Sleepy — CS2 Stats

76561198033736693[U:1:73470965]Steam profile ↗VAC banned

1,813Tracked matches47%Win rate2020Tracked since

6,365Hours in CS28Hrs last 2 wks

CSDB Rating5.7 SolidAggressive Rifler

Premier CS Rating24,437Top 25% of 29,473 CSDB-tracked playersPink band · top ~3.6% of ranked players (population est.)

CSDB Leaderboard#8351 of 56333 tracked

FaceitLevel 8 · 1,956 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,966), 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 8 median	Level 9 median	vs Level 9
Headshot rate	42.4%	47.0%	48.5%	6.1% short
Shot accuracy	13.5%	12.7%	13.3%	meets
Kill/death ratio	0.91	1.07	1.07	0.16 short
Match win rate	45.6%	46.4%	47.0%	1.4% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim70

Positioning51

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY50–44–6Last 10050%Win rateLLWWWLWLWW

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

Player DNA

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

Aim7.0

Aggression7.4

Utility6.1

Positioning5.1

Opening Duels4.4

Clutch3.8

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 iM 91% playstyle similarity

Most alike: utility contribution, opening-duel success.

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 56% on CT to 39% 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

Aim7.0

Positioning5.1

Utility6.1

Mechanics4.6

Opening Duels4.4

Win Impact3.9

Composite 5.7/10 (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 rating-0.01−0.00

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time550ms−64ms

first ⅓ avg 614ms → last ⅓ avg 550ms

Headshot accuracy22.2%−2.2%

first ⅓ avg 24.4% → last ⅓ avg 22.2%

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 — nuke 13–6

13–1Biggest win — inferno

7Longest win streak

L2Current streak

5–7In matches decided by ≤2 rounds

13Overtime games

Map breakdown

mirageBest map · 69% over 13dust2Weakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	24	13–11	54%	-0.00
ancient	C	18	8–10	44%	-0.00
cache	C	17	7–10	41%	-0.03
nuke	B	16	8–8	50%	0.00
mirage	S	13	9–4	69%	-0.02
dust2	D	6	1–5	17%	-0.01
anubis	A	5	3–2	60%	-0.00
overpass	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

132,880Lifetime kills

0.91K/D

7,040Matches

45.6%Match win rate

42.4%Headshot %

13.5%Shot accuracy · Top 50% of Level 8 players

15,635MVPs

3,628Hours (in match)

8,154Bombs planted

1,789Bombs defused

Most-used weapons

AK-4738,837

AWP21,414

M4A4 / M4A1-S16,443

Desert Eagle14,364

P2000 / USP-S6,663

Glock-184,972

SSG 083,276

P2503,146

Tec-92,485

Five-SeveN2,249

Lifetime map wins

19,180inferno

9,060nuke

7,409dust2

2,088train

1,270cbble

752vertigo

438office

84aztec

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

Faceit stats

Combat

1,274Matches

51%Win rate

0.94Avg K/D

79.0ADR

47%Headshot %

Clutches & streaks

39%1v1 clutch win

21%1v2 clutch win

13Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	103	58%	1.05	15.3
Nuke	97	52%	1.07	15.8
Ancient	95	49%	1.08	15.2
Mirage	60	45%	1.00	15.7
Anubis	43	53%	1.05	15.3
Dust2	41	32%	0.97	16.1
Train	17	82%	1.13	17.8
Overpass	12	58%	1.01	15.4

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.

22.2%Headshot accuracy

31.5%Accuracy (enemy spotted)

31.4%Spray accuracy

70.6%Counter-strafing

7.7°Preaim

536msReaction time

38.7%T opening success

56.3%CT opening success

0.66Enemies flashed / flash

5.6%Flash assists

9.18HE damage / grenade

14.55Flashes / 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 38.6806% — below the 40% mark we flag

