Zemba — CS2 Stats

76561198806486481[U:1:846220753]

1,572Tracked matches38%Win rate2020Tracked since

CSDB Rating5.0 DevelopingHybrid Rifler

WingmanLegendary Eagle

Ladder ranks via Leetify

Performance scores

Aim74

Positioning53

Utility60

0–100 skill scores via Leetify.

Recent form

COLD48–48–4Last 10048%Win rateWLLLLLLLWW

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

Player DNA

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

Aim7.4

Aggression5.5

Utility6.0

Positioning5.3

Opening Duels2.2

Clutch3.6

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 92% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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 47% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 577ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim7.4

Positioning5.3

Utility6.0

Mechanics3.6

Opening Duels2.2

Win Impact1.0

Composite 5.0/10 (Developing), 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+0.02

first ⅓ avg -0.01 → last ⅓ avg 0.01

Reaction time578ms−14ms

first ⅓ avg 592ms → last ⅓ avg 578ms

Headshot accuracy19.4%−0.5%

first ⅓ avg 19.9% → last ⅓ avg 19.4%

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

0.18Best rating — nuke 13–4

13–1Biggest win — boulder

10Longest win streak

3–7In matches decided by ≤2 rounds

3Overtime games

Map breakdown

anubisBest map · 67% over 6dust2Weakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	44	22–22	50%	0.02
mirage	C	8	3–5	38%	-0.02
cache	C	8	3–5	38%	-0.01
dust2	D	7	1–6	14%	-0.02
inferno	D	6	2–4	33%	0.00
ancient	B	6	3–3	50%	0.00
anubis	S	6	4–2	67%	0.00
overpass	—	4	2–2	50%	-0.02
office	—	3	1–2	33%	0.00
vertigo	—	3	3–0	100%	-0.04
boulder	—	2	2–0	100%	0.02
fachwerk	—	1	1–0	100%	-0.02
train	—	1	1–0	100%	0.04
italy	—	1	0–1	0%	-0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

330Matches

54%Win rate

1.13Avg K/D

79.4ADR

41%Headshot %

Clutches & streaks

38%1v1 clutch win

24%1v2 clutch win

6Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	80	51%	1.00	15.0
Anubis	44	48%	1.07	15.4
Vertigo	35	77%	1.06	13.5
Nuke	34	50%	1.36	16.5
Ancient	30	50%	1.11	14.8
Inferno	29	52%	1.07	14.8
Overpass	7	57%	1.25	16.7
Dust2	2	0%	0.57	9.5

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.

19.6%Headshot accuracy

39.4%Accuracy (enemy spotted)

49.1%Spray accuracy

66.3%Counter-strafing

11.3°Preaim

577msReaction time

30.1%T opening success

47.3%CT opening success

0.63Enemies flashed / flash

13.1%Flash assists

6.74HE damage / grenade

12.75Flashes / 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 30.0695% — 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.

