「Decoy」 — CS2 Stats

EE76561197988992933[U:1:28727205]Steam profile ↗✓ No bans

678Tracked matches48%Win rate2020Tracked since

CSDB Rating5.3 DevelopingHybrid Rifler

Premier CS Rating23,356Top 50% of 17,162 CSDB-tracked playersPink band · top ~4.8% of ranked players (population est.)

CSDB Leaderboard#5420 of 23394 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim61

Positioning45

Utility54

0–100 skill scores via Leetify.

Recent form

HOT48–46–6Last 10048%Win rateWWLWWLWWWL

Last 10 vs previous 10: +20pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.1

Aggression5.0

Utility5.4

Positioning4.5

Opening Duels1.2

Clutch1.2

Strong 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.

Your pro match

Plays most like NiKo 87% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

T-side openings. Opening success drops from 44% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 583ms 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

Aim6.1

Positioning4.5

Utility5.4

Mechanics6.6

Opening Duels1.8

Win Impact4.4

Composite 5.3/10 (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-0.03−0.05

first ⅓ avg 0.02 → last ⅓ avg -0.03

Reaction time581ms−45ms

first ⅓ avg 625ms → last ⅓ avg 581ms

Headshot accuracy18.2%+1.5%

first ⅓ avg 16.7% → last ⅓ avg 18.2%

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

0.14Best rating — inferno 13–5

13–2Biggest win — dust2

4Longest win streak

W2Current streak

7–3In matches decided by ≤2 rounds

10Overtime games

Map breakdown

dust2Best map · 67% over 9ancientWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	22	6–16	27%	-0.01
anubis	B	17	9–8	53%	0.00
cache	C	17	7–10	41%	-0.03
nuke	A	15	9–6	60%	-0.01
dust2	S	9	6–3	67%	-0.02
inferno	A	7	4–3	57%	0.01
overpass	S	6	4–2	67%	0.04
ancient	D	5	1–4	20%	-0.03
vertigo	—	2	2–0	100%	0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

227Matches

55%Win rate

1.09Avg K/D

70.7ADR

38%Headshot %

Clutches & streaks

26%1v1 clutch win

17%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	30	37%	0.96	14.6
Dust2	27	52%	0.91	13.9
Nuke	25	60%	1.16	15.4
Mirage	16	56%	0.97	15.5
Inferno	15	80%	0.96	14.1
Ancient	9	33%	0.76	13.8
Vertigo	3	67%	0.93	15.0
Cache	2	100%	0.90	12.0

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.

17.8%Headshot accuracy

30.5%Accuracy (enemy spotted)

34.1%Spray accuracy

79.6%Counter-strafing

9.9°Preaim

583msReaction time

25.1%T opening success

44.2%CT opening success

0.61Enemies flashed / flash

9.3%Flash assists

7.43HE damage / grenade

4.85Flashes / 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.

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 25.124% — below the 40% mark we flag

