Smoking Cats — CS2 Stats

PS76561198161929311[U:1:201663583]Steam profile ↗✓ No bans

1,593Tracked matches50%Win rate2020Tracked since

CSDB Rating7.1 StrongAggressive Rifler

Premier CS Rating21,583Top 50% of 44,590 CSDB-tracked playersPink band · top ~6.8% of ranked players (population est.)

CSDB Leaderboard#16670 of 56740 tracked

FaceitLevel 10 · 2,583 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim92

Positioning62

Utility60

0–100 skill scores via Leetify.

Recent form

COLD50–46–4Last 10050%Win rateWLLLLWLLWL

Last 10 vs previous 10: -30pp win rate · -0.04 avg rating

Player DNA

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

Aim9.2

Aggression10.0

Utility6.0

Positioning6.2

Opening Duels4.8

Clutch4.6

Sharp aimerStrong 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 device 96% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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

Strengths

Aim. Aim score of 92 — the mechanical foundation is a clear strength.

CT openings. 69% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 69% on CT to 29% 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

Aim9.2

Positioning6.2

Utility6.0

Mechanics7.3

Opening Duels4.9

Win Impact5.0

Composite 7.1/10 (Strong), 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 rating0.00−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time541ms−75ms

first ⅓ avg 615ms → last ⅓ avg 541ms

Headshot accuracy24.8%−1.1%

first ⅓ avg 25.9% → last ⅓ avg 24.8%

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

13–1Biggest win — ancient

4Longest win streak

5–9In matches decided by ≤2 rounds

1Overtime games

Map breakdown

dust2Best map · 67% over 15mirageWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	20	9–11	45%	-0.00
inferno	A	17	10–7	59%	0.01
dust2	S	15	10–5	67%	0.01
anubis	A	14	8–6	57%	0.01
mirage	D	10	2–8	20%	0.00
nuke	A	9	5–4	56%	0.03
ancient	D	6	2–4	33%	-0.03
overpass	—	3	1–2	33%	-0.03
train	—	2	1–1	50%	0.01
poseidon	—	1	0–1	0%	-0.00
boulder	—	1	0–1	0%	0.10
shelter	—	1	1–0	100%	0.07
italy	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,652Matches

54%Win rate

1.06Avg K/D

81.8ADR

51%Headshot %

Clutches & streaks

43%1v1 clutch win

19%1v2 clutch win

12Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	231	54%	1.08	16.2
Nuke	142	68%	1.22	17.3
Dust2	135	44%	1.08	16.4
Anubis	79	47%	1.10	16.8
Ancient	77	57%	1.05	16.1
Inferno	74	57%	1.06	16.1
Vertigo	38	61%	1.30	17.9
Overpass	18	33%	0.98	18.4

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.

24.3%Headshot accuracy

39.5%Accuracy (enemy spotted)

44.0%Spray accuracy

82.8%Counter-strafing

8.3°Preaim

530msReaction time

29.5%T opening success

68.8%CT opening success

0.54Enemies flashed / flash

9.7%Flash assists

9.38HE damage / grenade

9.31Flashes / 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 29.4797% — below the 40% mark we flag

