Smok3 — CS2 Stats

ZA76561198316598792[U:1:356333064]Steam profile ↗✓ No bans

1,197Tracked matches54%Win rate2020Tracked since

5,843Hours in CS95Hrs last 2 wks

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating24,529Top 50% of 819 CSDB-tracked playersPink band · top ~3.5% of ranked players (population est.)

CSDB Leaderboard#1553 of 7819 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim78

Positioning59

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY57–37–6Last 10057%Win rateLWLLWLWWLL

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.8

Aggression9.7

Utility6.5

Positioning5.9

Opening Duels4.8

Clutch2.6

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 device 94% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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 57% on CT to 41% 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

Aim7.8

Positioning5.9

Utility6.5

Mechanics6.1

Opening Duels4.8

Win Impact6.3

Composite 6.7/10 (Solid), 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 rating0.03−0.03

first ⅓ avg 0.06 → last ⅓ avg 0.03

Reaction time524ms−51ms

first ⅓ avg 575ms → last ⅓ avg 524ms

Headshot accuracy16.9%−0.7%

first ⅓ avg 17.6% → last ⅓ avg 16.9%

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

0.16Best rating — dust2 13–1

13–0Biggest win — anubis

17Longest win streak

8–5In matches decided by ≤2 rounds

12Overtime games

Map breakdown

anubisBest map · 89% over 9nukeWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	30	18–12	60%	0.05
inferno	B	18	9–9	50%	0.05
ancient	C	14	6–8	43%	0.04
dust2	A	14	8–6	57%	0.04
cache	A	10	6–4	60%	0.03
anubis	S	9	8–1	89%	0.06
nuke	C	5	2–3	40%	0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

159,928Lifetime kills

1.19K/D · Top 50% of Pink band

6,030Matches

46.8%Match win rate · Top 50% of Pink band

42.7%Headshot %

15.7%Shot accuracy · Top 50% of Pink band

23,927MVPs

3,195Hours (in match)

8,275Bombs planted

5,029Bombs defused

Most-used weapons

AK-4757,231

AWP25,776

M4A4 / M4A1-S22,266

Desert Eagle11,134

P2000 / USP-S9,495

Glock-186,694

SSG 083,000

MAC-102,735

FAMAS2,643

P2502,151

Lifetime map wins

18,313dust2

11,326inferno

4,199train

3,717nuke

3,102vertigo

1,561cbble

115lake

112office

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

Faceit stats

Combat

330Matches

55%Win rate

1.20Avg K/D

88.4ADR

38%Headshot %

Clutches & streaks

33%1v1 clutch win

25%1v2 clutch win

12Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	12	50%	1.22	17.2
Dust2	9	67%	1.40	15.8
Anubis	5	80%	1.61	16.6
Inferno	4	25%	0.86	14.5
Vertigo	2	100%	1.12	16.0
Nuke	1	100%	2.17	26.0
Ancient	1	100%	1.57	22.0

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.

17.2%Headshot accuracy

38.1%Accuracy (enemy spotted)

40.5%Spray accuracy

77.4%Counter-strafing

10.3°Preaim

527msReaction time

41.2%T opening success

56.8%CT opening success

0.75Enemies flashed / flash

6.8%Flash assists

12.42HE damage / grenade

6.65Flashes / match

Recommended for you

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.

