Z — CS2 Stats

76561198083530295[U:1:123264567]

1,916Tracked matches52%Win rate2020Tracked since

CSDB Rating6.3 SolidAggressive Rifler

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim74

Positioning58

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY55–40–5Last 10055%Win rateWWLLWLWLWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

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

Aim7.4

Aggression6.7

Utility5.5

Positioning5.8

Opening Duels3.3

Clutch6.4

Strong CT-side openerLimited utility dependence

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 iM 91% playstyle similarity

Most alike: opening-fight frequency, positioning 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 52% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 620ms 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

Aim7.4

Positioning5.8

Utility5.5

Mechanics7.7

Opening Duels3.3

Win Impact5.6

Composite 6.3/10 (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 rating0.00+0.00

first ⅓ avg 0.00 → last ⅓ avg 0.00

Reaction time628ms+19ms

first ⅓ avg 608ms → last ⅓ avg 628ms

Headshot accuracy21.4%+1.3%

first ⅓ avg 20.1% → last ⅓ avg 21.4%

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

0.23Best rating — cache 13–6

13–1Biggest win — ancient

5Longest win streak

W2Current streak

9–9In matches decided by ≤2 rounds

2Overtime games

Map breakdown

ancientBest map · 83% over 6dust2Weakest map · 43% over 23

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	29	18–11	62%	0.01
dust2	C	23	10–13	43%	-0.01
inferno	B	14	7–7	50%	-0.00
mirage	B	13	6–7	46%	-0.00
ancient	S	6	5–1	83%	0.01
anubis	A	5	3–2	60%	0.03
nuke	—	4	3–1	75%	-0.01
office	—	2	1–1	50%	-0.01
debris	—	1	1–0	100%	0.07
fachwerk	—	1	0–1	0%	0.07
overpass	—	1	1–0	100%	0.06
vertigo	—	1	0–1	0%	-0.18

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (43% over 23). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,234Matches

53%Win rate

1.24Avg K/D

84.4ADR

38%Headshot %

Clutches & streaks

52%1v1 clutch win

6%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	86	47%	1.13	17.7
Ancient	39	56%	1.19	17.4
Vertigo	36	53%	1.11	17.3
Inferno	27	37%	1.06	16.8
Overpass	19	42%	1.28	20.9
Dust2	18	56%	1.06	17.3
Anubis	16	50%	1.01	15.7
Nuke	13	62%	1.10	16.1

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.

21.5%Headshot accuracy

34.9%Accuracy (enemy spotted)

37.5%Spray accuracy

84.7%Counter-strafing

10.0°Preaim

620msReaction time

34.7%T opening success

51.7%CT opening success

0.69Enemies flashed / flash

3.4%Flash assists

9.95HE damage / grenade

4.66Flashes / 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 34.7059% — 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.