Spend your practice time on Ancient

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–10	-0.02	13%	26 Aug →
dust2	9–7	-0.06	20%	26 Aug →
mirage	10–13	-0.09	12%	21 Aug →
dust2	13–5	0.02	15%	21 Aug →
nuke	13–10	0.03	20%	16 Aug →
mirage	9–13	-0.02	13%	15 Aug →
cache	13–4	0.03	23%	15 Aug →
dust2	13–9	-0.03	18%	14 Aug →
cache	13–10	-0.09	13%	14 Aug →
cache	9–13	-0.02	17%	12 Aug →
anubis	13–7	-0.02	10%	12 Aug →
cache	3–13	-0.09	28%	11 Aug →
mirage	15–15	0.00	24%	11 Aug →
nuke	13–4	-0.00	32%	11 Aug →
inferno	13–9	0.00	25%	9 Aug →
dust2	13–5	0.03	24%	9 Aug →
dust2	13–2	0.08	24%	9 Aug →
mirage	10–13	-0.06	21%	9 Aug →
inferno	8–13	0.03	21%	8 Aug →
anubis	6–13	-0.05	15%	29 Jul →
ancient	8–13	-0.01	22%	29 Jul →
nuke	9–13	-0.04	16%	23 Jul →
anubis	4–13	-0.09	15%	23 Jul →
inferno	8–13	-0.08	18%	23 Jul →
dust2	3–13	-0.14	21%	23 Jul →
mirage	2–13	-0.06	0%	23 Jul →
cache	13–9	-0.01	8%	23 Jul →
ancient	7–13	-0.05	13%	21 Jul →
cache	5–13	-0.09	26%	21 Jul →
dust2	13–10	-0.05	15%	21 Jul →
mirage	13–8	-0.02	20%	21 Jul →
ancient	13–6	-0.02	22%	21 Jul →
cache	7–13	-0.06	20%	21 Jul →
mirage	10–13	-0.06	17%	21 Jul →
cache	13–7	0.07	23%	19 Jul →
anubis	13–4	0.02	10%	18 Jul →
anubis	13–9	0.02	22%	18 Jul →
cache	13–11	0.08	20%	18 Jul →
mirage	8–13	-0.08	11%	17 Jul →
anubis	7–13	0.07	9%	17 Jul →
inferno	13–9	-0.02	20%	16 Jul →
mirage	16–12	-0.01	21%	16 Jul →
cache	1–13	-0.04	23%	8 Jul →
cache	1–13	-0.05	18%	8 Jul →
cache	0–6	-0.02	14%	8 Jul →
cache	12–12	-0.01	29%	7 Jul →
cache	7–13	-0.09	22%	7 Jul →
ancient	15–15	-0.04	27%	5 Jul →
mirage	9–13	-0.03	13%	28 Jun →
anubis	13–2	-0.04	10%	28 Jun →
nuke	11–13	-0.05	20%	26 Jun →
mirage	8–13	0.00	14%	26 Jun →
overpass	13–7	0.13	25%	26 Jun →
nuke	13–10	-0.01	13%	26 Jun →
overpass	5–13	-0.00	15%	25 Jun →
nuke	13–9	0.02	19%	25 Jun →
anubis	13–8	0.00	23%	24 Jun →
vertigo	13–8	-0.01	36%	24 Jun →
nuke	6–13	-0.09	25%	21 Jun →
mirage	13–7	0.03	18%	21 Jun →
inferno	8–13	-0.01	15%	21 Jun →
mirage	15–15	-0.01	19%	17 Jun →
inferno	13–11	0.00	20%	13 Jun →
ancient	10–13	-0.01	9%	13 Jun →
cache	9–13	-0.01	15%	13 Jun →
dust2	9–13	-0.04	23%	11 Jun →
nuke	9–13	-0.05	11%	2 Jun →
nuke	13–8	0.06	9%	2 Jun →
inferno	13–5	0.14	24%	27 May →
anubis	8–13	0.03	21%	27 May →
cache	13–11	-0.05	18%	27 May →
cache	13–7	-0.01	18%	29 Apr →
vertigo	9–1	0.08	23%	22 Apr →
overpass	11–13	0.01	20%	3 Mar →
anubis	13–9	0.02	13%	1 Mar →
nuke	13–11	-0.01	26%	27 Feb →
anubis	13–10	-0.05	11%	27 Feb →
overpass	13–7	0.07	13%	27 Feb →
mirage	15–15	0.05	12%	26 Feb →
mirage	8–13	0.05	10%	25 Feb →
overpass	13–8	0.02	11%	24 Feb →
nuke	13–6	-0.02	12%	24 Feb →
anubis	8–13	0.03	8%	18 Feb →
nuke	7–13	-0.07	11%	18 Feb →
nuke	6–13	0.01	12%	12 Feb →
anubis	11–13	-0.01	7%	12 Feb →
mirage	10–13	0.11	25%	30 Jan →
mirage	16–13	0.03	23%	30 Jan →
mirage	6–13	-0.03	13%	30 Jan →
mirage	7–13	-0.04	24%	29 Jan →
anubis	15–15	0.04	22%	29 Jan →
dust2	5–13	0.03	14%	27 Jan →
mirage	16–14	-0.01	14%	27 Jan →
anubis	9–13	-0.00	13%	25 Jan →
nuke	13–7	0.10	18%	25 Jan →
anubis	13–10	0.04	12%	25 Jan →
mirage	13–10	-0.01	24%	24 Jan →
mirage	6–13	-0.07	24%	24 Jan →
overpass	16–12	-0.03	17%	24 Jan →
nuke	16–14	0.01	26%	22 Jan →