D ק ק ߍ н — CS2 Stats

ID76561198818133167[U:1:857867439]Steam profile ↗

2,458Tracked matches53%Win rate2020Tracked since

4,831Hours in CS11Hrs last 2 wks

CSDB Rating6.4 SolidHybrid Rifler

Premier CS Rating23,717Top 25% of 29,473 CSDB-tracked playersPink band · top ~4.4% of ranked players (population est.)

CSDB Leaderboard#9712 of 53310 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=1,711), 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 4 median	Level 5 median	vs Level 5
Headshot rate	30.0%	42.7%	44.0%	14.0% short
Shot accuracy	22.2%	10.8%	11.6%	above
Kill/death ratio	1.41	1.00	1.03	above
Match win rate	48.0%	44.1%	45.1%	above

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim68

Positioning63

Utility69

0–100 skill scores via Leetify.

Recent form

STEADY54–44–2Last 10054%Win rateWWLWWLWLLW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating

Player DNA

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

Aim6.8

Aggression6.4

Utility6.9

Positioning6.3

Opening Duels3.4

Strong CT-side openerEffective flashes

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: positioning profile, 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

Strengths

CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 65% on CT to 23% 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

Aim6.8

Positioning6.3

Utility6.9

Mechanics6.0

Opening Duels4.3

Win Impact6.1

Composite 6.4/10 (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 rating0.03+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time531ms−28ms

first ⅓ avg 559ms → last ⅓ avg 531ms

Headshot accuracy12.7%−2.8%

first ⅓ avg 15.5% → last ⅓ avg 12.7%

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

0.19Best rating — inferno 13–11

13–2Biggest win — mirage

6Longest win streak

W2Current streak

11–4In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 64% over 14ancientWeakest map · 43% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	44	24–20	55%	0.02
inferno	A	24	14–10	58%	0.04
anubis	A	14	9–5	64%	0.02
ancient	C	7	3–4	43%	0.01
overpass	B	6	3–3	50%	0.02
cache	—	4	1–3	25%	-0.00
dust2	—	1	0–1	0%	0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

163,079Lifetime kills

1.41K/D · Top 5% of Level 4 players

6,509Matches

48.0%Match win rate · Top 25% of Level 4 players

30.0%Headshot %

22.2%Shot accuracy · Top 1% of Level 4 players

17,826MVPs

3,187Hours (in match)

2,884Bombs planted

1,523Bombs defused

Most-used weapons

AWP44,613

AK-4737,796

M4A4 / M4A1-S19,463

Desert Eagle9,323

P2000 / USP-S7,702

Glock-186,364

SSG 084,176

MAC-103,505

MP93,206

MP72,942

Lifetime map wins

14,255inferno

1,934nuke

1,646dust2

1,110train

541vertigo

322cbble

301office

107lake

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

Faceit stats

Combat

21Matches

57%Win rate

1.35Avg K/D

—ADR

28%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

6Longest win streak

Recent Faceit resultsWWWWW

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.

12.7%Headshot accuracy

35.5%Accuracy (enemy spotted)

38.8%Spray accuracy

76.9%Counter-strafing

10.1°Preaim

524msReaction time

22.8%T opening success

64.6%CT opening success

0.72Enemies flashed / flash

2.3%Flash assists

14.98HE damage / grenade

7.17Flashes / 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 12.6782% — 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 22.8319% — 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.