Spend your practice time on Mirage

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 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–10	0.04	23%	28 Aug →
anubis	7–13	-0.00	22%	27 Aug →
cache	0–7	-0.05	0%	26 Aug →
cache	4–13	-0.05	43%	24 Aug →
inferno	7–13	0.02	29%	24 Aug →
inferno	13–4	0.03	32%	23 Aug →
cache	2–13	-0.11	29%	23 Aug →
cache	11–13	-0.01	27%	22 Aug →
dust2	13–7	-0.01	38%	22 Aug →
anubis	11–13	-0.01	19%	22 Aug →
dust2	10–13	-0.02	22%	21 Aug →
cache	13–9	0.12	22%	21 Aug →
anubis	13–5	-0.00	24%	21 Aug →
dust2	13–7	0.05	26%	20 Aug →
ancient	4–13	-0.03	20%	18 Aug →
anubis	0–4	0.08	57%	18 Aug →
train	13–9	0.01	28%	18 Aug →
dust2	7–3	0.05	21%	18 Aug →
nuke	5–13	-0.01	24%	18 Aug →
cache	13–10	-0.04	22%	17 Aug →
inferno	13–2	0.06	20%	17 Aug →
dust2	13–5	0.03	26%	17 Aug →
cache	13–6	0.04	21%	17 Aug →
nuke	5–13	-0.00	20%	17 Aug →
inferno	5–13	0.02	32%	17 Aug →
anubis	13–9	0.03	21%	16 Aug →
nuke	13–11	0.08	18%	16 Aug →
cache	15–15	0.04	22%	16 Aug →
cache	12–12	-0.01	17%	16 Aug →
overpass	11–13	-0.01	22%	16 Aug →
inferno	4–13	-0.06	31%	16 Aug →
dust2	6–13	-0.10	19%	16 Aug →
nuke	8–13	0.00	21%	16 Aug →
cache	3–13	-0.06	47%	1 Aug →
mirage	1–13	-0.02	36%	1 Aug →
ancient	13–1	-0.00	26%	1 Aug →
cache	13–11	0.02	24%	31 Jul →
inferno	1–13	-0.04	27%	31 Jul →
anubis	13–5	0.03	33%	31 Jul →
inferno	13–8	0.04	26%	31 Jul →
dust2	13–11	0.02	32%	31 Jul →
mirage	11–13	-0.03	20%	31 Jul →
cache	13–5	-0.04	26%	31 Jul →
inferno	13–10	0.01	21%	30 Jul →
train	4–13	0.01	37%	30 Jul →
mirage	6–13	-0.06	29%	30 Jul →
inferno	10–13	0.03	26%	30 Jul →
dust2	3–13	-0.06	10%	30 Jul →
mirage	13–10	-0.01	36%	30 Jul →
anubis	13–11	0.08	19%	29 Jul →
nuke	13–10	0.04	12%	29 Jul →
ancient	5–13	-0.06	9%	29 Jul →
inferno	13–7	0.02	18%	29 Jul →
inferno	13–9	0.03	22%	29 Jul →
anubis	13–10	0.00	27%	29 Jul →
poseidon	5–9	-0.00	34%	29 Jul →
inferno	8–13	-0.03	24%	28 Jul →
cache	13–9	0.01	27%	28 Jul →
mirage	6–13	0.00	16%	28 Jul →
cache	13–7	0.08	29%	27 Jul →
anubis	11–13	-0.01	23%	27 Jul →
cache	13–3	0.01	22%	27 Jul →
cache	6–13	-0.06	11%	27 Jul →
inferno	13–8	0.05	16%	23 Jul →
anubis	13–1	0.02	28%	23 Jul →
anubis	5–13	-0.04	20%	21 Jul →
inferno	13–5	0.02	45%	21 Jul →
overpass	8–13	-0.04	26%	19 Jul →
mirage	12–12	0.00	36%	19 Jul →
anubis	6–13	-0.08	19%	18 Jul →
inferno	13–2	-0.01	29%	18 Jul →
dust2	7–13	-0.02	33%	13 Jul →
inferno	13–10	0.01	15%	13 Jul →
ancient	7–13	-0.07	26%	13 Jul →
boulder	11–13	0.10	38%	13 Jul →
mirage	11–13	0.05	31%	12 Jul →
dust2	13–1	0.07	33%	12 Jul →
cache	6–13	0.02	28%	11 Jul →
mirage	13–2	-0.02	36%	11 Jul →
overpass	13–7	-0.05	16%	11 Jul →
cache	6–13	0.03	26%	11 Jul →
dust2	13–11	-0.03	15%	10 Jul →
shelter	13–7	0.07	25%	10 Jul →
anubis	13–7	0.05	20%	9 Jul →
inferno	10–13	-0.05	9%	9 Jul →
nuke	13–6	0.01	26%	9 Jul →
nuke	13–10	0.11	29%	9 Jul →
cache	5–13	0.03	15%	9 Jul →
nuke	6–13	0.08	25%	9 Jul →
dust2	11–13	-0.00	34%	9 Jul →
ancient	11–13	-0.01	18%	8 Jul →
dust2	13–5	0.05	36%	8 Jul →
italy	13–4	0.03	30%	8 Jul →
ancient	13–9	-0.00	23%	8 Jul →
mirage	12–12	0.05	33%	8 Jul →
nuke	13–8	-0.04	25%	7 Jul →
cache	13–5	-0.02	28%	7 Jul →
anubis	13–8	0.07	26%	7 Jul →
dust2	13–10	0.07	21%	7 Jul →
mirage	10–13	0.07	22%	7 Jul →