zymkad — CS2 Stats

US76561198063574879[U:1:103309151]Steam profile ↗✓ No bans

785Tracked matches41%Win rate2020Tracked since

1,334Hours in CS

CSDB Rating5.0 Developing

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim58

Positioning57

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY50–43–7Last 10050%Win rateWLWLLLWWLL

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

Player DNA

Aim5.8

Aggression8.6

Utility5.4

Positioning5.7

Opening Duels3.1

Clutch0.0

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 b1t 87% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

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

Aim5.8

Positioning5.7

Utility5.4

Mechanics5.4

Opening Duels3.1

Win Impact2.1

Composite 5.0/10 (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 rating-0.03−0.04

first ⅓ avg 0.01 → last ⅓ avg -0.03

Reaction time536ms−43ms

first ⅓ avg 579ms → last ⅓ avg 536ms

Headshot accuracy14.4%−1.5%

first ⅓ avg 15.9% → last ⅓ avg 14.4%

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

0.12Best rating — italy 13–5

13–1Biggest win — dust2

5Longest win streak

7–10In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 54% over 71officeWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	71	38–33	54%	-0.00
mirage	D	7	2–5	29%	-0.04
office	D	6	1–5	17%	-0.02
overpass	—	4	2–2	50%	0.01
inferno	—	4	2–2	50%	-0.04
cache	—	3	2–1	67%	-0.03
italy	—	3	2–1	67%	0.05
nuke	—	1	1–0	100%	-0.01
train	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Lifetime stats

86,111Lifetime kills

1.10K/D · Top 50% of tracked players

4,211Matches

37.9%Match win rate

29.1%Headshot %

19.8%Shot accuracy · Top 5% of tracked players

6,941MVPs

1,334Hours (in match)

3,181Bombs planted

642Bombs defused

Most-used weapons

AWP35,334

AK-4713,657

M4A4 / M4A1-S6,992

Desert Eagle4,405

P2000 / USP-S3,875

SSG 083,804

Glock-182,770

P902,151

Five-SeveN1,638

AUG1,593

Lifetime map wins

25,613dust2

879inferno

859nuke

385office

300train

236vertigo

74cbble

45italy

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

Faceit stats

Combat

18Matches

44%Win rate

0.90Avg K/D

59.3ADR

22%Headshot %

Clutches & streaks

0%1v1 clutch win

29%1v2 clutch win

2Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	5	20%	0.95	15.2
Mirage	5	60%	0.96	10.0
Nuke	5	60%	0.86	12.0
Overpass	1	0%	1.53	26.0
Vertigo	1	0%	0.50	8.0
Anubis	1	100%	0.39	7.0

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.

13.7%Headshot accuracy

27.7%Accuracy (enemy spotted)

28.9%Spray accuracy

74.5%Counter-strafing

6.6°Preaim

532msReaction time

36.9%T opening success

47.7%CT opening success

0.78Enemies flashed / flash

4.5%Flash assists

9.14HE damage / grenade

8.34Flashes / 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 13.726% — 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 36.891% — below the 40% mark we flag

