Rat smoker — CS2 Stats

76561198839909755[U:1:879644027]Steam profile ↗✓ No bans

1,521Tracked matches57%Win rate2020Tracked since

2,115Hours in CS45Hrs last 2 wks

CSDB Rating4.3 Developing

Premier CS Rating8,816Light Blue band · top ~60.6% of ranked players (population est.)

CSDB Leaderboard#39159 of 53329 tracked

FaceitLevel 5 · 1,070 ELOTop 67.6% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=1,660), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 5 median	Level 6 median	vs Level 6
Headshot rate	36.0%	44.0%	44.7%	8.7% short
Shot accuracy	11.3%	11.6%	11.9%	0.7% short
Kill/death ratio	0.87	1.03	1.04	0.17 short
Match win rate	39.9%	45.1%	45.2%	5.3% short

This profile sits below the typical Level 6 player on every metric we can compare.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim54

Positioning55

Utility34

0–100 skill scores via Leetify.

Recent form

STEADY48–51–1Last 10048%Win rateLWLWLWLLWW

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

Player DNA

Aim5.4

Aggression10.0

Utility3.4

Positioning5.5

Opening Duels5.5

Clutch1.0

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 80% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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

Reaction time. 577ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 59% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.4

Positioning5.5

Utility3.4

Mechanics2.0

Opening Duels5.5

Win Impact7.2

Composite 4.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.05

first ⅓ avg -0.03 → last ⅓ avg 0.03

Reaction time589ms−33ms

first ⅓ avg 621ms → last ⅓ avg 589ms

Headshot accuracy14.0%+1.5%

first ⅓ avg 12.6% → last ⅓ avg 14.0%

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

0.15Best rating — dust2 13–8

13–1Biggest win — anubis

6Longest win streak

8–7In matches decided by ≤2 rounds

11Overtime games

Map breakdown

anubisBest map · 71% over 7cacheWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	25	10–15	40%	0.00
mirage	A	23	13–10	57%	0.01
inferno	C	16	7–9	44%	-0.00
ancient	C	15	6–9	40%	-0.00
anubis	S	7	5–2	71%	0.03
cache	D	6	2–4	33%	-0.05
dust2	A	5	3–2	60%	0.02
train	—	2	2–0	100%	0.05
overpass	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Lifetime stats

47,906Lifetime kills

0.87K/D

2,926Matches

39.9%Match win rate

36.0%Headshot %

11.3%Shot accuracy

5,814MVPs

1,081Hours (in match)

1,885Bombs planted

579Bombs defused

Most-used weapons

AK-4711,905

M4A4 / M4A1-S8,569

AWP4,865

P2000 / USP-S3,334

Glock-182,512

Galil AR1,574

Desert Eagle1,377

MAC-101,330

MP71,328

MP91,283

Lifetime map wins

3,997inferno

2,847nuke

1,724vertigo

1,599dust2

1,245train

50cbble

27safehouse

24ar_shoots

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

Faceit stats

Combat

41Matches

54%Win rate

0.90Avg K/D

75.7ADR

33%Headshot %

Clutches & streaks

25%1v1 clutch win

7%1v2 clutch win

6Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	15	60%	0.89	15.3
Nuke	6	67%	1.01	11.7
Overpass	5	20%	0.65	12.6
Inferno	4	50%	1.04	12.8
Anubis	2	50%	0.86	13.0
Train	1	100%	1.09	12.0
Dust2	1	100%	0.67	12.0
Ancient	1	100%	0.76	13.0

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.

14.0%Headshot accuracy

38.3%Accuracy (enemy spotted)

39.6%Spray accuracy

58.8%Counter-strafing

10.9°Preaim

577msReaction time

47.5%T opening success

56.6%CT opening success

0.50Enemies flashed / flash

3.0%Flash assists

7.00HE damage / grenade

4.57Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.9534% — below the 15% mark we flag
Aim Training →