43% win rate across 7 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	13–11	0.05	16%	27 Aug →
inferno	13–11	0.19	22%	27 Aug →
mirage	5–13	0.02	8%	27 Aug →
mirage	13–11	0.04	14%	19 Aug →
anubis	13–10	0.05	7%	19 Aug →
inferno	9–13	0.04	7%	19 Aug →
anubis	13–5	0.07	15%	19 Aug →
ancient	4–13	0.02	17%	19 Aug →
ancient	6–13	0.00	18%	19 Aug →
mirage	13–11	-0.02	14%	18 Aug →
ancient	7–13	-0.01	6%	18 Aug →
anubis	8–13	-0.00	12%	18 Aug →
mirage	13–4	0.06	15%	18 Aug →
mirage	13–9	0.09	11%	12 Aug →
inferno	11–13	-0.02	16%	12 Aug →
mirage	13–10	0.02	8%	12 Aug →
anubis	9–13	-0.00	7%	5 Aug →
ancient	16–13	0.01	10%	5 Aug →
mirage	13–9	0.11	8%	5 Aug →
ancient	9–13	-0.04	9%	31 Jul →
ancient	16–14	0.02	12%	31 Jul →
inferno	10–13	-0.07	11%	31 Jul →
mirage	13–3	0.01	14%	31 Jul →
mirage	6–13	-0.06	11%	29 Jul →
mirage	13–8	0.11	13%	29 Jul →
anubis	1–13	0.03	30%	29 Jul →
inferno	8–13	0.04	15%	22 Jul →
inferno	3–0	0.05	0%	22 Jul →
inferno	4–13	0.03	23%	22 Jul →
mirage	13–3	0.00	11%	22 Jul →
mirage	10–13	0.00	7%	21 Jul →
anubis	13–11	0.03	19%	21 Jul →
inferno	13–7	0.05	13%	21 Jul →
ancient	13–6	0.05	19%	16 Jul →
mirage	15–15	0.04	19%	16 Jul →
cache	5–13	-0.03	27%	16 Jul →
mirage	13–5	0.07	9%	16 Jul →
inferno	2–13	-0.08	16%	16 Jul →
anubis	13–9	-0.02	11%	13 Jul →
inferno	4–13	-0.02	13%	13 Jul →
mirage	13–2	-0.04	0%	13 Jul →
cache	8–13	-0.01	11%	13 Jul →
mirage	3–13	-0.06	22%	13 Jul →
cache	2–13	0.03	16%	13 Jul →
mirage	13–9	0.04	16%	11 Jul →
mirage	5–13	0.05	23%	11 Jul →
inferno	13–9	0.10	18%	11 Jul →
mirage	13–6	0.05	13%	11 Jul →
inferno	13–9	0.03	19%	8 Jul →
mirage	13–3	0.08	37%	8 Jul →
mirage	13–10	0.02	15%	8 Jul →
inferno	13–6	0.08	15%	6 Jul →
mirage	7–13	0.05	2%	6 Jul →
mirage	5–13	0.03	25%	1 Jul →
mirage	13–11	0.08	16%	1 Jul →
mirage	13–8	0.07	14%	1 Jul →
inferno	13–11	0.05	14%	30 Jun →
mirage	4–13	-0.07	7%	30 Jun →
mirage	10–13	0.04	19%	24 Jun →
anubis	15–15	0.02	15%	24 Jun →
mirage	11–13	-0.06	21%	24 Jun →
inferno	13–6	0.01	2%	24 Jun →
inferno	16–12	0.07	23%	18 Jun →
mirage	10–13	-0.05	7%	18 Jun →
inferno	13–16	0.03	13%	18 Jun →
mirage	16–14	0.02	19%	18 Jun →
mirage	4–13	-0.04	10%	11 Jun →
anubis	13–6	-0.01	11%	11 Jun →
anubis	12–2	0.03	12%	11 Jun →
inferno	13–7	0.11	20%	9 Jun →
overpass	13–8	0.04	10%	9 Jun →
mirage	6–13	-0.02	17%	9 Jun →
mirage	13–8	0.05	30%	27 May →
inferno	13–3	0.08	32%	27 May →
overpass	13–8	0.03	15%	27 May →
inferno	9–13	0.06	9%	27 May →
dust2	11–13	0.07	14%	21 May →
mirage	13–7	0.13	24%	21 May →
inferno	13–6	0.06	5%	21 May →
mirage	11–13	-0.04	11%	13 May →
mirage	16–12	-0.00	14%	13 May →
inferno	10–13	-0.02	13%	13 May →
overpass	8–13	-0.03	18%	7 May →
mirage	13–8	0.02	21%	7 May →
mirage	2–13	0.08	21%	7 May →
mirage	6–13	-0.02	9%	2 May →
overpass	13–10	0.03	13%	2 May →
anubis	13–5	0.07	10%	2 May →
mirage	10–13	-0.02	12%	2 May →
overpass	7–13	0.08	13%	2 May →
anubis	13–10	0.03	17%	30 Apr →
cache	13–11	0.00	19%	30 Apr →
mirage	13–11	0.10	15%	30 Apr →
anubis	13–9	-0.01	17%	30 Apr →
mirage	10–13	-0.01	9%	23 Apr →
inferno	13–9	0.05	17%	23 Apr →
anubis	5–13	-0.04	24%	23 Apr →
mirage	13–9	-0.01	14%	23 Apr →
mirage	5–13	-0.03	13%	23 Apr →
overpass	8–13	-0.01	15%	19 Apr →