^2zyn2win — CS2 Stats

76561198090750020[U:1:130484292]Steam profile ↗

431Tracked matches46%Win rate2022Tracked since

CSDB Rating4.4 Developing

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanSilver Elite Master

Ladder ranks via Leetify

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Performance scores

Aim50

Positioning52

Utility21

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateLLWLLWWWLW

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

Player DNA

Aim5.0

Aggression6.9

Utility2.1

Positioning5.2

Opening Duels2.9

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 ropz 79% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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

Reaction time. 614ms 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

Aim5.0

Positioning5.2

Utility2.1

Mechanics5.5

Opening Duels2.9

Win Impact3.8

Composite 4.4/10 (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-0.00−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.00

Reaction time613ms−8ms

first ⅓ avg 621ms → last ⅓ avg 613ms

Headshot accuracy16.1%−0.4%

first ⅓ avg 16.6% → last ⅓ avg 16.1%

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 — dust2 13–5

13–1Biggest win — ancient

5Longest win streak

L2Current streak

11–6In matches decided by ≤2 rounds

9Overtime games

Map breakdown

anubisBest map · 67% over 6nukeWeakest map · 20% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	35	22–13	63%	0.01
ancient	C	20	7–13	35%	0.01
nuke	D	15	3–12	20%	-0.02
inferno	C	7	3–4	43%	-0.00
vertigo	B	6	3–3	50%	-0.02
anubis	S	6	4–2	67%	-0.00
train	—	4	3–1	75%	-0.04
overpass	—	2	1–1	50%	-0.00
office	—	2	1–1	50%	-0.06
mirage	—	2	1–1	50%	-0.00
alpine	—	1	0–1	0%	0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

26Matches

46%Win rate

1.15Avg K/D

90.4ADR

45%Headshot %

Clutches & streaks

12%1v1 clutch win

38%1v2 clutch win

5Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	13	69%	1.30	18.1
Anubis	4	50%	1.13	17.3
Ancient	4	25%	1.07	14.3
Mirage	3	0%	0.94	14.3
Nuke	2	0%	0.72	13.0

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.

14.6%Headshot accuracy

30.9%Accuracy (enemy spotted)

33.2%Spray accuracy

74.9%Counter-strafing

10.0°Preaim

614msReaction time

43.4%T opening success

40.1%CT opening success

0.41Enemies flashed / flash

6.1%Flash assists

6.99HE damage / grenade

1.01Flashes / 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 14.5836% — below the 15% mark we flag
Aim Training →
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 0.4061 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Nuke

