zuza — CS2 Stats

NZ76561198124560869[U:1:164295141]Steam profile ↗✓ No bans

935Tracked matches41%Win rate2020Tracked since

CSDB Rating4.5 DevelopingPassive Rifler

FaceitLevel 5 · 1,183 ELOTop 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim73

Positioning48

Utility40

0–100 skill scores via Leetify.

Recent form

STEADY56–37–7Last 10056%Win rateLWTWLWLLLW

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

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

Aim7.3

Aggression2.7

Utility4.0

Positioning4.8

Opening Duels1.4

Clutch4.0

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 NiKo 83% playstyle similarity

Most alike: opening-duel success, 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 43% on CT to 28% 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

Aim7.3

Positioning4.8

Utility4.0

Mechanics6.1

Opening Duels1.7

Win Impact1.9

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.03

first ⅓ avg 0.06 → last ⅓ avg 0.02

Reaction time551ms−24ms

first ⅓ avg 575ms → last ⅓ avg 551ms

Headshot accuracy18.4%−0.8%

first ⅓ avg 19.2% → last ⅓ avg 18.4%

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

0.20Best rating — dust2 13–7

13–0Biggest win — mirage

6Longest win streak

7–5In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 75% over 8infernoWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	27	16–11	59%	0.04
mirage	A	26	16–10	62%	0.03
inferno	C	11	4–7	36%	0.02
ancient	A	8	5–3	63%	0.04
nuke	S	8	6–2	75%	-0.01
overpass	S	7	5–2	71%	0.07
cache	—	4	0–4	0%	-0.04
train	—	3	1–2	33%	0.05
office	—	2	1–1	50%	0.06
anubis	—	2	1–1	50%	0.10
warden	—	1	1–0	100%	0.12
italy	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

60Matches

55%Win rate

1.36Avg K/D

73.3ADR

40%Headshot %

Clutches & streaks

40%1v1 clutch win

14%1v2 clutch win

11Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	7	14%	1.00	14.3
Inferno	5	20%	0.98	14.4
Dust2	4	75%	1.32	15.3
Anubis	3	33%	0.90	14.7
Nuke	2	100%	3.10	21.5
Ancient	1	0%	0.80	12.0

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.

19.2%Headshot accuracy

32.4%Accuracy (enemy spotted)

39.0%Spray accuracy

77.7%Counter-strafing

9.2°Preaim

545msReaction time

27.5%T opening success

43.5%CT opening success

0.56Enemies flashed / flash

4.9%Flash assists

6.62HE damage / grenade

5.83Flashes / 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 27.5014% — 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.

