dehy — CS2 Stats

76561198885929107[U:1:925663379]Steam profile ↗✓ No bans

2,480Tracked matches40%Win rate2021Tracked since

3,248Hours in CS22Hrs last 2 wks

CSDB Rating6.2 SolidHybrid Rifler

Premier CS Rating27,057Top 25% of 819 CSDB-tracked playersRed band · top ~2% of ranked players (population est.)

CSDB Leaderboard#804 of 15240 tracked

FaceitLevel 10 · 2,287 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median
Headshot rate	61.2%	52.8%
Shot accuracy	7.3%	13.7%
Kill/death ratio	2.05	1.08
Match win rate	57.6%	49.2%

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Performance scores

Aim91

Positioning49

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY53–45–2Last 10053%Win rateWLWLWWWLLL

Last 10 vs previous 10: +20pp win rate · -0.00 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim9.1

Aggression5.7

Utility4.8

Positioning4.9

Opening Duels1.3

Clutch4.4

Sharp aimer

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 91% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution.

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 91 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 42 points — deaths here waste a strong aim profile.

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

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

Aim9.1

Positioning4.9

Utility4.8

Mechanics7.5

Opening Duels1.4

Win Impact1.7

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.05

first ⅓ avg 0.05 → last ⅓ avg 0.00

Reaction time491ms−36ms

first ⅓ avg 527ms → last ⅓ avg 491ms

Headshot accuracy21.5%−3.4%

first ⅓ avg 24.8% → last ⅓ avg 21.5%

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

0.16Best rating — overpass 13–5

13–2Biggest win — anubis

7Longest win streak

2–8In matches decided by ≤2 rounds

4Overtime games

Map breakdown

infernoBest map · 70% over 20ancientWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
inferno	S	20	14–6	70%	0.02
nuke	A	14	8–6	57%	0.02
ancient	C	13	5–8	38%	-0.01
anubis	B	13	6–7	46%	0.02
cache	A	13	8–5	62%	0.04
mirage	B	12	6–6	50%	0.00
vertigo	C	12	5–7	42%	0.04
overpass	—	2	1–1	50%	0.05
dust2	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

176,577Lifetime kills

2.05K/D · Top 1% of Level 10 players

4,421Matches

57.6%Match win rate · Top 5% of Level 10 players

61.2%Headshot % · Top 25% of Level 10 players

7.3%Shot accuracy

11,219MVPs

3,009Hours (in match)

2,899Bombs planted

1,632Bombs defused

Most-used weapons

AK-4790,832

AWP23,841

M4A4 / M4A1-S19,148

Desert Eagle17,589

P2000 / USP-S6,458

Glock-184,164

Galil AR2,463

FAMAS1,208

SSG 081,202

Five-SeveN1,095

Lifetime map wins

7,859nuke

4,645vertigo

3,658dust2

2,607inferno

1,108train

592italy

357office

163lake

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

Faceit stats

Combat

594Matches

54%Win rate

1.19Avg K/D

79.9ADR

45%Headshot %

Clutches & streaks

42%1v1 clutch win

22%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	126	52%	1.25	16.4
Ancient	106	51%	1.13	16.4
Mirage	95	59%	1.15	15.9
Dust2	65	37%	1.04	15.7
Inferno	64	58%	1.19	15.8
Nuke	47	60%	1.24	17.5
Overpass	30	63%	1.45	17.4
Vertigo	29	69%	1.25	17.8

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.

20.5%Headshot accuracy

38.6%Accuracy (enemy spotted)

40.4%Spray accuracy

83.7%Counter-strafing

7.4°Preaim

495msReaction time

41.5%T opening success

28.9%CT opening success

0.48Enemies flashed / flash

7.4%Flash assists

6.99HE damage / grenade

6.82Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4783 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 28.9341% — below the 40% mark we flag