Spend your practice time on Dust 2

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	8–13	-0.02	32%	26 Aug →
cache	9–13	-0.04	23%	26 Aug →
nuke	13–6	0.12	17%	26 Aug →
mirage	13–10	-0.02	20%	26 Aug →
anubis	13–6	-0.02	29%	23 Aug →
dust2	10–13	0.02	28%	23 Aug →
inferno	13–6	0.06	29%	23 Aug →
nuke	6–13	-0.07	22%	23 Aug →
cache	13–6	0.03	19%	23 Aug →
inferno	13–11	-0.03	15%	21 Aug →
mirage	13–3	0.03	31%	21 Aug →
nuke	13–9	0.02	12%	20 Aug →
cache	6–13	-0.00	21%	19 Aug →
inferno	6–13	-0.05	23%	19 Aug →
nuke	6–13	-0.06	13%	19 Aug →
nuke	13–6	-0.01	25%	19 Aug →
ancient	10–13	0.03	14%	19 Aug →
cache	13–3	0.04	18%	19 Aug →
dust2	12–16	-0.02	28%	16 Aug →
ancient	13–5	0.02	13%	16 Aug →
nuke	12–16	-0.02	19%	14 Aug →
ancient	19–22	0.01	17%	14 Aug →
ancient	5–13	-0.05	29%	14 Aug →
inferno	13–1	0.07	25%	14 Aug →
dust2	10–13	-0.02	26%	14 Aug →
ancient	10–13	-0.03	17%	12 Aug →
ancient	8–13	0.00	29%	12 Aug →
cache	13–9	-0.02	24%	12 Aug →
ancient	13–9	0.02	29%	11 Aug →
inferno	11–13	0.02	26%	11 Aug →
mirage	13–8	-0.06	30%	11 Aug →
cache	1–5	-0.09	0%	11 Aug →
dust2	13–8	-0.02	31%	11 Aug →
ancient	13–9	0.01	20%	7 Aug →
cache	13–10	-0.04	36%	6 Aug →
mirage	13–6	0.00	28%	6 Aug →
ancient	8–13	-0.05	31%	6 Aug →
cache	9–13	-0.05	18%	6 Aug →
inferno	11–13	-0.01	26%	6 Aug →
ancient	8–13	-0.01	16%	6 Aug →
cache	8–13	-0.05	16%	6 Aug →
cache	4–13	-0.06	26%	6 Aug →
cache	9–13	-0.02	24%	4 Aug →
inferno	13–10	0.05	35%	4 Aug →
mirage	7–13	-0.08	28%	29 Jul →
anubis	4–13	0.02	14%	29 Jul →
mirage	13–11	0.02	25%	29 Jul →
inferno	6–13	-0.08	23%	26 Jul →
inferno	13–5	-0.05	26%	26 Jul →
inferno	5–13	-0.07	13%	26 Jul →
ancient	13–10	-0.04	32%	24 Jul →
mirage	15–15	0.01	21%	24 Jul →
inferno	13–6	0.00	26%	24 Jul →
inferno	9–13	-0.08	14%	24 Jul →
inferno	11–13	0.01	26%	21 Jul →
ancient	13–5	0.05	18%	21 Jul →
cache	13–6	-0.06	17%	21 Jul →
ancient	13–8	0.00	24%	21 Jul →
nuke	14–16	-0.06	26%	21 Jul →
inferno	15–15	0.02	28%	21 Jul →
nuke	13–10	-0.05	23%	12 Jul →
mirage	13–2	-0.02	22%	12 Jul →
cache	13–11	0.06	36%	12 Jul →
cache	16–12	-0.03	20%	9 Jul →
inferno	12–16	-0.01	23%	9 Jul →
mirage	13–5	-0.03	30%	9 Jul →
dust2	8–13	0.01	27%	8 Jul →
cache	5–13	0.01	27%	22 Jun →
nuke	13–10	0.03	47%	1 Jun →
nuke	2–13	0.05	30%	16 May →
ancient	13–10	0.09	30%	16 May →
cache	10–13	-0.04	26%	29 Apr →
cache	3–13	-0.09	14%	28 Apr →
anubis	15–15	-0.00	20%	27 Apr →
inferno	16–12	-0.07	20%	26 Apr →
overpass	13–7	-0.01	24%	26 Apr →
ancient	13–9	-0.01	23%	26 Apr →
nuke	13–7	0.07	15%	26 Apr →
anubis	13–11	0.00	22%	26 Apr →
inferno	13–10	0.01	24%	26 Apr →
inferno	13–3	0.05	24%	26 Apr →
mirage	6–13	-0.03	31%	25 Apr →
nuke	13–7	0.07	40%	25 Apr →
inferno	13–10	0.06	22%	21 Apr →
ancient	7–13	-0.07	20%	19 Apr →
mirage	13–5	-0.04	12%	19 Apr →
inferno	13–6	0.07	29%	19 Apr →
dust2	11–13	-0.03	27%	8 Apr →
nuke	13–9	0.01	29%	8 Apr →
mirage	13–9	-0.06	27%	7 Apr →
nuke	15–15	-0.02	24%	7 Apr →
inferno	13–5	0.02	31%	7 Apr →
nuke	11–13	0.00	18%	5 Apr →
mirage	15–15	-0.02	15%	5 Apr →
anubis	13–11	0.00	26%	5 Apr →
inferno	13–9	-0.03	27%	5 Apr →
nuke	8–13	-0.03	21%	5 Apr →
inferno	15–15	-0.05	27%	5 Apr →
ancient	11–13	-0.03	22%	4 Apr →
inferno	10–13	-0.01	13%	4 Apr →