Spend your practice time on Mirage

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–11	-0.06	14%	23 Jun →
overpass	5–13	-0.01	18%	23 Jun →
dust2	13–8	-0.02	10%	18 Jun →
dust2	4–13	-0.09	12%	17 Jun →
dust2	0–9	-0.02	18%	17 Jun →
cache	5–13	-0.04	4%	16 Jun →
dust2	13–4	0.01	19%	16 Jun →
dust2	13–7	-0.02	5%	16 Jun →
dust2	4–13	-0.10	16%	11 Jun →
dust2	5–13	0.02	25%	11 Jun →
dust2	11–13	-0.02	12%	11 Jun →
dust2	7–13	0.01	14%	7 Jun →
overpass	5–0	0.05	25%	7 Jun →
dust2	13–7	0.03	11%	7 Jun →
dust2	3–13	-0.06	24%	7 Jun →
mirage	4–13	-0.14	17%	7 Jun →
dust2	13–1	-0.07	14%	7 Jun →
cache	13–1	-0.04	9%	6 Jun →
dust2	0–6	-0.08	0%	6 Jun →
inferno	13–9	-0.09	0%	6 Jun →
dust2	13–8	-0.05	18%	6 Jun →
dust2	2–9	-0.03	30%	6 Jun →
dust2	8–13	-0.06	9%	5 Jun →
dust2	12–12	-0.03	8%	5 Jun →
dust2	8–13	-0.01	8%	5 Jun →
dust2	13–8	0.04	27%	5 Jun →
dust2	9–13	-0.10	6%	4 Jun →
mirage	5–13	-0.06	26%	4 Jun →
office	7–13	-0.04	15%	3 Jun →
dust2	13–5	-0.03	14%	3 Jun →
dust2	13–9	-0.02	5%	2 Jun →
dust2	13–9	0.10	13%	2 Jun →
mirage	7–13	-0.02	29%	2 Jun →
dust2	3–13	0.06	23%	2 Jun →
dust2	13–9	0.00	17%	31 May →
dust2	13–7	0.01	21%	27 May →
dust2	8–13	0.00	33%	27 May →
dust2	13–1	0.06	35%	26 May →
dust2	13–4	-0.00	44%	26 May →
dust2	13–11	0.01	12%	26 May →
dust2	13–9	0.02	5%	26 May →
dust2	12–12	-0.04	8%	26 May →
dust2	9–13	-0.05	13%	12 May →
dust2	7–13	-0.03	16%	5 May →
cache	13–9	-0.02	7%	5 May →
mirage	11–13	-0.05	17%	21 Apr →
dust2	10–13	0.01	17%	20 Apr →
dust2	13–9	0.01	16%	19 Apr →
dust2	13–9	0.04	8%	19 Apr →
dust2	13–9	-0.02	17%	19 Apr →
office	13–5	0.06	12%	19 Apr →
overpass	12–12	0.04	27%	19 Apr →
italy	12–12	0.03	12%	19 Apr →
dust2	13–5	-0.01	26%	19 Apr →
dust2	13–9	0.04	25%	19 Apr →
dust2	13–6	0.04	29%	19 Apr →
mirage	13–8	-0.03	15%	19 Apr →
dust2	13–10	0.08	17%	18 Apr →
dust2	11–13	-0.02	5%	16 Apr →
dust2	13–5	-0.03	4%	16 Apr →
nuke	13–4	-0.01	13%	7 Apr →
dust2	12–12	-0.04	17%	7 Apr →
dust2	5–13	0.02	17%	7 Apr →
office	4–13	0.02	10%	7 Apr →
dust2	13–7	0.11	20%	6 Apr →
inferno	11–13	-0.08	8%	1 Apr →
dust2	5–13	0.01	21%	1 Apr →
italy	13–4	-0.00	7%	31 Mar →
dust2	11–13	-0.03	9%	31 Mar →
mirage	13–8	0.03	26%	29 Mar →
dust2	13–7	0.04	18%	29 Mar →
inferno	13–7	0.01	22%	29 Mar →
dust2	13–6	0.05	19%	27 Mar →
dust2	13–11	0.03	16%	27 Jan →
mirage	11–13	-0.04	20%	27 Jan →
dust2	13–11	0.07	17%	26 Jan →
dust2	13–3	0.05	0%	11 Jan →
office	3–13	-0.13	6%	11 Jan →
italy	13–5	0.12	20%	11 Jan →
dust2	13–11	0.06	17%	30 Dec →
dust2	7–13	-0.03	11%	30 Dec →
train	0–6	-0.05	18%	22 Dec →
dust2	4–13	0.01	38%	22 Dec →
dust2	10–13	-0.03	7%	19 Dec →
dust2	12–12	0.01	13%	19 Dec →
inferno	6–13	-0.00	14%	30 Nov →
office	7–13	-0.05	24%	19 Nov →
overpass	13–4	-0.03	11%	19 Nov →
dust2	13–8	0.01	12%	19 Nov →
office	11–13	0.00	4%	9 Nov →
dust2	13–6	0.01	7%	9 Nov →
dust2	13–11	0.03	29%	9 Nov →
dust2	13–10	-0.08	10%	8 Nov →
dust2	11–13	0.05	27%	5 Nov →
dust2	13–10	-0.02	27%	30 Oct →
dust2	9–13	0.03	13%	30 Oct →
dust2	11–13	0.01	19%	28 Oct →
dust2	13–11	0.01	17%	26 Oct →
dust2	12–12	0.02	22%	26 Oct →
dust2	11–13	0.05	6%	22 Oct →