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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
mirage	9–13	-0.02	19%	30 Aug →
anubis	16–14	0.03	13%	30 Aug →
inferno	12–16	0.13	16%	30 Aug →
inferno	16–13	0.05	17%	28 Aug →
mirage	14–16	0.05	14%	28 Aug →
nuke	13–10	0.03	11%	28 Aug →
dust2	5–13	0.00	18%	26 Aug →
inferno	9–13	0.01	8%	26 Aug →
ancient	13–5	0.05	22%	25 Aug →
nuke	16–14	-0.00	12%	25 Aug →
ancient	10–13	0.02	7%	25 Aug →
dust2	13–4	0.00	11%	25 Aug →
nuke	13–5	0.08	13%	25 Aug →
mirage	13–4	0.08	14%	25 Aug →
inferno	13–8	0.00	16%	23 Aug →
ancient	13–6	0.10	7%	23 Aug →
mirage	8–13	-0.00	23%	22 Aug →
nuke	6–13	0.01	16%	22 Aug →
anubis	13–6	0.01	11%	22 Aug →
nuke	12–16	-0.03	15%	22 Aug →
inferno	13–6	0.09	7%	22 Aug →
anubis	9–13	0.03	15%	22 Aug →
mirage	5–13	0.07	32%	22 Aug →
cache	9–13	-0.03	13%	21 Aug →
dust2	13–11	-0.03	17%	21 Aug →
nuke	13–8	0.04	13%	21 Aug →
anubis	13–1	0.10	17%	21 Aug →
anubis	13–8	0.01	5%	21 Aug →
ancient	13–5	-0.02	7%	21 Aug →
mirage	2–9	-0.00	10%	21 Aug →
mirage	13–9	0.04	23%	21 Aug →
cache	13–9	-0.07	13%	21 Aug →
ancient	8–13	-0.03	10%	21 Aug →
nuke	13–8	0.03	16%	21 Aug →
ancient	13–11	0.01	11%	21 Aug →
mirage	13–6	-0.03	13%	21 Aug →
cache	16–14	-0.06	9%	19 Aug →
inferno	13–5	0.01	10%	19 Aug →
ancient	13–2	-0.07	4%	19 Aug →
inferno	8–13	-0.04	15%	19 Aug →
nuke	13–1	0.11	16%	19 Aug →
nuke	2–9	-0.12	8%	19 Aug →
mirage	13–7	0.04	16%	18 Aug →
mirage	13–9	0.01	10%	18 Aug →
mirage	13–8	0.10	15%	18 Aug →
nuke	10–13	0.03	15%	18 Aug →
inferno	13–3	0.04	31%	18 Aug →
nuke	10–13	-0.00	15%	18 Aug →
ancient	8–13	0.02	13%	18 Aug →
dust2	13–8	0.15	17%	18 Aug →
inferno	13–9	0.10	19%	18 Aug →
mirage	6–13	-0.06	18%	18 Aug →
nuke	13–4	0.15	16%	18 Aug →
inferno	4–13	-0.04	12%	18 Aug →
cache	10–13	-0.03	5%	17 Aug →
mirage	13–11	0.05	26%	17 Aug →
nuke	15–15	0.00	24%	17 Aug →
cache	11–13	0.01	13%	17 Aug →
mirage	13–11	-0.03	13%	17 Aug →
inferno	8–4	-0.05	28%	17 Aug →
nuke	11–13	0.02	13%	17 Aug →
ancient	13–7	0.03	18%	17 Aug →
nuke	7–13	0.02	11%	17 Aug →
nuke	7–13	-0.04	9%	14 Aug →
mirage	8–13	-0.01	8%	13 Aug →
mirage	13–7	-0.01	12%	12 Aug →
cache	3–13	-0.11	13%	5 Aug →
ancient	10–13	-0.01	15%	29 Jul →
nuke	6–13	-0.05	5%	29 Jul →
mirage	9–13	-0.01	16%	2 Jun →
anubis	16–14	0.04	14%	28 May →
ancient	5–13	-0.08	11%	20 May →
nuke	2–10	-0.09	8%	19 May →
mirage	9–13	-0.06	13%	18 May →
inferno	3–13	-0.08	19%	17 May →
nuke	13–10	0.02	17%	17 May →
mirage	13–7	-0.05	10%	17 May →
ancient	4–13	0.01	15%	11 May →
nuke	4–13	-0.01	5%	11 May →
overpass	8–13	-0.04	13%	4 May →
ancient	2–13	-0.12	5%	4 May →
nuke	16–12	-0.00	10%	2 May →
ancient	5–13	0.02	17%	29 Apr →
dust2	7–13	-0.02	17%	29 Apr →
inferno	9–13	-0.06	6%	28 Apr →
mirage	13–9	-0.00	5%	25 Apr →
nuke	11–13	0.04	18%	25 Apr →
train	6–0	0.01	25%	25 Apr →
train	13–4	0.09	21%	25 Apr →
anubis	7–13	0.02	11%	15 Apr →
mirage	16–12	0.00	9%	15 Apr →
nuke	5–13	-0.04	4%	15 Apr →
inferno	7–13	-0.06	10%	15 Apr →
mirage	11–13	0.01	20%	12 Apr →
inferno	2–13	-0.08	9%	10 Apr →
nuke	11–13	-0.07	12%	6 Apr →
inferno	4–13	-0.08	11%	6 Apr →
ancient	11–13	-0.00	10%	31 Mar →
nuke	13–9	-0.06	17%	30 Mar →
mirage	13–10	-0.01	18%	30 Mar →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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