sheen — CS2 Stats

76561198040904980[U:1:80639252]Steam profile ↗✓ No bans

933Tracked matches37%Win rate2023Tracked since

1,226Hours in CS2Hrs last 2 wks

CSDB Rating4.5 Developing

Ladder ranks via Leetify

Performance scores

Aim51

Positioning48

Utility58

0–100 skill scores via Leetify.

Recent form

COLD37–48–15Last 10037%Win rateWLTWLLWLLL

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

Player DNA

Aim5.1

Aggression5.0

Utility5.8

Positioning4.8

Opening Duels0.6

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 NiKo 85% 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

Reaction time. 618ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim5.1

Positioning4.8

Utility5.8

Mechanics6.4

Opening Duels1.0

Win Impact0.7

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time617ms−4ms

first ⅓ avg 621ms → last ⅓ avg 617ms

Headshot accuracy10.8%−2.3%

first ⅓ avg 13.1% → last ⅓ avg 10.8%

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

0.11Best rating — overpass 12–12

13–1Biggest win — warden

4Longest win streak

3–4In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 60% over 5dust2Weakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	16	9–7	56%	0.01
alpine	D	12	4–8	33%	0.01
dust2	D	8	1–7	13%	0.02
office	C	8	3–5	38%	0.02
italy	D	6	2–4	33%	-0.01
nuke	D	6	2–4	33%	0.01
overpass	D	6	2–4	33%	-0.01
inferno	A	5	3–2	60%	0.03
mirage	—	4	1–3	25%	0.01
stronghold	—	4	2–2	50%	0.02
warden	—	4	2–2	50%	0.00
ancient	—	4	1–3	25%	-0.00
vertigo	—	4	2–2	50%	0.01
anubis	—	3	2–1	67%	0.04
fachwerk	—	2	0–2	0%	0.04
golden	—	2	0–2	0%	0.01
agency	—	2	0–2	0%	0.06
boulder	—	1	1–0	100%	-0.00
shelter	—	1	0–1	0%	-0.02
palacio	—	1	0–1	0%	-0.06
train	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

38,196Lifetime kills

0.86K/D

2,481Matches

34.7%Match win rate

38.6%Headshot %

2.3%Shot accuracy

2,990MVPs

832Hours (in match)

1,426Bombs planted

393Bombs defused

Most-used weapons

AK-4710,735

M4A4 / M4A1-S9,752

P2000 / USP-S1,722

XM10141,592

AWP1,560

Glock-181,496

Galil AR1,246

Desert Eagle1,030

MP9767

FAMAS734

Lifetime map wins

2,697dust2

2,302office

1,961inferno

1,839nuke

1,254vertigo

738train

125italy

39ar_shoots

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.

10.6%Headshot accuracy

34.3%Accuracy (enemy spotted)

34.7%Spray accuracy

78.8%Counter-strafing

10.7°Preaim

618msReaction time

38.1%T opening success

26.8%CT opening success

0.61Enemies flashed / flash

7.3%Flash assists

10.46HE damage / grenade

10.58Flashes / 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 10.6049% — below the 15% mark we flag
Aim Training →
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 38.0952% — 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.

