Zana — CS2 Stats

PRO“ZAna-th”NIP ImpactPortugalAWPerSettings & gear profile →

76561198252978435[U:1:292712707]Steam profile ↗✓ No bans

3,425Tracked matches63%Win rate2020Tracked since

CSDB Rating7.5 StrongAggressive Rifler

CSDB Leaderboard#24540 of 28944 tracked

FaceitLevel 10 · 2,675 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

Rating over time

2,675Peak Faceit ELO on CSDB

1Days observed since 2026-08-29

Faceit ELO

At peak — 2,675
Next: 3,000 ELO at 3,000 — 325 to go
Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
2,500 ELO first seen 2026-08-29
Level 10 first seen 2026-08-29

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim93

Positioning69

Utility55

0–100 skill scores via Leetify.

Recent form

HOT59–41Last 10059%Win rateLWWLWWWWWL

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

Player DNA

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

Aim9.3

Aggression7.3

Utility5.5

Positioning6.9

Opening Duels2.5

Clutch2.8

Sharp aimerStrong 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 b1t 96% playstyle similarity

Most alike: opening-fight frequency, 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

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

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 55% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 561ms 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

Aim9.3

Positioning6.9

Utility5.5

Mechanics7.2

Opening Duels3.1

Win Impact9.4

Composite 7.5/10 (Strong), 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 rating0.02+0.02

first ⅓ avg 0.00 → last ⅓ avg 0.02

Reaction time567ms−27ms

first ⅓ avg 594ms → last ⅓ avg 567ms

Headshot accuracy19.3%−2.8%

first ⅓ avg 22.1% → last ⅓ avg 19.3%

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

0.15Best rating — dust2 13–2

13–0Biggest win — cache

9Longest win streak

14–8In matches decided by ≤2 rounds

14Overtime games

Map breakdown

anubisBest map · 82% over 11mirageWeakest map · 50% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	29	16–13	55%	0.02
ancient	A	25	14–11	56%	0.00
mirage	B	14	7–7	50%	0.02
inferno	A	13	8–5	62%	0.01
anubis	S	11	9–2	82%	0.02
cache	—	4	4–0	100%	0.06
nuke	—	3	0–3	0%	0.00
office	—	1	1–0	100%	-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (50% over 14). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

6,666Matches

52%Win rate

1.15Avg K/D

79.0ADR

38%Headshot %

Clutches & streaks

34%1v1 clutch win

21%1v2 clutch win

24Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	713	57%	1.21	16.4
Dust2	505	53%	1.25	17.6
Anubis	467	54%	1.25	17.8
Mirage	454	50%	1.20	17.4
Inferno	273	54%	1.18	16.5
Nuke	105	37%	1.15	17.3
Vertigo	75	55%	1.23	16.1
Train	65	52%	1.23	17.0

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.

19.8%Headshot accuracy

44.3%Accuracy (enemy spotted)