43% win rate across 23 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
cache	13–4	0.06	28%	26 Aug →
dust2	13–10	0.04	17%	21 Aug →
ancient	10–13	-0.01	25%	16 Aug →
cache	14–16	0.04	24%	14 Aug →
cache	13–5	-0.04	23%	10 Aug →
mirage	10–13	0.01	23%	8 Aug →
debris	9–1	0.07	20%	8 Aug →
mirage	8–13	-0.05	16%	4 Aug →
ancient	13–2	-0.05	29%	3 Aug →
inferno	16–13	0.04	15%	1 Aug →
dust2	10–13	-0.01	14%	1 Aug →
dust2	9–13	0.01	22%	1 Aug →
anubis	13–4	0.05	24%	31 Jul →
dust2	11–13	-0.03	22%	31 Jul →
ancient	13–1	-0.03	3%	29 Jul →
cache	12–12	0.01	18%	28 Jul →
cache	11–13	-0.04	21%	26 Jul →
cache	13–7	-0.00	24%	25 Jul →
cache	13–8	-0.05	26%	24 Jul →
inferno	13–9	0.00	14%	23 Jul →
cache	6–13	-0.04	21%	23 Jul →
nuke	13–10	-0.03	24%	19 Jul →
dust2	5–13	0.00	33%	19 Jul →
cache	13–7	0.01	26%	17 Jul →
mirage	13–8	-0.00	36%	11 Jul →
fachwerk	4–13	0.07	30%	9 Jul →
cache	11–13	-0.03	30%	9 Jul →
mirage	11–13	-0.07	11%	7 Jul →
inferno	3–13	-0.07	11%	4 Jul →
anubis	13–7	0.01	25%	4 Jul →
inferno	13–11	-0.02	13%	27 Jun →
cache	6–0	0.01	18%	27 Jun →
cache	13–6	0.23	18%	27 Jun →
anubis	9–13	0.00	18%	27 Jun →
cache	13–4	0.04	21%	26 Jun →
dust2	13–11	-0.02	13%	25 Jun →
cache	13–5	-0.05	23%	22 Jun →
inferno	10–13	0.01	19%	20 Jun →
mirage	13–11	-0.02	15%	20 Jun →
cache	13–3	0.01	10%	20 Jun →
ancient	13–5	0.05	15%	19 Jun →
dust2	8–13	-0.04	19%	16 Jun →
mirage	13–11	0.04	18%	16 Jun →
inferno	13–11	0.06	23%	16 Jun →
dust2	3–13	-0.04	12%	15 Jun →
cache	11–13	0.02	12%	30 May →
dust2	4–13	0.04	32%	29 May →
cache	13–7	0.01	22%	23 May →
dust2	13–7	0.03	28%	22 May →
dust2	9–13	-0.01	20%	17 May →
cache	6–13	-0.01	24%	16 May →
inferno	11–13	-0.06	26%	15 May →
cache	8–13	-0.02	16%	15 May →
cache	13–5	0.06	19%	9 May →
cache	13–1	0.07	16%	9 May →
cache	10–13	0.05	17%	3 May →
nuke	13–11	0.01	27%	2 May →
cache	13–9	0.00	24%	1 May →
cache	13–8	-0.02	22%	29 Apr →
cache	13–8	0.00	34%	29 Apr →
cache	9–13	-0.04	8%	29 Apr →
cache	13–9	0.05	16%	29 Apr →
cache	5–13	-0.04	47%	29 Apr →
cache	13–8	0.04	22%	28 Apr →
mirage	5–13	-0.06	21%	27 Apr →
inferno	5–13	-0.06	30%	23 Apr →
dust2	13–1	-0.04	9%	22 Apr →
anubis	13–11	0.04	15%	22 Apr →
mirage	13–9	0.03	12%	22 Apr →
dust2	13–11	0.01	17%	21 Apr →
overpass	13–6	0.06	18%	21 Apr →
mirage	9–13	-0.04	18%	20 Apr →
inferno	10–13	0.07	30%	19 Apr →
dust2	13–5	-0.03	14%	19 Apr →
nuke	12–12	0.00	36%	18 Apr →
inferno	13–7	0.05	19%	18 Apr →
mirage	13–4	0.07	17%	18 Apr →
dust2	11–13	-0.05	27%	18 Apr →
nuke	13–10	-0.03	18%	17 Apr →
office	9–13	-0.05	13%	17 Apr →
dust2	13–4	0.03	29%	17 Apr →
dust2	12–12	-0.04	30%	15 Apr →
dust2	13–5	0.05	13%	12 Apr →
mirage	11–13	0.03	30%	12 Apr →
inferno	12–12	0.01	13%	11 Apr →
mirage	4–13	-0.05	31%	11 Apr →
ancient	13–4	0.06	21%	11 Apr →
dust2	10–13	-0.09	26%	11 Apr →
dust2	6–11	-0.01	12%	4 Apr →
inferno	12–12	0.01	21%	4 Apr →
anubis	9–13	0.04	18%	4 Apr →
ancient	13–6	0.03	18%	4 Apr →
vertigo	3–9	-0.18	19%	4 Apr →
dust2	13–5	0.04	18%	3 Apr →
dust2	8–13	-0.04	19%	3 Apr →
office	13–11	0.03	16%	30 Mar →
mirage	13–10	0.04	25%	30 Mar →
inferno	5–1	-0.03	0%	30 Mar →
dust2	13–6	0.02	26%	30 Mar →
inferno	13–10	-0.07	26%	13 Mar →