SmokeGhost — CS2 Stats

ZA76561198008065212[U:1:47799484]Steam profile ↗

462Tracked matches43%Win rate2023Tracked since

2,186Hours in CS21Hrs last 2 wks

CSDB Rating5.4 DevelopingAggressive Rifler

Premier CS Rating10,000Blue band · top ~54.9% of ranked players (population est.)

CSDB Leaderboard#12436 of 16943 tracked

Ladder ranks via Leetify

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Performance scores

Aim72

Positioning63

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY45–52–3Last 10045%Win rateLLLWWLLWLW

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.

Aim7.2

Aggression7.9

Utility5.3

Positioning6.3

Opening Duels3.6

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.

Your pro match

Plays most like b1t 93% playstyle similarity

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

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 52% on CT to 37% 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

Aim7.2

Positioning6.3

Utility5.3

Mechanics5.6

Opening Duels3.6

Win Impact2.8

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.00

Reaction time516ms−68ms

first ⅓ avg 584ms → last ⅓ avg 516ms

Headshot accuracy20.1%+4.0%

first ⅓ avg 16.2% → last ⅓ avg 20.1%

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

0.12Best rating — cache 13–9

13–3Biggest win — nuke

4Longest win streak

L3Current streak

8–14In matches decided by ≤2 rounds

11Overtime games

Map breakdown

nukeBest map · 53% over 17infernoWeakest map · 35% over 17

Map	Grade	Played	Record	Win rate	Avg rating
anubis	C	22	9–13	41%	-0.00
ancient	C	21	9–12	43%	-0.02
nuke	B	17	9–8	53%	-0.00
inferno	C	17	6–11	35%	-0.00
cache	B	16	8–8	50%	0.00
dust2	—	3	1–2	33%	0.01
mirage	—	2	1–1	50%	-0.01
office	—	1	1–0	100%	-0.04
overpass	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

114,430Lifetime kills

1.12K/D · Top 50% of tracked players

5,071Matches

41.2%Match win rate

52.7%Headshot % · Top 25% of tracked players

14.8%Shot accuracy · Top 50% of tracked players

6,427MVPs

1,699Hours (in match)

2,450Bombs planted

1,087Bombs defused

Most-used weapons

AK-4740,490

AWP19,091

M4A4 / M4A1-S16,478

Desert Eagle8,906

P2000 / USP-S6,034

FAMAS3,003

P2502,224

SSG 082,200

Glock-182,117

MP91,710

Lifetime map wins

5,770dust2

3,325inferno

1,744nuke

766cbble

447vertigo

305train

298office

163italy

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.7%Headshot accuracy

33.9%Accuracy (enemy spotted)

32.5%Spray accuracy

75.2%Counter-strafing

10.0°Preaim

508msReaction time

36.7%T opening success

51.9%CT opening success

0.63Enemies flashed / flash

3.1%Flash assists

8.40HE damage / grenade

10.49Flashes / 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 36.7236% — below the 40% mark we flag

