Znickas — CS2 Stats

DE76561198009031170[U:1:48765442]Steam profile ↗✓ No bans

3,353Tracked matches66%Win rate2020Tracked since

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating15,825Purple band · top ~25.1% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim73

Positioning60

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateTLWLWWWWLW

Last 10 vs previous 10: -20pp win rate · +0.04 avg rating

Player DNA

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

Aim7.3

Aggression9.3

Utility6.1

Positioning6.0

Opening Duels4.5

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 device 92% 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

Areas to improve

T-side openings. Opening success drops from 58% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 568ms 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

Aim7.3

Positioning6.0

Utility6.1

Mechanics6.5

Opening Duels4.5

Win Impact10.0

Composite 6.7/10 (Solid), 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 rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time569ms−16ms

first ⅓ avg 586ms → last ⅓ avg 569ms

Headshot accuracy15.3%+0.1%

first ⅓ avg 15.2% → last ⅓ avg 15.3%

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

0.16Best rating — anubis 13–9

13–1Biggest win — ancient

4Longest win streak

9–9In matches decided by ≤2 rounds

9Overtime games

Map breakdown

cacheBest map · 70% over 10dust2Weakest map · 29% over 17

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	20	7–13	35%	0.00
inferno	S	17	11–6	65%	-0.00
ancient	B	17	9–8	53%	0.01
dust2	D	17	5–12	29%	-0.00
anubis	A	13	8–5	62%	0.02
cache	S	10	7–3	70%	0.01
mirage	—	4	2–2	50%	0.03
overpass	—	2	0–2	0%	-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,564Matches

50%Win rate

1.04Avg K/D

76.6ADR

34%Headshot %

Clutches & streaks

40%1v1 clutch win

21%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	223	56%	1.05	16.2
Dust2	206	52%	0.97	15.7
Anubis	143	45%	0.98	15.1
Ancient	142	54%	0.96	14.8
Nuke	85	48%	0.97	15.1
Mirage	73	42%	0.88	13.0
Overpass	30	57%	1.12	16.4
Train	22	41%	1.10	17.3

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

39.8%Accuracy (enemy spotted)

41.0%Spray accuracy

79.4%Counter-strafing

11.1°Preaim

568msReaction time

38.7%T opening success

57.5%CT opening success

0.56Enemies flashed / flash

4.5%Flash assists

9.18HE damage / grenade

13.39Flashes / 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 14.6335% — 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 38.6934% — below the 40% mark we flag