Spend your practice time on Ancient

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–9	0.02	21%	27 Aug →
ancient	6–13	-0.04	5%	25 Aug →
inferno	13–9	0.03	40%	25 Aug →
mirage	8–13	0.00	14%	25 Aug →
anubis	13–4	0.06	14%	25 Aug →
mirage	13–9	-0.02	19%	23 Aug →
inferno	13–4	0.04	21%	23 Aug →
anubis	0–13	-0.01	67%	23 Aug →
anubis	6–13	-0.04	25%	23 Aug →
cache	8–13	-0.05	12%	23 Aug →
mirage	7–13	-0.04	28%	23 Aug →
mirage	12–16	0.03	29%	23 Aug →
anubis	13–9	0.02	11%	23 Aug →
inferno	13–9	0.10	27%	22 Aug →
anubis	13–2	0.05	27%	22 Aug →
inferno	9–13	-0.07	0%	22 Aug →
inferno	11–13	-0.04	16%	21 Aug →
anubis	10–13	0.00	23%	16 Aug →
inferno	5–13	-0.00	23%	16 Aug →
ancient	9–13	-0.03	20%	16 Aug →
inferno	13–3	0.00	27%	16 Aug →
nuke	7–13	0.08	15%	13 Aug →
cache	5–0	0.07	29%	13 Aug →
vertigo	1–13	-0.01	46%	13 Aug →
nuke	8–7	0.04	28%	10 Aug →
vertigo	4–13	-0.00	16%	10 Aug →
ancient	11–13	-0.02	9%	9 Aug →
anubis	8–13	-0.03	9%	9 Aug →
mirage	13–9	-0.01	14%	9 Aug →
mirage	11–13	0.01	25%	9 Aug →
nuke	6–13	-0.05	16%	9 Aug →
inferno	9–13	-0.06	24%	8 Aug →
anubis	6–13	-0.01	9%	8 Aug →
mirage	8–13	-0.02	22%	8 Aug →
inferno	13–8	0.02	15%	8 Aug →
inferno	3–13	-0.03	26%	8 Aug →
mirage	13–3	0.03	12%	8 Aug →
anubis	7–13	-0.00	14%	8 Aug →
nuke	5–13	-0.11	18%	8 Aug →
anubis	13–4	-0.02	15%	8 Aug →
vertigo	7–13	0.02	15%	7 Aug →
mirage	16–19	-0.01	18%	6 Aug →
nuke	13–9	0.02	22%	6 Aug →
ancient	13–4	0.06	11%	5 Aug →
cache	1–13	-0.02	29%	5 Aug →
nuke	13–8	0.07	20%	5 Aug →
inferno	13–5	-0.01	0%	5 Aug →
ancient	9–13	-0.02	22%	5 Aug →
ancient	2–13	-0.05	33%	5 Aug →
cache	13–4	0.06	13%	5 Aug →
cache	13–8	0.01	14%	5 Aug →
nuke	13–2	0.02	15%	5 Aug →
cache	13–4	0.11	30%	4 Aug →
ancient	13–6	0.01	17%	4 Aug →
inferno	13–7	0.11	17%	4 Aug →
ancient	14–16	-0.02	14%	4 Aug →
ancient	13–8	0.02	8%	4 Aug →
inferno	13–7	0.03	17%	4 Aug →
cache	13–7	0.03	32%	4 Aug →
nuke	8–13	-0.01	24%	4 Aug →
dust2	8–13	-0.05	32%	4 Aug →
inferno	10–13	-0.02	27%	3 Aug →
inferno	13–7	0.06	18%	3 Aug →
inferno	13–3	-0.03	18%	3 Aug →
ancient	13–7	-0.00	12%	3 Aug →
vertigo	13–8	0.01	13%	3 Aug →
nuke	13–5	0.05	23%	3 Aug →
vertigo	13–8	0.08	16%	2 Aug →
cache	12–12	0.07	21%	2 Aug →
vertigo	12–12	-0.02	18%	2 Aug →
cache	13–6	0.06	18%	1 Aug →
inferno	13–6	0.01	60%	1 Aug →
ancient	11–13	-0.03	11%	1 Aug →
nuke	11–13	0.01	22%	1 Aug →
mirage	13–8	-0.01	19%	1 Aug →
cache	13–8	0.03	30%	1 Aug →
vertigo	11–2	0.11	23%	1 Aug →
mirage	13–10	0.05	25%	31 Jul →
mirage	19–16	0.04	31%	31 Jul →
inferno	13–4	0.06	27%	31 Jul →
anubis	3–13	-0.03	20%	31 Jul →
cache	5–13	0.04	29%	31 Jul →
nuke	11–13	-0.03	29%	31 Jul →
vertigo	6–13	-0.04	30%	31 Jul →
inferno	13–3	0.16	34%	30 Jul →
anubis	13–5	0.15	42%	30 Jul →
vertigo	7–13	0.08	19%	29 Jul →
vertigo	6–13	0.12	23%	24 Jul →
cache	5–13	0.02	18%	4 Jul →
cache	13–2	0.09	67%	4 Jul →
vertigo	13–4	0.14	25%	4 Jul →
ancient	11–13	-0.00	16%	3 Jul →
overpass	1–13	-0.06	21%	3 Jul →
vertigo	13–10	-0.02	16%	3 Jul →
nuke	13–7	0.13	28%	2 Jul →
nuke	13–9	-0.01	20%	2 Jul →
ancient	13–2	0.04	10%	27 Jun →
nuke	13–11	0.05	17%	27 Jun →
anubis	13–4	0.06	12%	27 Jun →
overpass	13–5	0.16	22%	27 Jun →