smokomy — CS2 Stats

76561198085426361[U:1:125160633]Steam profile ↗✓ No bans

1,554Tracked matches38%Win rate2020Tracked since

CSDB Rating5.2 DevelopingHybrid Rifler

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

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Performance scores

Aim69

Positioning46

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY44–49–7Last 10044%Win rateWLWLLLLLWW

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

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

Aim6.9

Aggression5.0

Utility6.0

Positioning4.6

Opening Duels2.3

Clutch3.0

Strong CT-side openerEffective flashes

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 90% 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

T-side openings. Opening success drops from 49% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 577ms 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

Aim6.9

Positioning4.6

Utility6.0

Mechanics6.5

Opening Duels2.3

Win Impact1.0

Composite 5.2/10 (Developing), 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 rating-0.02−0.02

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time574ms−61ms

first ⅓ avg 634ms → last ⅓ avg 574ms

Headshot accuracy21.3%−0.0%

first ⅓ avg 21.3% → last ⅓ avg 21.3%

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

0.11Best rating — overpass 13–3

13–1Biggest win — train

5Longest win streak

3–6In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 67% over 6cacheWeakest map · 29% over 17

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	18	7–11	39%	-0.02
cache	D	17	5–12	29%	-0.02
inferno	B	10	5–5	50%	-0.01
train	B	10	5–5	50%	-0.01
ancient	A	10	6–4	60%	-0.01
nuke	C	9	4–5	44%	-0.02
overpass	A	8	5–3	63%	0.01
anubis	C	7	3–4	43%	-0.02
vertigo	S	6	4–2	67%	-0.01
dust2	—	4	0–4	0%	-0.06
italy	—	1	0–1	0%	0.08

Across the last 100 tracked matches.

Faceit stats

Combat

686Matches

53%Win rate

1.01Avg K/D

80.8ADR

48%Headshot %

Clutches & streaks

35%1v1 clutch win

14%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	44	43%	0.89	15.4
Ancient	23	48%	0.89	14.7
Inferno	20	45%	1.16	14.1
Anubis	20	60%	0.96	15.6
Vertigo	15	53%	1.00	18.1
Overpass	13	54%	0.80	13.4
Cache	11	55%	1.09	17.4
Dust2	7	43%	0.80	13.1

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.

21.5%Headshot accuracy

30.6%Accuracy (enemy spotted)

36.5%Spray accuracy

79.4%Counter-strafing

9.7°Preaim

577msReaction time

29.7%T opening success

48.6%CT opening success

0.72Enemies flashed / flash

11.7%Flash assists

9.86HE damage / grenade

5.73Flashes / 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 29.7423% — below the 40% mark we flag