36% win rate across 11 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
cache	3–7	0.01	23%	18 Aug →
ancient	13–1	0.05	11%	18 Aug →
cache	12–12	-0.08	21%	15 Aug →
dust2	13–6	0.13	23%	15 Aug →
mirage	13–16	0.02	24%	20 Jul →
mirage	13–8	0.05	18%	19 Jul →
cache	12–16	-0.06	27%	15 Jul →
mirage	14–16	0.01	18%	15 Jul →
cache	9–13	-0.01	22%	23 May →
nuke	13–4	-0.01	17%	22 Apr →
mirage	13–5	0.13	12%	22 Apr →
warden	13–8	0.12	28%	13 Apr →
dust2	12–12	0.00	15%	13 Apr →
ancient	13–4	0.00	11%	6 Apr →
nuke	12–16	-0.05	20%	6 Apr →
office	12–12	0.03	48%	25 Mar →
anubis	6–13	0.04	23%	23 Mar →
dust2	7–13	0.01	10%	23 Mar →
dust2	14–16	0.02	17%	16 Mar →
inferno	13–6	0.09	24%	16 Mar →
dust2	8–13	0.05	17%	15 Mar →
inferno	13–7	0.10	11%	12 Mar →
mirage	13–6	0.04	19%	12 Mar →
inferno	13–7	0.02	9%	4 Mar →
inferno	9–13	-0.06	10%	3 Mar →
overpass	6–13	-0.03	16%	3 Mar →
inferno	10–13	-0.01	11%	2 Mar →
ancient	6–13	0.03	9%	2 Mar →
italy	1–13	-0.02	28%	20 Feb →
nuke	5–13	-0.09	27%	18 Feb →
dust2	13–6	0.02	14%	17 Feb →
mirage	13–4	0.09	13%	17 Feb →
nuke	13–4	0.09	12%	13 Feb →
mirage	13–9	0.05	15%	11 Feb →
inferno	12–12	0.06	12%	11 Feb →
inferno	2–7	-0.04	46%	11 Feb →
mirage	4–13	-0.03	11%	10 Feb →
mirage	13–11	0.01	18%	10 Feb →
dust2	12–12	0.05	20%	7 Feb →
mirage	13–3	0.09	20%	7 Feb →
nuke	16–14	-0.01	14%	5 Feb →
dust2	13–10	-0.05	13%	5 Feb →
dust2	14–16	-0.01	19%	5 Feb →
mirage	5–13	-0.02	19%	5 Feb →
mirage	13–10	0.01	20%	5 Feb →
ancient	8–13	-0.01	14%	3 Feb →
ancient	13–4	0.08	18%	2 Feb →
mirage	2–13	-0.08	14%	30 Jan →
dust2	13–11	0.09	15%	30 Jan →
dust2	13–9	0.05	11%	30 Jan →
dust2	13–11	0.02	13%	30 Jan →
dust2	12–12	0.07	20%	29 Jan →
dust2	5–13	-0.01	24%	19 Jan →
dust2	10–13	-0.03	30%	18 Jan →
dust2	13–11	0.15	26%	4 Jan →
dust2	13–6	0.04	26%	4 Jan →
overpass	13–8	0.10	13%	4 Jan →
inferno	11–13	0.01	12%	16 Dec →
mirage	13–6	0.03	19%	13 Dec →
ancient	13–4	0.10	20%	12 Dec →
ancient	7–13	0.04	11%	12 Dec →
nuke	13–9	-0.00	13%	12 Dec →
mirage	8–13	0.03	27%	12 Dec →
dust2	16–14	-0.02	15%	1 Dec →
nuke	13–6	-0.02	19%	28 Nov →
inferno	13–8	0.00	32%	28 Nov →
mirage	4–13	-0.00	18%	28 Nov →
mirage	13–8	0.07	13%	27 Nov →
dust2	8–13	0.04	19%	25 Nov →
train	6–13	0.03	20%	25 Nov →
dust2	13–8	0.05	28%	24 Nov →
dust2	13–7	-0.04	10%	24 Nov →
overpass	13–6	0.13	18%	24 Nov →
anubis	13–4	0.15	28%	24 Nov →
mirage	13–0	0.10	25%	24 Nov →
mirage	13–2	-0.04	16%	21 Nov →
inferno	12–12	0.01	18%	18 Nov →
train	8–0	0.17	26%	18 Nov →
train	3–13	-0.04	18%	15 Nov →
dust2	13–7	0.20	31%	15 Nov →
dust2	11–13	-0.01	8%	15 Nov →
mirage	13–5	0.18	21%	15 Nov →
office	13–4	0.10	21%	14 Nov →
ancient	13–7	0.03	22%	14 Nov →
mirage	4–13	-0.04	20%	8 Nov →
mirage	16–13	0.04	31%	8 Nov →
dust2	13–11	0.01	23%	26 Oct →
mirage	3–8	0.18	27%	26 Oct →
inferno	5–13	-0.01	16%	10 Oct →
mirage	13–10	0.01	11%	10 Oct →
overpass	13–2	0.14	15%	10 Oct →
mirage	13–2	-0.00	7%	10 Oct →
dust2	13–2	0.12	12%	10 Oct →
dust2	13–9	0.12	16%	9 Oct →
overpass	13–10	0.00	22%	8 Oct →
mirage	7–13	-0.03	15%	8 Oct →
overpass	9–13	-0.03	23%	8 Oct →
dust2	13–7	0.09	13%	8 Oct →
overpass	13–9	0.14	20%	7 Oct →
nuke	13–9	0.02	23%	7 Oct →