xZoKe — CS2 Stats

76561198372427876[U:1:412162148]Steam profile ↗

2,237Tracked matches62%Win rate2020Tracked since

3,493Hours in CS15Hrs last 2 wks

CSDB Rating6.4 SolidHybrid Rifler

Premier CS Rating23,842Top 50% of 17,162 CSDB-tracked playersPink band · top ~4.3% of ranked players (population est.)

CSDB Leaderboard#5824 of 30425 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,146), 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	45.9%	47.2%	49.0%	3.1% short
Shot accuracy	13.9%	12.3%	13.1%	above
Kill/death ratio	0.88	1.07	1.08	0.20 short
Match win rate	36.3%	46.3%	46.9%	10.6% short

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

Widest gap: Match win rate. 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

Aim69

Positioning55

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY54–42–4Last 10054%Win rateLTWWWWWLWL

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

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

Aim6.9

Aggression6.9

Utility5.2

Positioning5.5

Opening Duels3.9

Clutch3.6

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 ropz 90% 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

T-side openings. Opening success drops from 55% on CT to 36% 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

Aim6.9

Positioning5.5

Utility5.2

Mechanics6.6

Opening Duels3.9

Win Impact9.0

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 rating-0.01−0.03

first ⅓ avg 0.02 → last ⅓ avg -0.01

Reaction time543ms−88ms

first ⅓ avg 631ms → last ⅓ avg 543ms

Headshot accuracy16.0%−0.0%

first ⅓ avg 16.1% → last ⅓ avg 16.0%

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 — cache 13–0

13–0Biggest win — cache

6Longest win streak

13–6In matches decided by ≤2 rounds

13Overtime games

Map breakdown

cacheBest map · 62% over 26anubisWeakest map · 50% over 12

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	26	16–10	62%	0.01
inferno	B	21	11–10	52%	0.01
ancient	B	21	11–10	52%	-0.01
anubis	B	12	6–6	50%	-0.01
dust2	B	8	4–4	50%	0.01
nuke	A	7	4–3	57%	-0.02
mirage	—	3	1–2	33%	0.04
overpass	—	2	1–1	50%	0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (50% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

153,278Lifetime kills

0.88K/D

5,919Matches

36.3%Match win rate

45.9%Headshot %

13.9%Shot accuracy · Top 50% of Level 8 players

12,163MVPs

7,163Hours (in match)

5,080Bombs planted

1,786Bombs defused

Most-used weapons

AK-4776,242

M4A4 / M4A1-S28,105

Desert Eagle7,781

P2000 / USP-S7,077

AWP6,585

Galil AR4,027

Glock-183,658

FAMAS2,998

MP92,150

P2501,977

Lifetime map wins

12,587inferno

9,277dust2

2,158vertigo

2,073nuke

1,816lake

1,527train

290cbble

26safehouse

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

Faceit stats

Combat

630Matches

52%Win rate

1.01Avg K/D

76.1ADR

40%Headshot %

Clutches & streaks

38%1v1 clutch win

23%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	63	57%	0.94	14.0
Anubis	55	56%	1.00	16.2
Dust2	48	35%	0.89	13.8
Mirage	43	42%	0.98	14.4
Inferno	39	51%	1.25	15.3
Vertigo	35	60%	0.84	12.2
Nuke	33	45%	0.86	12.8
Cache	19	74%	1.14	16.6

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.

16.2%Headshot accuracy

34.7%Accuracy (enemy spotted)

32.6%Spray accuracy

79.6%Counter-strafing

9.6°Preaim

541msReaction time

35.8%T opening success

55.1%CT opening success

0.59Enemies flashed / flash

7.0%Flash assists

11.04HE damage / grenade

7.21Flashes / 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 35.7971% — below the 40% mark we flag

Recent matches

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

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

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