Spend your practice time on Cache

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

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–6	0.03	28%	28 Aug →
cache	4–13	-0.02	15%	28 Aug →
overpass	13–8	0.01	20%	28 Aug →
overpass	0–13	-0.07	25%	27 Aug →
inferno	8–13	-0.04	23%	27 Aug →
anubis	9–13	-0.03	21%	27 Aug →
cache	8–13	-0.03	20%	26 Aug →
mirage	5–13	-0.10	7%	26 Aug →
nuke	13–6	0.01	24%	26 Aug →
overpass	13–4	0.07	13%	26 Aug →
mirage	13–7	-0.04	17%	26 Aug →
vertigo	9–13	-0.07	21%	22 Aug →
anubis	2–13	-0.06	37%	21 Aug →
vertigo	13–5	0.04	26%	21 Aug →
inferno	13–7	-0.01	20%	21 Aug →
train	12–12	-0.02	41%	19 Aug →
dust2	5–13	-0.05	22%	18 Aug →
mirage	4–13	-0.00	20%	18 Aug →
ancient	13–9	0.01	19%	18 Aug →
inferno	13–6	0.02	16%	17 Aug →
mirage	10–13	-0.06	15%	17 Aug →
cache	8–13	-0.02	13%	16 Aug →
cache	11–13	-0.01	32%	16 Aug →
mirage	9–13	-0.01	25%	15 Aug →
inferno	13–8	-0.04	30%	15 Aug →
vertigo	5–0	0.01	38%	15 Aug →
train	9–13	-0.00	22%	15 Aug →
cache	6–13	-0.05	15%	14 Aug →
mirage	1–13	0.03	23%	14 Aug →
ancient	10–13	-0.07	8%	14 Aug →
mirage	11–13	-0.04	8%	13 Aug →
dust2	9–13	-0.10	18%	13 Aug →
cache	13–9	-0.05	23%	13 Aug →
overpass	12–12	-0.01	13%	12 Aug →
mirage	8–13	0.11	16%	12 Aug →
train	13–7	0.07	45%	12 Aug →
nuke	11–13	0.00	21%	12 Aug →
inferno	5–13	0.01	32%	12 Aug →
ancient	7–13	-0.05	12%	11 Aug →
nuke	7–13	-0.05	29%	11 Aug →
anubis	10–13	-0.01	25%	11 Aug →
cache	9–13	-0.00	19%	10 Aug →
train	6–13	-0.02	24%	10 Aug →
mirage	10–13	-0.07	26%	10 Aug →
anubis	13–8	-0.05	16%	10 Aug →
cache	13–7	-0.11	7%	9 Aug →
mirage	13–9	-0.07	12%	9 Aug →
ancient	4–13	-0.03	39%	9 Aug →
cache	7–13	-0.06	22%	1 Aug →
inferno	13–7	-0.05	21%	1 Aug →
mirage	13–10	-0.03	21%	1 Aug →
vertigo	13–8	-0.00	25%	29 Jul →
train	12–12	-0.04	21%	29 Jul →
mirage	9–13	0.00	24%	28 Jul →
vertigo	13–6	-0.01	25%	28 Jul →
anubis	13–4	0.02	22%	28 Jul →
ancient	13–8	-0.00	28%	27 Jul →
inferno	9–13	-0.04	10%	27 Jul →
cache	13–8	-0.00	14%	27 Jul →
ancient	13–11	0.01	11%	24 Jul →
mirage	13–10	-0.05	18%	24 Jul →
cache	11–13	0.01	22%	24 Jul →
nuke	13–7	-0.01	17%	24 Jul →
inferno	12–12	-0.00	29%	21 Jul →
train	13–1	-0.04	41%	21 Jul →
ancient	13–5	0.08	30%	19 Jul →
cache	6–13	-0.06	8%	19 Jul →
nuke	4–13	-0.07	38%	19 Jul →
mirage	3–13	-0.07	24%	16 Jul →
cache	13–2	0.05	24%	16 Jul →
dust2	12–12	0.02	16%	16 Jul →
cache	11–13	0.01	10%	13 Jul →
overpass	13–6	-0.02	6%	13 Jul →
mirage	13–11	-0.01	16%	13 Jul →
nuke	10–13	-0.00	20%	7 Jul →
overpass	8–13	-0.05	24%	6 Jul →
anubis	13–8	0.03	23%	6 Jul →
ancient	5–13	-0.02	22%	6 Jul →
train	13–4	0.02	2%	6 Jul →
mirage	13–7	-0.02	37%	6 Jul →
dust2	9–7	-0.11	28%	6 Jul →
italy	6–13	0.08	25%	5 Jul →
vertigo	5–13	-0.02	27%	5 Jul →
nuke	13–8	0.04	27%	5 Jul →
anubis	0–13	-0.00	18%	26 Jun →
mirage	9–13	0.03	20%	25 Jun →
ancient	13–10	-0.00	24%	25 Jun →
nuke	5–13	-0.06	10%	25 Jun →
train	13–9	0.01	17%	24 Jun →
inferno	12–12	-0.02	21%	24 Jun →
train	8–13	-0.03	19%	17 Jun →
train	13–10	-0.02	39%	17 Jun →
cache	13–6	0.04	39%	14 Jun →
cache	12–12	-0.04	12%	12 Jun →
nuke	13–4	0.00	34%	12 Jun →
overpass	13–3	0.11	11%	9 Jun →
overpass	13–11	0.01	24%	9 Jun →
mirage	13–3	-0.02	17%	7 Jun →
ancient	13–3	-0.02	18%	7 Jun →
cache	9–13	-0.04	15%	7 Jun →