z0nk — CS2 Stats

US76561198003473942[U:1:43208214]Steam profile ↗

400Tracked matches64%Win rate2020Tracked since

2,464Hours in CS

CSDB Rating6.9 SolidAggressive Rifler

Premier CS Rating25,107Top 25% of 819 CSDB-tracked playersRed band · top ~2.9% of ranked players (population est.)

CSDB Leaderboard#2769 of 19749 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim78

Positioning68

Utility38

0–100 skill scores via Leetify.

Recent form

STEADY53–42–5Last 10053%Win rateWWWWLWLLWL

Last 10 vs previous 10: +0pp win rate · -0.04 avg rating

Player DNA

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

Aim7.8

Aggression10.0

Utility3.8

Positioning6.8

Opening Duels4.6

Strong CT-side openerLimited utility dependence

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 sh1ro 90% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; 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

Areas to improve

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

T-side openings. Opening success drops from 57% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 569ms 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

Aim7.8

Positioning6.8

Utility3.8

Mechanics6.0

Opening Duels4.6

Win Impact9.8

Composite 6.9/10 (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 rating0.02−0.01

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time571ms−89ms

first ⅓ avg 660ms → last ⅓ avg 571ms

Headshot accuracy20.0%+0.4%

first ⅓ avg 19.6% → last ⅓ avg 20.0%

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

0.21Best rating — overpass 13–5

13–0Biggest win — train

7Longest win streak

W4Current streak

11–14In matches decided by ≤2 rounds

10Overtime games

Map breakdown

cacheBest map · 68% over 19infernoWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
cache	S	19	13–6	68%	0.03
dust2	C	18	8–10	44%	0.02
mirage	A	14	8–6	57%	0.01
ancient	A	14	8–6	57%	-0.01
inferno	D	13	4–9	31%	0.04
anubis	A	9	5–4	56%	0.03
nuke	B	8	4–4	50%	0.02
office	—	2	0–2	0%	0.09
overpass	—	2	2–0	100%	0.14
train	—	1	1–0	100%	0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

127,501Lifetime kills

1.07K/D · Top 50% of tracked players

1,898Matches

47.9%Match win rate · Top 50% of tracked players

42.4%Headshot %

19.9%Shot accuracy · Top 5% of tracked players

4,220MVPs

2,464Hours (in match)

3,502Bombs planted

1,350Bombs defused

Most-used weapons

AK-4752,755

AWP20,705

M4A4 / M4A1-S17,165

P2000 / USP-S5,286

Glock-184,273

Desert Eagle3,881

P2503,600

Five-SeveN2,344

P901,609

FAMAS1,607

Lifetime map wins

6,149inferno

5,730dust2

1,846nuke

1,804train

1,263cbble

313vertigo

182office

46dust

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

Faceit stats

Combat

37Matches

62%Win rate

1.79Avg K/D

—ADR

38%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWLL

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.

20.3%Headshot accuracy

35.4%Accuracy (enemy spotted)

40.0%Spray accuracy

77.2%Counter-strafing

8.6°Preaim

569msReaction time

40.0%T opening success

57.1%CT opening success

0.34Enemies flashed / flash

4.8%Flash assists

10.59HE damage / grenade

4.22Flashes / 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 0.3432 — below the 0.5 mark we flag
Grenade Lineups →
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 39.9676% — below the 40% mark we flag

