zAAz — CS2 Stats

PRO“<ZAZAZAZA>”Free AgentLebanonRiflerSettings & gear profile →

76561197990140855[U:1:29875127]Steam profile ↗

1,025Tracked matches47%Win rate2020Tracked since

CSDB Rating5.3 DevelopingHybrid Rifler

FaceitLevel 10 · 2,521 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim65

Positioning54

Utility64

0–100 skill scores via Leetify.

Recent form

HOT49–51Last 10049%Win rateWWLLWWWWWL

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating

Player DNA

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

Aim6.5

Aggression6.3

Utility6.4

Positioning5.4

Opening Duels2.4

Clutch5.6

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 Twistzz 91% 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. 0.75 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 55% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.5

Positioning5.4

Utility6.4

Mechanics3.5

Opening Duels3.2

Win Impact3.9

Composite 5.3/10 (Developing), 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 rating0.01+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.01

Reaction time534ms−43ms

first ⅓ avg 577ms → last ⅓ avg 534ms

Headshot accuracy23.1%−0.4%

first ⅓ avg 23.5% → last ⅓ avg 23.1%

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

0.17Best rating — ancient 13–2

13–0Biggest win — dust2

6Longest win streak

W2Current streak

7–11In matches decided by ≤2 rounds

9Overtime games

Map breakdown

vertigoBest map · 100% over 5nukeWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	26	13–13	50%	0.00
ancient	D	24	8–16	33%	-0.00
dust2	S	16	12–4	75%	0.03
nuke	D	12	3–9	25%	-0.02
inferno	C	8	3–5	38%	-0.01
vertigo	S	5	5–0	100%	0.03
overpass	—	4	1–3	25%	-0.03
train	—	4	3–1	75%	0.01
anubis	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,201Matches

59%Win rate

1.19Avg K/D

84.0ADR

57%Headshot %

Clutches & streaks

48%1v1 clutch win

26%1v2 clutch win

21Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	171	53%	1.07	16.2
Ancient	165	58%	1.15	16.7
Dust2	68	57%	1.19	16.5
Inferno	56	52%	1.05	14.9
Nuke	54	57%	1.15	16.9
Vertigo	36	78%	1.14	14.5
Overpass	32	75%	1.14	16.1
Anubis	21	71%	1.22	15.6

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.

23.0%Headshot accuracy

34.3%Accuracy (enemy spotted)

37.7%Spray accuracy

65.9%Counter-strafing

11.4°Preaim

542msReaction time

24.1%T opening success

55.3%CT opening success

0.75Enemies flashed / flash

7.5%Flash assists

7.31HE damage / grenade

8.98Flashes / 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 24.0702% — below the 40% mark we flag

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.