Spend your practice time on Inferno

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

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	14–16	0.04	12%	25 Aug →
anubis	11–13	0.03	12%	25 Aug →
anubis	3–13	-0.02	17%	25 Aug →
ancient	5–0	-0.05	0%	25 Aug →
nuke	13–11	0.00	17%	25 Aug →
anubis	9–13	-0.01	56%	24 Aug →
anubis	10–13	-0.01	19%	24 Aug →
nuke	13–7	0.02	30%	24 Aug →
ancient	11–13	-0.01	23%	24 Aug →
anubis	13–10	0.02	23%	23 Aug →
anubis	8–13	-0.03	16%	23 Aug →
nuke	7–13	-0.01	16%	23 Aug →
cache	13–9	0.12	41%	19 Aug →
anubis	13–4	0.11	11%	19 Aug →
cache	10–13	-0.01	14%	18 Aug →
nuke	3–13	-0.04	16%	18 Aug →
anubis	4–13	-0.05	3%	17 Aug →
cache	13–8	-0.04	16%	17 Aug →
inferno	11–13	-0.02	32%	17 Aug →
ancient	6–13	0.04	23%	17 Aug →
anubis	14–16	0.02	20%	16 Aug →
inferno	16–13	0.00	26%	16 Aug →
ancient	13–7	0.03	30%	15 Aug →
nuke	13–9	-0.01	7%	15 Aug →
inferno	13–10	-0.02	28%	13 Aug →
inferno	9–13	0.01	20%	13 Aug →
ancient	10–13	0.01	11%	12 Aug →
inferno	6–13	0.00	33%	12 Aug →
ancient	13–9	-0.02	13%	12 Aug →
anubis	13–10	0.07	17%	11 Aug →
inferno	13–6	0.04	26%	11 Aug →
inferno	7–13	-0.08	16%	10 Aug →
ancient	8–13	0.00	22%	10 Aug →
nuke	13–9	0.01	20%	10 Aug →
ancient	9–13	-0.03	20%	10 Aug →
ancient	11–13	-0.10	18%	8 Aug →
cache	13–7	0.04	14%	8 Aug →
anubis	13–9	0.05	17%	8 Aug →
ancient	8–13	-0.07	21%	8 Aug →
ancient	15–15	-0.02	12%	8 Aug →
ancient	13–16	0.00	20%	8 Aug →
cache	13–11	-0.06	26%	8 Aug →
nuke	13–3	0.08	29%	8 Aug →
inferno	2–13	-0.06	24%	7 Aug →
cache	13–6	-0.04	18%	7 Aug →
nuke	11–13	0.07	19%	7 Aug →
anubis	5–13	-0.01	27%	7 Aug →
anubis	13–6	0.05	11%	7 Aug →
nuke	14–16	-0.03	15%	7 Aug →
ancient	11–13	-0.03	23%	6 Aug →
cache	5–13	-0.08	12%	29 Jul →
anubis	13–8	-0.06	0%	29 Jul →
nuke	13–9	0.04	21%	28 Jul →
nuke	13–8	0.00	32%	27 Jul →
anubis	13–7	0.05	16%	27 Jul →
inferno	9–13	-0.02	16%	23 Jul →
nuke	11–13	-0.02	18%	23 Jul →
inferno	11–13	-0.01	11%	21 Jul →
ancient	13–11	-0.05	11%	21 Jul →
cache	8–13	-0.01	19%	19 Jul →
ancient	13–5	-0.01	23%	18 Jul →
dust2	8–13	-0.04	12%	18 Jul →
anubis	11–13	-0.02	16%	18 Jul →
inferno	13–10	-0.04	23%	18 Jul →
ancient	7–13	-0.01	8%	18 Jul →
inferno	9–13	-0.02	26%	17 Jul →
cache	12–16	-0.01	19%	17 Jul →
nuke	13–9	-0.03	17%	17 Jul →
inferno	11–13	0.00	23%	16 Jul →
cache	13–11	0.02	15%	14 Jul →
dust2	15–15	0.01	17%	14 Jul →
cache	8–13	0.01	14%	13 Jul →
inferno	13–5	0.07	22%	13 Jul →
anubis	1–13	-0.09	8%	13 Jul →
mirage	9–13	-0.01	19%	12 Jul →
anubis	4–13	-0.09	18%	12 Jul →
inferno	6–13	0.01	24%	12 Jul →
mirage	13–9	-0.00	10%	12 Jul →
cache	13–10	-0.02	22%	12 Jul →
ancient	13–9	0.07	11%	11 Jul →
cache	6–13	0.01	19%	11 Jul →
anubis	13–11	0.01	18%	11 Jul →
nuke	2–13	-0.07	5%	11 Jul →
dust2	13–8	0.07	20%	11 Jul →
cache	13–9	0.03	14%	11 Jul →
cache	13–16	0.07	22%	9 Jul →
cache	11–13	0.02	11%	9 Jul →
ancient	13–3	-0.02	13%	8 Jul →
office	13–4	-0.04	19%	8 Jul →
inferno	9–13	0.00	26%	4 Jul →
anubis	5–13	-0.04	16%	4 Jul →
inferno	13–5	0.04	22%	2 Jul →
nuke	13–11	0.02	16%	2 Jul →
nuke	15–15	-0.03	19%	1 Jul →
ancient	13–11	-0.01	7%	1 Jul →
ancient	13–11	0.01	18%	30 Jun →
overpass	16–13	-0.04	14%	30 Jun →
anubis	13–8	-0.02	9%	29 Jun →
ancient	5–13	-0.08	6%	24 Jun →
nuke	4–13	-0.03	18%	24 Jun →