14% win rate across 7 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
mirage	13–3	-0.06	11%	29 Aug →
cache	3–10	-0.01	13%	26 Aug →
nuke	5–13	-0.10	19%	24 Aug →
dust2	8–13	0.11	19%	23 Aug →
nuke	8–13	0.04	20%	21 Aug →
mirage	6–13	0.01	22%	21 Aug →
inferno	6–13	0.03	6%	21 Aug →
inferno	3–5	0.02	33%	21 Aug →
fachwerk	13–4	-0.02	14%	19 Aug →
mirage	13–6	0.03	23%	19 Aug →
boulder	13–3	0.01	23%	18 Aug →
dust2	4–13	0.00	27%	18 Aug →
nuke	12–12	0.03	28%	18 Aug →
inferno	13–4	-0.01	20%	13 Aug →
nuke	13–4	0.18	9%	11 Aug →
office	3–13	-0.01	18%	11 Aug →
nuke	10–13	0.03	17%	7 Aug →
nuke	8–13	0.10	24%	1 Aug →
nuke	16–13	0.01	15%	27 Jul →
inferno	11–13	0.01	24%	26 Jul →
ancient	8–13	0.02	38%	26 Jul →
cache	16–19	-0.01	16%	25 Jul →
nuke	7–13	-0.01	17%	24 Jul →
boulder	13–1	0.04	27%	24 Jul →
nuke	9–13	-0.06	27%	24 Jul →
dust2	13–8	-0.01	8%	24 Jul →
ancient	13–10	-0.01	23%	22 Jul →
anubis	9–13	-0.03	16%	19 Jul →
nuke	11–13	0.03	22%	17 Jul →
nuke	13–10	0.01	16%	16 Jul →
dust2	10–13	-0.10	12%	15 Jul →
ancient	8–13	0.02	16%	15 Jul →
mirage	7–13	-0.02	17%	15 Jul →
nuke	11–13	0.07	15%	14 Jul →
cache	13–5	-0.02	38%	6 Jul →
cache	10–13	0.03	25%	6 Jul →
nuke	2–4	0.12	64%	1 Jul →
train	13–10	0.04	20%	21 Jun →
nuke	13–8	0.04	36%	20 Jun →
nuke	12–12	0.03	20%	20 Jun →
anubis	13–8	0.01	22%	19 Jun →
dust2	9–12	0.01	24%	18 Jun →
overpass	12–12	-0.05	14%	14 Jun →
office	13–7	0.09	21%	12 Jun →
nuke	13–11	0.00	26%	12 Jun →
nuke	13–7	-0.02	16%	12 Jun →
mirage	13–9	0.03	21%	12 Jun →
nuke	13–4	0.01	21%	11 Jun →
nuke	13–10	-0.01	17%	11 Jun →
nuke	13–9	-0.04	16%	11 Jun →
cache	13–2	0.00	15%	8 Jun →
nuke	13–2	0.05	13%	8 Jun →
nuke	13–7	0.02	17%	8 Jun →
nuke	5–13	0.07	31%	6 Jun →
mirage	4–9	-0.05	24%	6 Jun →
nuke	9–2	0.02	27%	6 Jun →
nuke	13–7	0.01	26%	6 Jun →
anubis	13–4	0.07	17%	5 Jun →
mirage	10–13	-0.05	20%	5 Jun →
nuke	7–13	0.13	26%	5 Jun →
nuke	5–13	-0.01	21%	5 Jun →
nuke	13–4	-0.04	24%	5 Jun →
nuke	13–2	0.03	26%	5 Jun →
vertigo	13–9	-0.06	23%	3 Jun →
vertigo	13–11	0.04	14%	3 Jun →
overpass	13–5	-0.00	33%	1 Jun →
vertigo	13–5	-0.10	9%	29 May →
italy	7–13	-0.09	29%	29 May →
cache	7–2	-0.04	13%	29 May →
anubis	8–13	-0.06	13%	29 May →
nuke	10–13	0.04	35%	28 May →
nuke	13–10	0.08	18%	28 May →
anubis	13–4	-0.01	36%	27 May →
inferno	13–7	0.01	23%	27 May →
ancient	7–1	-0.03	17%	26 May →
dust2	4–13	-0.10	10%	26 May →
nuke	1–12	-0.04	21%	23 May →
nuke	13–1	0.05	30%	18 May →
cache	6–13	0.03	33%	18 May →
nuke	9–13	0.01	19%	17 May →
nuke	13–4	0.04	22%	17 May →
anubis	13–8	0.05	30%	17 May →
ancient	10–13	-0.01	15%	17 May →
cache	2–13	-0.07	6%	17 May →
nuke	2–13	-0.04	45%	16 May →
nuke	13–16	-0.03	21%	16 May →
mirage	10–13	-0.04	16%	16 May →
ancient	13–4	0.02	18%	16 May →
nuke	13–11	-0.04	14%	16 May →
inferno	11–13	-0.05	17%	16 May →
overpass	11–13	-0.01	29%	15 May →
dust2	4–13	-0.08	14%	15 May →
overpass	13–6	-0.01	24%	15 May →
nuke	8–1	-0.01	18%	14 May →
nuke	13–2	0.01	4%	14 May →
nuke	4–13	-0.04	16%	14 May →
nuke	8–13	0.09	8%	14 May →
nuke	13–10	-0.01	15%	14 May →
nuke	3–13	0.01	9%	13 May →
office	12–12	-0.08	17%	13 May →