40% win rate across 5 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
nuke	7–13	-0.00	14%	28 Aug →
mirage	13–10	0.06	12%	27 Aug →
cache	5–13	0.07	15%	27 Aug →
nuke	8–13	0.00	14%	27 Aug →
mirage	13–6	-0.02	21%	27 Aug →
mirage	8–13	-0.02	21%	25 Aug →
inferno	3–1	-0.01	0%	25 Aug →
ancient	13–1	0.07	24%	25 Aug →
mirage	6–13	-0.01	12%	25 Aug →
dust2	7–13	-0.01	26%	25 Aug →
mirage	10–13	0.02	20%	25 Aug →
mirage	13–5	0.07	5%	25 Aug →
mirage	9–13	0.04	14%	25 Aug →
anubis	13–2	0.04	17%	25 Aug →
ancient	2–13	-0.02	18%	25 Aug →
dust2	13–8	0.07	13%	25 Aug →
inferno	12–16	0.01	13%	25 Aug →
nuke	13–5	-0.02	26%	25 Aug →
ancient	15–15	0.05	12%	23 Aug →
mirage	13–9	-0.04	9%	23 Aug →
ancient	13–6	0.10	23%	23 Aug →
mirage	13–8	0.08	25%	23 Aug →
dust2	15–15	0.02	11%	21 Aug →
cache	15–15	0.08	13%	20 Aug →
mirage	13–9	0.13	22%	20 Aug →
mirage	7–13	0.05	19%	20 Aug →
mirage	15–15	0.07	25%	19 Aug →
inferno	13–7	0.10	31%	19 Aug →
dust2	7–13	0.00	19%	19 Aug →
mirage	16–14	0.05	17%	19 Aug →
ancient	6–13	-0.02	18%	19 Aug →
mirage	13–9	0.04	21%	19 Aug →
cache	13–9	0.04	8%	19 Aug →
mirage	16–14	0.03	20%	19 Aug →
anubis	13–3	0.06	22%	19 Aug →
ancient	10–13	0.04	21%	19 Aug →
mirage	13–16	0.06	18%	18 Aug →
dust2	7–13	-0.05	23%	18 Aug →
inferno	10–13	0.09	28%	18 Aug →
dust2	7–13	0.03	29%	18 Aug →
ancient	3–13	0.02	11%	18 Aug →
mirage	16–12	0.05	16%	18 Aug →
dust2	13–6	0.07	21%	18 Aug →
mirage	13–5	0.04	20%	18 Aug →
ancient	9–13	0.02	31%	18 Aug →
inferno	11–13	-0.02	17%	18 Aug →
cache	5–13	-0.04	16%	18 Aug →
ancient	13–11	0.06	18%	18 Aug →
inferno	11–13	0.03	21%	18 Aug →
inferno	11–13	0.07	24%	18 Aug →
mirage	13–10	0.13	22%	17 Aug →
nuke	13–16	0.02	12%	17 Aug →
inferno	9–13	0.01	16%	17 Aug →
ancient	13–10	0.12	16%	17 Aug →
anubis	13–11	0.04	16%	16 Aug →
mirage	13–10	0.07	29%	13 Aug →
inferno	15–15	-0.01	16%	13 Aug →
mirage	13–6	0.02	16%	13 Aug →
cache	13–10	-0.01	10%	12 Aug →
ancient	16–13	0.04	16%	12 Aug →
anubis	13–6	0.05	22%	12 Aug →
cache	13–2	0.08	12%	11 Aug →
mirage	13–9	0.04	22%	11 Aug →
ancient	4–13	0.01	26%	11 Aug →
mirage	7–13	0.12	18%	10 Aug →
mirage	13–1	0.15	26%	10 Aug →
inferno	11–13	0.11	18%	9 Aug →
inferno	13–8	0.04	27%	9 Aug →
cache	13–8	0.07	11%	9 Aug →
anubis	6–13	0.01	25%	9 Aug →
cache	11–13	-0.04	8%	9 Aug →
dust2	13–10	0.04	14%	9 Aug →
cache	13–3	0.04	21%	9 Aug →
ancient	10–13	0.07	15%	9 Aug →
dust2	12–12	0.06	20%	7 Aug →
nuke	13–5	0.13	15%	7 Aug →
dust2	13–8	0.10	22%	7 Aug →
cache	13–8	0.05	16%	6 Aug →
inferno	13–7	0.06	19%	6 Aug →
dust2	13–7	-0.00	17%	5 Aug →
mirage	13–11	0.08	16%	4 Aug →
mirage	13–5	0.10	18%	4 Aug →
inferno	13–4	0.03	15%	3 Aug →
anubis	13–11	0.10	9%	3 Aug →
inferno	13–7	0.09	20%	3 Aug →
anubis	13–11	0.12	19%	3 Aug →
ancient	13–5	0.03	9%	2 Aug →
dust2	13–7	0.09	32%	2 Aug →
anubis	13–0	0.08	15%	2 Aug →
inferno	13–9	0.06	15%	2 Aug →
dust2	13–1	0.16	19%	2 Aug →
inferno	13–3	0.08	12%	1 Aug →
mirage	1–13	-0.04	33%	1 Aug →
mirage	10–13	0.08	16%	1 Aug →
mirage	8–13	0.02	20%	1 Aug →
inferno	13–6	0.11	19%	1 Aug →
mirage	10–13	-0.02	15%	1 Aug →
dust2	13–6	-0.00	19%	30 Jul →
inferno	5–13	0.10	11%	29 Jul →
anubis	13–10	0.06	18%	29 Jul →