25% win rate across 12 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
mirage	13–11	0.03	26%	26 Jun →
ancient	22–18	0.03	24%	26 Jun →
overpass	3–13	0.01	28%	26 Jun →
ancient	10–13	0.03	18%	26 Jun →
dust2	13–2	0.07	24%	24 Jun →
ancient	13–2	0.01	20%	24 Jun →
mirage	13–11	0.00	31%	15 Jun →
dust2	13–6	-0.04	19%	19 May →
nuke	13–1	0.10	18%	19 May →
overpass	7–13	-0.10	17%	13 May →
mirage	8–13	-0.08	21%	29 Apr →
nuke	4–13	-0.07	18%	29 Apr →
overpass	4–13	-0.05	26%	22 Apr →
nuke	1–13	-0.08	25%	18 Apr →
mirage	5–13	-0.07	16%	18 Apr →
ancient	10–13	0.05	21%	12 Apr →
dust2	13–7	0.09	23%	11 Apr →
mirage	6–13	-0.00	25%	11 Apr →
dust2	13–4	0.16	21%	11 Apr →
dust2	13–3	0.13	34%	11 Apr →
dust2	7–13	-0.02	23%	2 Apr →
ancient	1–13	-0.11	19%	2 Apr →
dust2	13–8	-0.01	27%	1 Apr →
nuke	13–8	-0.03	21%	1 Apr →
nuke	13–16	-0.01	35%	30 Mar →
mirage	9–13	0.08	28%	30 Mar →
mirage	11–13	-0.04	18%	25 Mar →
ancient	16–12	0.02	20%	25 Mar →
ancient	10–13	-0.06	22%	16 Mar →
mirage	13–8	-0.00	15%	13 Mar →
mirage	13–3	0.10	21%	5 Jan →
ancient	13–16	0.01	27%	3 Jan →
mirage	13–3	0.09	31%	3 Jan →
ancient	11–13	-0.03	27%	3 Jan →
inferno	10–13	-0.02	22%	3 Jan →
ancient	13–2	0.17	35%	29 Oct →
mirage	16–14	0.04	24%	29 Oct →
mirage	11–13	-0.02	19%	27 Oct →
dust2	13–8	0.06	23%	27 Oct →
nuke	5–13	-0.00	30%	24 May →
ancient	11–13	0.03	33%	24 May →
train	13–11	-0.02	24%	24 May →
dust2	13–7	0.02	27%	23 May →
train	13–9	-0.04	21%	23 May →
inferno	10–13	0.04	20%	22 May →
mirage	5–4	-0.01	13%	22 May →
mirage	8–7	0.04	32%	22 May →
dust2	13–3	0.00	31%	15 May →
ancient	13–16	-0.03	21%	13 May →
overpass	9–4	0.01	30%	12 May →
vertigo	9–6	0.01	14%	12 May →
nuke	5–13	-0.07	10%	7 May →
dust2	2–13	-0.05	9%	7 May →
nuke	10–13	0.02	21%	6 May →
dust2	2–13	-0.08	17%	30 Apr →
nuke	3–13	-0.09	19%	30 Apr →
mirage	4–13	-0.01	38%	29 Apr →
nuke	6–13	-0.05	29%	29 Apr →
ancient	6–13	-0.06	23%	24 Apr →
vertigo	9–4	0.09	33%	24 Apr →
inferno	9–5	-0.01	16%	10 Feb →
train	13–1	0.06	23%	7 Feb →
mirage	13–6	0.02	29%	3 Feb →
dust2	13–7	0.00	21%	24 Jan →
mirage	13–6	0.04	25%	19 Jan →
train	11–13	0.04	29%	15 Jan →
ancient	10–13	-0.04	20%	14 Jan →
mirage	5–13	-0.07	18%	27 Sept →
mirage	5–13	-0.02	22%	13 Sept →
inferno	11–13	0.04	50%	13 Sept →
ancient	8–13	-0.03	19%	10 Sept →
vertigo	16–13	-0.02	15%	29 Aug →
mirage	11–13	0.02	21%	27 Aug →
dust2	13–4	0.00	27%	27 Aug →
dust2	11–13	0.01	22%	21 Aug →
inferno	13–7	0.00	24%	20 Aug →
dust2	13–0	0.15	31%	14 Aug →
ancient	9–13	-0.00	18%	7 Aug →
mirage	13–7	0.04	25%	4 May →
inferno	13–6	0.02	26%	4 May →
mirage	13–7	-0.00	25%	3 May →
anubis	13–6	-0.02	14%	3 May →
ancient	13–9	0.04	23%	2 May →
inferno	11–13	-0.05	21%	2 May →
vertigo	13–6	0.06	24%	30 Apr →
vertigo	13–8	0.02	20%	27 Apr →
ancient	8–13	-0.02	26%	24 Apr →
ancient	9–13	0.02	26%	23 Apr →
ancient	13–8	0.03	16%	21 Apr →
nuke	9–13	-0.05	14%	21 Apr →
ancient	13–3	-0.02	32%	21 Apr →
mirage	23–25	-0.05	18%	21 Apr →
mirage	3–13	-0.05	33%	21 Apr →
ancient	13–9	0.04	23%	18 Apr →
ancient	7–13	-0.04	14%	16 Apr →
inferno	8–13	-0.07	34%	16 Apr →
mirage	14–16	-0.05	22%	15 Apr →
nuke	13–10	0.04	25%	14 Apr →
mirage	13–11	-0.01	19%	14 Apr →
ancient	10–13	-0.03	26%	12 Apr →