Spend your practice time on Dust 2

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 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	15–15	0.08	19%	23 Aug →
mirage	9–13	0.04	9%	23 Aug →
ancient	16–14	-0.02	4%	20 Aug →
nuke	10–13	-0.01	15%	19 Aug →
ancient	13–1	0.13	11%	13 Aug →
ancient	13–7	0.04	14%	13 Aug →
dust2	13–1	0.06	11%	13 Aug →
inferno	13–10	0.05	16%	13 Aug →
anubis	6–13	0.02	12%	11 Aug →
dust2	13–11	0.01	15%	7 Aug →
inferno	13–10	-0.03	20%	4 Aug →
ancient	9–13	-0.04	5%	4 Aug →
inferno	13–8	0.00	14%	31 Jul →
anubis	13–11	-0.01	6%	30 Jul →
anubis	13–9	-0.03	12%	30 Jul →
cache	13–6	0.04	21%	30 Jul →
dust2	4–13	0.05	14%	30 Jul →
nuke	13–9	0.01	16%	29 Jul →
dust2	13–8	-0.01	6%	29 Jul →
anubis	13–6	0.07	29%	29 Jul →
anubis	5–13	-0.07	35%	26 Jul →
anubis	13–5	-0.03	14%	25 Jul →
inferno	8–13	-0.03	6%	23 Jul →
nuke	13–5	0.01	25%	23 Jul →
ancient	13–8	0.11	17%	22 Jul →
ancient	11–13	-0.05	14%	21 Jul →
anubis	13–11	0.03	6%	21 Jul →
dust2	10–13	0.01	21%	21 Jul →
inferno	13–10	-0.04	17%	20 Jul →
nuke	3–13	-0.02	25%	20 Jul →
ancient	9–13	0.00	13%	20 Jul →
ancient	2–13	-0.05	24%	20 Jul →
cache	13–4	0.05	19%	18 Jul →
dust2	3–13	-0.08	8%	18 Jul →
ancient	13–5	-0.04	4%	18 Jul →
nuke	9–13	0.05	8%	13 Jul →
ancient	13–8	0.07	17%	12 Jul →
mirage	8–13	0.05	9%	11 Jul →
anubis	9–13	-0.05	18%	11 Jul →
nuke	11–13	-0.06	9%	10 Jul →
ancient	13–11	0.03	17%	10 Jul →
inferno	13–8	-0.02	6%	10 Jul →
dust2	12–16	0.05	12%	9 Jul →
dust2	6–13	-0.03	18%	9 Jul →
ancient	9–13	-0.02	12%	9 Jul →
inferno	6–13	-0.03	9%	4 Jul →
mirage	13–11	0.04	17%	30 Jun →
cache	13–5	-0.05	8%	30 Jun →
inferno	13–8	-0.05	18%	27 Jun →
inferno	11–13	-0.05	26%	26 Jun →
cache	13–8	-0.04	17%	26 Jun →
nuke	11–13	-0.04	15%	18 Jun →
dust2	15–15	0.02	15%	17 Jun →
cache	13–11	0.07	24%	8 May →
ancient	3–13	-0.02	15%	8 May →
nuke	13–6	0.12	13%	8 May →
dust2	14–16	-0.04	22%	7 May →
ancient	13–6	0.07	21%	7 May →
mirage	13–6	-0.01	19%	7 May →
nuke	10–13	-0.04	21%	7 May →
anubis	13–9	0.16	10%	7 May →
nuke	11–13	0.02	19%	7 May →
inferno	8–13	0.02	24%	6 May →
nuke	13–4	0.03	13%	6 May →
nuke	5–13	-0.02	21%	6 May →
dust2	9–13	-0.07	14%	6 May →
ancient	13–9	-0.05	7%	5 May →
overpass	8–13	0.00	16%	5 May →
nuke	15–15	-0.00	15%	5 May →
inferno	13–16	0.05	14%	3 May →
dust2	13–11	0.01	12%	3 May →
cache	7–13	-0.05	10%	2 May →
cache	13–5	-0.01	13%	2 May →
cache	2–13	0.03	18%	1 May →
nuke	8–13	0.04	24%	1 May →
cache	13–7	0.02	20%	30 Apr →
nuke	8–13	-0.02	15%	30 Apr →
ancient	11–13	-0.05	11%	30 Apr →
cache	11–13	0.06	8%	30 Apr →
nuke	13–11	-0.01	12%	28 Apr →
anubis	13–16	0.01	7%	28 Apr →
dust2	9–13	0.03	18%	28 Apr →
nuke	13–6	0.05	15%	26 Apr →
nuke	9–13	-0.04	13%	24 Apr →
inferno	10–5	0.01	19%	24 Apr →
overpass	7–13	-0.03	15%	24 Apr →
dust2	8–13	-0.10	11%	23 Apr →
nuke	13–5	0.03	21%	23 Apr →
anubis	13–6	0.11	9%	23 Apr →
inferno	13–4	0.03	18%	23 Apr →
inferno	13–3	0.03	18%	19 Apr →
anubis	10–13	0.01	20%	18 Apr →
dust2	4–13	-0.00	25%	18 Apr →
dust2	13–4	0.02	7%	17 Apr →
inferno	13–5	-0.03	17%	17 Apr →
nuke	10–13	-0.04	10%	17 Apr →
inferno	13–2	-0.00	27%	17 Apr →
anubis	16–13	0.07	16%	17 Apr →
dust2	11–13	-0.02	16%	16 Apr →
ancient	10–13	0.12	13%	16 Apr →