51.1%Spray accuracy

82.3%Counter-strafing

8.4°Preaim

561msReaction time

25.2%T opening success

55.0%CT opening success

0.66Enemies flashed / flash

11.3%Flash assists

6.42HE damage / grenade

10.73Flashes / 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 25.2473% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
mirage	10–13	0.07	12%	28 Aug →
ancient	13–9	0.02	19%	22 Aug →
dust2	13–11	0.09	23%	19 Aug →
mirage	8–13	0.02	23%	19 Aug →
anubis	13–8	0.06	14%	17 Aug →
ancient	13–11	-0.00	23%	14 Aug →
ancient	13–5	0.03	15%	6 Aug →
dust2	13–7	0.03	33%	5 Aug →
anubis	13–1	0.07	35%	3 Aug →
nuke	5–13	0.05	13%	1 Aug →
cache	13–5	0.05	29%	1 Aug →
mirage	13–5	-0.01	12%	1 Aug →
anubis	13–9	0.02	20%	1 Aug →
cache	13–0	0.07	26%	27 Jul →
dust2	8–13	0.08	22%	27 Jul →
inferno	16–14	0.02	13%	23 Jul →
ancient	3–13	-0.07	21%	20 Jul →
anubis	13–5	-0.02	29%	20 Jul →
mirage	14–16	0.03	14%	9 Jul →
dust2	4–13	-0.01	18%	9 Jul →
ancient	7–13	0.03	30%	7 Jul →
anubis	13–9	0.05	19%	6 Jul →
dust2	13–11	0.04	31%	6 Jul →
nuke	7–13	-0.02	12%	5 Jul →
inferno	13–9	-0.02	9%	4 Jul →
anubis	13–10	0.04	17%	25 Jun →
ancient	5–13	-0.02	18%	16 Jun →
mirage	13–5	0.03	22%	16 Jun →
inferno	9–13	0.00	17%	15 Jun →
dust2	16–14	0.07	19%	13 Jun →
ancient	13–9	-0.06	13%	8 Jun →
ancient	13–5	0.01	10%	5 Jun →
ancient	7–13	0.01	9%	3 Jun →
inferno	16–13	0.10	16%	2 Jun →
dust2	13–2	0.05	41%	2 Jun →
dust2	6–13	-0.01	24%	31 May →
inferno	14–16	-0.02	11%	31 May →
ancient	13–10	0.03	19%	31 May →
inferno	4–13	0.03	11%	28 May →
ancient	16–12	-0.05	22%	27 May →
inferno	13–7	0.09	27%	26 May →
anubis	10–13	0.06	15%	26 May →
ancient	10–13	0.06	22%	26 May →
ancient	19–17	0.04	16%	23 May →
inferno	13–9	-0.01	24%	21 May →
dust2	8–13	0.02	15%	21 May →
dust2	6–13	-0.04	14%	19 May →
mirage	13–10	-0.06	9%	19 May →
mirage	13–9	0.10	20%	13 May →
dust2	3–4	0.01	18%	11 May →
ancient	9–13	-0.04	11%	7 May →
office	13–5	-0.05	17%	6 May →
cache	13–9	0.05	24%	6 May →
cache	13–11	0.06	23%	6 May →
dust2	13–5	0.01	34%	4 May →
dust2	5–13	-0.05	19%	3 May →
nuke	14–16	-0.01	23%	30 Apr →
mirage	19–16	-0.00	18%	29 Apr →
dust2	10–13	-0.04	8%	25 Apr →
dust2	10–13	0.05	33%	24 Apr →
ancient	13–11	-0.00	19%	22 Apr →
ancient	7–13	0.02	21%	22 Apr →
mirage	13–16	0.04	15%	21 Apr →
ancient	13–2	0.07	17%	21 Apr →
ancient	8–13	-0.02	16%	21 Apr →
ancient	13–4	0.05	25%	21 Apr →
anubis	13–11	-0.00	24%	20 Apr →
dust2	9–13	-0.00	15%	20 Apr →
ancient	14–16	-0.03	18%	20 Apr →
mirage	13–7	0.04	17%	19 Apr →
inferno	11–13	-0.06	18%	19 Apr →
anubis	13–10	-0.02	36%	14 Apr →
ancient	16–14	-0.02	23%	8 Apr →
dust2	10–13	-0.06	19%	1 Apr →
ancient	8–13	0.00	17%	31 Mar →
mirage	5–13	0.01	19%	26 Mar →
dust2	13–2	0.15	48%	26 Mar →
dust2	14–16	0.05	30%	19 Mar →
dust2	13–11	0.07	26%	19 Mar →
mirage	13–4	-0.04	13%	19 Mar →
dust2	10–13	0.02	10%	18 Mar →
anubis	11–13	-0.02	13%	14 Mar →
dust2	13–6	0.01	25%	13 Mar →
inferno	9–13	-0.01	22%	12 Mar →
mirage	8–13	0.01	16%	10 Mar →
dust2	13–9	0.01	39%	9 Mar →
dust2	13–9	-0.04	22%	9 Mar →
ancient	13–8	-0.02	13%	8 Mar →
dust2	13–9	0.07	8%	6 Mar →
inferno	13–9	-0.02	21%	5 Mar →
dust2	13–3	-0.02	16%	5 Mar →
dust2	13–10	0.00	23%	5 Mar →
inferno	13–11	0.00	20%	5 Mar →
dust2	13–10	0.00	31%	5 Mar →
mirage	6–13	-0.03	16%	4 Mar →
inferno	22–20	0.07	18%	4 Mar →
anubis	13–11	-0.02	30%	4 Mar →
ancient	13–10	-0.01	21%	3 Mar →
dust2	13–7	0.02	37%	3 Mar →
ancient	9–13	-0.01	28%	3 Mar →