13% win rate across 8 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
mirage	13–10	0.06	10%	23 Aug →
italy	10–13	-0.01	14%	23 Aug →
fachwerk	12–12	0.06	11%	11 Jul →
boulder	13–8	-0.00	17%	10 Jul →
shelter	6–13	-0.02	23%	10 Jul →
fachwerk	10–13	0.01	12%	10 Jul →
stronghold	13–7	0.03	6%	14 Jun →
italy	3–13	-0.08	6%	13 Jun →
warden	11–13	-0.02	5%	13 Jun →
inferno	0–13	-0.07	10%	12 Jun →
nuke	9–13	0.05	11%	12 Jun →
nuke	4–13	-0.07	0%	8 Jun →
dust2	9–13	-0.03	12%	25 May →
alpine	4–13	-0.03	7%	25 May →
office	13–8	0.05	5%	24 May →
anubis	13–7	0.06	12%	24 May →
alpine	13–3	0.01	19%	24 May →
ancient	13–6	-0.01	5%	24 May →
cache	7–13	-0.03	9%	23 May →
overpass	7–13	-0.08	2%	23 May →
cache	13–5	0.07	9%	21 May →
dust2	3–13	-0.02	9%	21 May →
ancient	9–13	-0.00	18%	21 May →
inferno	13–9	0.08	11%	14 May →
dust2	1–13	-0.04	8%	13 May →
nuke	12–12	0.03	5%	13 May →
cache	5–13	-0.03	16%	10 May →
vertigo	4–13	0.01	18%	10 May →
inferno	13–7	0.01	5%	9 May →
cache	12–12	0.05	20%	9 May →
italy	5–10	-0.04	15%	9 May →
cache	6–13	0.02	11%	8 May →
cache	13–8	-0.01	15%	8 May →
overpass	7–13	-0.03	8%	8 May →
cache	13–9	-0.04	6%	8 May →
cache	12–12	0.05	7%	8 May →
nuke	13–3	-0.03	9%	7 May →
overpass	13–7	0.00	14%	7 May →
cache	13–7	0.04	11%	6 May →
cache	8–13	-0.00	10%	5 May →
cache	13–7	0.04	8%	2 May →
cache	13–4	0.05	6%	2 May →
cache	10–5	-0.03	10%	2 May →
alpine	12–12	0.03	11%	2 May →
cache	13–10	-0.03	8%	2 May →
cache	13–8	-0.01	12%	29 Apr →
cache	5–13	-0.04	10%	29 Apr →
vertigo	10–13	0.01	5%	27 Apr →
warden	10–13	-0.01	2%	27 Apr →
overpass	9–13	-0.01	8%	26 Apr →
stronghold	13–10	0.09	15%	26 Apr →
dust2	10–13	-0.00	13%	26 Apr →
vertigo	13–6	-0.00	4%	24 Apr →
anubis	8–13	0.01	7%	22 Apr →
alpine	3–13	-0.02	19%	22 Apr →
office	12–12	0.06	7%	22 Apr →
mirage	12–12	-0.07	7%	22 Apr →
alpine	9–13	-0.05	17%	19 Apr →
dust2	3–13	0.03	13%	18 Apr →
overpass	12–12	0.11	12%	18 Apr →
mirage	7–13	0.08	9%	18 Apr →
nuke	13–11	0.09	5%	18 Apr →
office	12–12	0.02	9%	18 Apr →
ancient	6–13	0.01	17%	18 Apr →
office	7–13	0.01	11%	16 Apr →
alpine	5–13	0.01	7%	16 Apr →
nuke	11–13	-0.02	8%	15 Apr →
dust2	10–13	0.11	20%	15 Apr →
office	12–12	-0.03	4%	14 Apr →
ancient	5–13	-0.01	3%	13 Apr →
mirage	11–13	-0.02	13%	12 Apr →
dust2	13–5	0.09	22%	23 Mar →
italy	12–12	0.05	8%	23 Mar →
alpine	13–10	0.06	8%	23 Mar →
stronghold	8–13	-0.01	7%	23 Mar →
office	13–9	0.03	11%	21 Mar →
alpine	13–4	-0.04	25%	21 Mar →
anubis	13–3	0.04	9%	21 Mar →
inferno	13–2	0.05	11%	7 Mar →
dust2	10–13	-0.00	10%	7 Mar →
vertigo	13–11	0.02	7%	1 Mar →
inferno	12–12	0.08	8%	1 Mar →
office	13–3	0.08	10%	21 Feb →
office	10–13	-0.06	2%	25 Jan →
alpine	5–13	0.02	12%	25 Jan →
warden	13–1	0.00	3%	25 Jan →
alpine	12–12	0.07	9%	25 Jan →
alpine	13–6	-0.00	13%	24 Jan →
stronghold	11–13	-0.02	5%	24 Jan →
alpine	10–13	-0.00	11%	24 Jan →
warden	13–6	0.03	5%	24 Jan →
overpass	13–11	-0.03	5%	19 Jan →
golden	0–3	0.04	100%	19 Jan →
agency	9–13	0.07	16%	18 Jan →
golden	12–12	-0.03	7%	18 Jan →
italy	13–9	0.02	14%	18 Jan →
agency	12–12	0.06	16%	18 Jan →
italy	13–2	0.02	11%	18 Jan →
palacio	3–13	-0.06	11%	18 Jan →
train	1–6	0.03	19%	18 Jan →