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

20% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	9–13	0.02	16%	7 Jun →
dust2	6–13	-0.02	22%	30 May →
ancient	13–7	-0.01	15%	30 May →
inferno	8–13	-0.03	16%	30 May →
dust2	13–16	-0.02	14%	29 May →
inferno	13–9	-0.03	16%	26 May →
dust2	16–14	0.05	14%	20 May →
dust2	13–5	-0.06	17%	20 May →
nuke	9–13	-0.10	14%	17 May →
dust2	13–6	0.04	12%	17 May →
dust2	13–10	0.07	15%	15 May →
ancient	10–13	0.01	23%	11 May →
dust2	13–8	0.08	17%	1 May →
inferno	6–13	0.01	12%	1 May →
vertigo	12–12	-0.02	11%	26 Apr →
dust2	6–13	-0.08	11%	26 Apr →
nuke	9–13	0.05	12%	24 Apr →
ancient	8–0	0.09	16%	24 Apr →
dust2	13–7	0.04	13%	24 Apr →
ancient	15–15	-0.05	10%	16 Apr →
ancient	5–13	-0.04	10%	16 Apr →
nuke	7–13	0.00	13%	16 Apr →
vertigo	13–8	0.01	7%	1 Apr →
alpine	8–13	0.04	15%	28 Jan →
dust2	9–13	-0.05	14%	28 Jan →
anubis	13–8	0.04	19%	21 Jan →
dust2	5–13	-0.04	11%	20 Jan →
vertigo	13–10	-0.01	15%	20 Jan →
ancient	11–13	0.07	18%	10 Jan →
inferno	13–3	-0.04	25%	10 Jan →
inferno	4–13	0.04	22%	30 Dec →
vertigo	5–13	-0.05	15%	28 Dec →
nuke	1–13	-0.04	54%	28 Dec →
dust2	1–13	-0.07	19%	28 Dec →
ancient	13–8	0.01	15%	19 Dec →
dust2	16–13	0.04	21%	18 Dec →
dust2	13–7	0.01	22%	17 Dec →
dust2	2–13	-0.02	19%	17 Dec →
nuke	13–16	-0.00	13%	16 Dec →
dust2	13–11	0.02	7%	16 Dec →
dust2	13–11	0.10	19%	12 Dec →
ancient	13–6	0.09	16%	11 Dec →
overpass	16–14	0.06	12%	10 Dec →
nuke	8–13	-0.08	20%	10 Dec →
nuke	5–13	-0.05	13%	9 Dec →
dust2	13–11	-0.06	16%	4 Dec →
nuke	4–13	-0.03	21%	27 Sept →
nuke	9–13	-0.03	23%	27 Sept →
nuke	11–13	-0.02	18%	13 Aug →
ancient	10–13	0.02	16%	6 Aug →
ancient	9–13	0.05	19%	3 Aug →
dust2	7–13	-0.02	14%	3 Aug →
office	9–13	-0.04	9%	31 Jul →
office	13–9	-0.07	16%	31 Jul →
vertigo	13–10	-0.01	23%	31 Jul →
dust2	6–13	-0.00	24%	25 Jul →
dust2	3–13	-0.05	28%	25 Jul →
dust2	11–13	0.05	20%	24 Jul →
ancient	13–8	0.03	10%	24 Jul →
nuke	4–13	-0.04	24%	24 Jul →
dust2	13–11	0.04	11%	23 Jul →
inferno	10–13	0.02	10%	23 Jul →
dust2	13–8	0.05	17%	22 Jul →
mirage	7–13	-0.08	13%	22 Jul →
nuke	5–13	-0.05	25%	21 Jul →
train	13–11	-0.06	16%	21 Jul →
ancient	9–13	0.01	12%	20 Jul →
train	13–9	0.03	23%	20 Jul →
dust2	8–13	-0.02	17%	19 Jul →
overpass	6–13	-0.06	14%	18 Jul →
ancient	8–13	-0.06	11%	18 Jul →
dust2	13–6	0.10	16%	18 Jul →
dust2	13–6	0.01	12%	17 Jul →
dust2	13–5	0.12	22%	17 Jul →
dust2	13–4	0.05	20%	17 Jul →
dust2	13–2	0.05	28%	16 Jul →
ancient	11–13	-0.05	14%	15 Jul →
ancient	13–1	0.03	24%	15 Jul →
anubis	13–10	0.01	11%	15 Jul →
dust2	13–6	-0.04	4%	13 Jul →
inferno	13–10	0.00	24%	13 Jul →
nuke	13–3	0.06	14%	13 Jul →
anubis	14–16	0.02	18%	11 Jul →
anubis	13–1	-0.02	24%	11 Jul →
anubis	6–13	-0.03	11%	11 Jul →
dust2	13–11	-0.01	11%	10 Jul →
dust2	13–11	-0.02	29%	9 Jul →
mirage	13–10	0.08	17%	9 Jul →
ancient	8–13	-0.03	8%	9 Jul →
nuke	13–11	-0.03	11%	8 Jul →
vertigo	11–13	-0.04	16%	8 Jul →
ancient	9–13	0.05	11%	8 Jul →
dust2	4–13	-0.06	14%	8 Jul →
train	6–13	-0.06	16%	3 Jul →
ancient	16–12	0.03	16%	2 Jul →
anubis	13–9	-0.04	18%	2 Jul →
dust2	13–10	0.08	16%	2 Jul →
ancient	5–13	0.03	24%	2 Jul →
train	13–10	-0.05	16%	1 Jul →
nuke	16–14	0.04	16%	1 Jul →