Spend your practice time on Inferno

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–7	0.02	12%	12 Aug →
anubis	13–1	0.04	8%	12 Aug →
ancient	13–8	-0.04	15%	12 Aug →
dust2	13–3	0.04	14%	12 Aug →
ancient	5–13	-0.08	32%	12 Aug →
inferno	13–9	0.05	25%	11 Aug →
cache	5–13	-0.01	22%	11 Aug →
anubis	1–13	-0.08	17%	11 Aug →
nuke	13–2	0.12	27%	11 Aug →
dust2	3–7	-0.02	33%	11 Aug →
cache	13–8	0.03	16%	11 Aug →
ancient	11–13	-0.02	15%	10 Aug →
nuke	15–15	0.04	26%	9 Aug →
ancient	9–13	0.00	19%	31 Jul →
anubis	13–8	0.10	21%	31 Jul →
anubis	13–11	0.18	34%	30 Jul →
mirage	10–13	-0.05	21%	30 Jul →
mirage	13–9	-0.00	24%	30 Jul →
cache	13–11	0.01	26%	30 Jul →
inferno	13–8	0.11	28%	30 Jul →
inferno	11–13	-0.06	19%	28 Jul →
dust2	13–4	0.03	37%	28 Jul →
nuke	13–3	0.05	10%	28 Jul →
dust2	13–11	0.06	21%	28 Jul →
ancient	13–8	0.07	20%	28 Jul →
inferno	6–13	0.03	15%	27 Jul →
ancient	13–10	0.07	15%	26 Jul →
mirage	15–15	-0.00	6%	26 Jul →
inferno	13–4	0.06	16%	25 Jul →
nuke	14–16	0.02	19%	25 Jul →
inferno	12–16	0.10	19%	21 Jul →
anubis	13–5	-0.05	15%	21 Jul →
ancient	8–13	-0.02	13%	21 Jul →
mirage	11–13	-0.02	23%	21 Jul →
anubis	11–13	0.03	17%	21 Jul →
cache	14–16	-0.06	18%	20 Jul →
dust2	8–13	-0.01	22%	20 Jul →
inferno	5–13	-0.00	18%	20 Jul →
dust2	13–5	0.02	32%	20 Jul →
cache	13–8	-0.04	9%	19 Jul →
ancient	10–13	-0.02	24%	19 Jul →
ancient	13–6	-0.05	15%	19 Jul →
cache	8–13	0.09	20%	19 Jul →
dust2	13–11	-0.04	19%	19 Jul →
dust2	13–3	0.01	41%	18 Jul →
dust2	7–13	0.01	21%	17 Jul →
dust2	3–13	0.01	29%	17 Jul →
dust2	13–10	0.01	22%	17 Jul →
mirage	13–9	0.00	18%	17 Jul →
dust2	15–15	0.04	27%	17 Jul →
ancient	13–5	0.06	15%	17 Jul →
anubis	11–13	-0.03	12%	17 Jul →
nuke	13–7	0.04	8%	17 Jul →
cache	13–10	0.05	19%	17 Jul →
mirage	13–10	0.05	23%	15 Jul →
cache	13–11	0.04	25%	15 Jul →
cache	11–13	-0.02	19%	15 Jul →
inferno	13–6	0.05	17%	14 Jul →
mirage	13–11	0.02	26%	14 Jul →
nuke	14–16	-0.04	29%	14 Jul →
mirage	5–13	-0.03	15%	14 Jul →
cache	13–8	0.05	37%	14 Jul →
ancient	5–13	-0.04	23%	14 Jul →
inferno	11–13	0.02	18%	14 Jul →
dust2	7–13	0.01	27%	14 Jul →
inferno	10–13	-0.01	19%	13 Jul →
mirage	13–10	0.06	24%	13 Jul →
dust2	13–11	-0.04	20%	13 Jul →
mirage	13–10	0.04	17%	13 Jul →
cache	13–10	0.03	29%	13 Jul →
inferno	8–13	-0.06	14%	10 Jul →
anubis	13–8	0.06	47%	10 Jul →
cache	8–13	0.01	13%	9 Jul →
cache	2–10	0.03	14%	8 Jul →
office	12–12	0.07	20%	8 Jul →
train	13–0	0.05	9%	8 Jul →
office	11–13	0.10	22%	8 Jul →
dust2	11–13	0.16	24%	8 Jul →
cache	13–11	-0.02	27%	7 Jul →
cache	13–6	0.06	8%	7 Jul →
dust2	10–13	0.06	26%	7 Jul →
cache	9–7	0.11	15%	7 Jul →
dust2	11–13	0.13	20%	7 Jul →
cache	13–9	0.13	19%	7 Jul →
inferno	11–13	0.16	17%	7 Jul →
ancient	11–1	0.04	26%	7 Jul →
cache	8–7	0.01	19%	7 Jul →
cache	13–7	0.05	19%	6 Jul →
nuke	13–11	-0.04	14%	6 Jul →
ancient	13–8	-0.03	19%	4 Jul →
mirage	16–12	-0.01	15%	4 Jul →
ancient	13–6	-0.06	12%	3 Jul →
anubis	4–13	-0.02	28%	3 Jul →
mirage	15–15	-0.05	14%	3 Jul →
mirage	12–16	0.09	16%	2 Jul →
inferno	9–13	0.03	22%	2 Jul →
overpass	13–5	0.07	21%	2 Jul →
overpass	13–5	0.21	26%	2 Jul →
dust2	4–13	-0.08	15%	2 Jul →
nuke	10–13	-0.06	22%	1 Jul →