	33%	0.04
mirage	—	2	1–1	50%	-0.02
vertigo	—	2	2–0	100%	0.03
stronghold	—	2	2–0	100%	-0.08
eldorado	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

465Matches

49%Win rate

0.80Avg K/D

73.0ADR

37%Headshot %

Clutches & streaks

31%1v1 clutch win

19%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	63	46%	0.80	12.9
Ancient	49	53%	0.82	13.0
Nuke	36	56%	0.84	13.8
Dust2	36	53%	0.79	12.7
Anubis	27	52%	0.80	13.0
Mirage	20	25%	0.78	13.3
Vertigo	11	45%	0.64	11.4
Overpass	2	100%	0.72	10.0

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.

18.0%Headshot accuracy

36.3%Accuracy (enemy spotted)

39.1%Spray accuracy

68.5%Counter-strafing

9.9°Preaim

647msReaction time

32.4%T opening success

46.8%CT opening success

0.46Enemies flashed / flash

8.1%Flash assists

10.05HE damage / grenade

8.68Flashes / 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.

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 0.4572 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 32.3662% — below the 40% mark we flag

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.

11% 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

Map	Score	Rating	HS%	Date
eldorado	9–3	0.02	29%	16 Aug →
debris	0–9	-0.25	10%	16 Aug →
inferno	4–13	-0.01	5%	14 Aug →
dust2	13–6	-0.02	12%	14 Aug →
inferno	8–8	0.01	29%	14 Aug →
inferno	13–16	-0.02	16%	14 Aug →
cache	8–13	0.05	26%	14 Aug →
debris	9–3	-0.00	19%	7 Aug →
inferno	9–7	0.09	11%	7 Aug →
mirage	7–13	-0.03	10%	5 Aug →
cache	13–8	-0.01	17%	5 Aug →
inferno	9–3	0.16	25%	5 Aug →
nuke	6–13	-0.02	24%	4 Aug →
dust2	13–16	0.05	18%	4 Aug →
cache	15–15	-0.01	21%	3 Aug →
inferno	13–3	0.04	11%	3 Aug →
ancient	10–13	0.01	18%	3 Aug →
anubis	9–13	-0.02	15%	1 Aug →
anubis	7–13	-0.05	17%	1 Aug →
vertigo	13–6	0.02	17%	1 Aug →
cache	13–3	-0.02	13%	31 Jul →
dust2	8–13	-0.07	21%	31 Jul →
anubis	13–10	0.04	9%	30 Jul →
cache	9–13	-0.09	8%	30 Jul →
dust2	9–13	-0.07	15%	30 Jul →
inferno	13–2	-0.03	0%	30 Jul →
dust2	12–16	-0.01	38%	30 Jul →
nuke	11–13	-0.02	38%	22 Jul →
inferno	4–9	-0.02	30%	22 Jul →
overpass	20–22	-0.02	15%	20 Jul →
anubis	15–15	0.02	31%	19 Jul →
inferno	13–6	0.05	25%	19 Jul →
nuke	6–13	0.00	19%	19 Jul →
ancient	7–13	-0.05	11%	19 Jul →
inferno	13–7	0.01	7%	19 Jul →
cache	13–11	0.03	20%	19 Jul →
inferno	13–9	0.11	24%	15 Jul →
nuke	13–5	0.01	13%	15 Jul →
inferno	3–13	-0.06	22%	15 Jul →
debris	3–9	-0.05	28%	15 Jul →
ancient	13–10	0.01	10%	14 Jul →
dust2	11–13	-0.07	17%	14 Jul →
cache	16–14	-0.05	8%	11 Jul →
ancient	13–1	0.02	12%	11 Jul →
dust2	13–9	0.02	16%	11 Jul →
nuke	11–13	-0.06	10%	11 Jul →
cache	13–2	-0.04	15%	11 Jul →
inferno	13–10	0.05	13%	11 Jul →
nuke	3–13	-0.03	17%	28 Jun →
anubis	11–13	0.03	18%	28 Jun →
dust2	8–13	-0.03	3%	26 Jun →
mirage	13–6	-0.02	13%	26 Jun →
dust2	8–13	-0.02	18%	20 Jun →
inferno	15–15	0.02	21%	20 Jun →
cache	11–13	-0.02	18%	19 Jun →
dust2	13–9	-0.06	10%	18 Jun →
anubis	15–15	0.01	9%	18 Jun →
ancient	11–13	-0.05	12%	18 Jun →
dust2	4–13	-0.04	22%	18 Jun →
overpass	6–13	0.02	30%	18 Jun →
dust2	7–13	-0.03	31%	18 Jun →
poseidon	9–6	-0.02	18%	18 Jun →
anubis	9–13	-0.06	14%	17 Jun →
dust2	13–8	0.07	17%	13 Jun →
nuke	12–12	-0.02	17%	10 Jun →
inferno	5–13	-0.03	12%	10 Jun →
anubis	13–4	-0.01	12%	30 May →
dust2	13–9	-0.03	23%	23 May →
inferno	8–13	-0.05	15%	23 May →
inferno	9–0	0.28	39%	23 May →
cache	13–11	-0.03	14%	16 May →
office	11–13	0.01	10%	16 May →
cache	12–12	-0.04	16%	16 May →
office	13–7	0.06	24%	16 May →
inferno	4–9	-0.10	28%	16 May →
poseidon	4–9	-0.01	8%	10 May →
inferno	4–9	0.04	40%	10 May →
cache	8–13	0.02	16%	10 May →
cache	6–13	0.03	21%	10 May →
cache	12–12	0.02	11%	1 May →
cache	3–13	-0.08	30%	1 May →
cache	3–13	-0.07	19%	1 May →
cache	13–9	0.07	21%	1 May →
stronghold	13–6	-0.04	10%	1 May →
inferno	9–6	-0.07	23%	23 Apr →
dust2	16–14	0.00	10%	23 Apr →
ancient	13–1	0.10	16%	23 Apr →
poseidon	9–1	0.15	13%	23 Apr →
nuke	2–13	-0.09	10%	19 Apr →
overpass	8–13	-0.07	17%	19 Apr →
inferno	16–13	-0.02	10%	19 Apr →
dust2	13–10	0.01	26%	17 Apr →
inferno	13–5	-0.01	17%	17 Apr →
ancient	13–6	-0.00	13%	17 Apr →
dust2	13–10	-0.01	29%	12 Apr →
inferno	19–16	-0.03	8%	12 Apr →
nuke	11–13	0.01	16%	12 Apr →
vertigo	13–7	0.04	16%	11 Apr →
stronghold	4–0	-0.11	0%	11 Apr →
office	5–13	0.06	20%	10 Apr →