zuib — CS2 Stats

76561198035504777[U:1:75239049]Steam profile ↗✓ No bans

485Tracked matches45%Win rate2020Tracked since

CSDB Rating5.7 SolidHybrid Rifler

Premier CS Rating19,919Purple band · top ~8.8% of ranked players (population est.)

CSDB Leaderboard#8807 of 19796 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

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Performance scores

Aim78

Positioning55

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY53–42–5Last 10053%Win rateWWLLLLLWWW

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

Player DNA

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

Aim7.8

Aggression5.4

Utility4.9

Positioning5.5

Opening Duels0.8

Clutch4.8

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 89% playstyle similarity

Most alike: positioning profile, 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 45% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 558ms 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

Aim7.8

Positioning5.5

Utility4.9

Mechanics6.5

Opening Duels1.9

Win Impact3.3

Composite 5.7/10 (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 rating-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time567ms+28ms

first ⅓ avg 539ms → last ⅓ avg 567ms

Headshot accuracy15.9%−1.4%

first ⅓ avg 17.3% → last ⅓ avg 15.9%

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 — office 13–2

13–0Biggest win — office

6Longest win streak

W2Current streak

6–8In matches decided by ≤2 rounds

9Overtime games

Map breakdown

anubisBest map · 71% over 7ancientWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
office	A	36	23–13	64%	0.03
inferno	D	15	5–10	33%	-0.01
cache	A	11	6–5	55%	0.02
overpass	B	8	4–4	50%	0.02
anubis	S	7	5–2	71%	0.00
ancient	D	7	1–6	14%	-0.02
nuke	C	7	3–4	43%	0.02
train	—	3	1–2	33%	-0.01
dust2	—	2	1–1	50%	0.01
poseidon	—	2	2–0	100%	0.01
vertigo	—	1	1–0	100%	0.03
warden	—	1	1–0	100%	0.08

Across the last 100 tracked matches.

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

Faceit stats

Combat

351Matches

56%Win rate

1.21Avg K/D

83.7ADR

39%Headshot %

Clutches & streaks

44%1v1 clutch win

21%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	65	63%	1.19	16.3
Ancient	50	58%	1.19	16.7
Cache	39	72%	1.42	18.5
Nuke	32	41%	1.05	15.7
Overpass	28	46%	1.17	17.9
Anubis	24	54%	0.92	14.2
Dust2	3	33%	1.26	15.7
Mirage	1	100%	0.91	10.0

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.

15.5%Headshot accuracy

38.0%Accuracy (enemy spotted)

42.9%Spray accuracy

79.4%Counter-strafing

9.4°Preaim

558msReaction time

20.9%T opening success

45.5%CT opening success

0.51Enemies flashed / flash

7.4%Flash assists

7.76HE damage / grenade

6.15Flashes / 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 20.8984% — below the 40% mark we flag

Spend your practice time on Ancient

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.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–7	0.01	20%	10 Jun →
anubis	13–8	-0.04	8%	8 Jun →
dust2	6–13	-0.05	17%	8 Jun →
ancient	4–13	-0.03	9%	8 Jun →
ancient	17–19	0.07	15%	4 Jun →
ancient	14–16	-0.06	17%	3 Jun →
cache	3–13	-0.09	13%	2 Jun →
cache	13–5	0.03	23%	2 Jun →
poseidon	9–6	-0.05	32%	2 Jun →
anubis	13–6	0.02	8%	1 Jun →
anubis	13–10	0.03	13%	30 May →
office	6–13	-0.05	12%	21 May →
office	8–13	-0.02	9%	21 May →
cache	8–13	0.02	18%	21 May →
ancient	16–13	-0.01	11%	19 May →
inferno	7–13	-0.03	16%	19 May →
cache	14–16	0.10	11%	19 May →
cache	13–11	-0.04	17%	18 May →
cache	2–13	-0.01	16%	15 May →
cache	13–6	0.06	14%	14 May →
office	13–11	0.01	32%	14 May →
office	12–12	-0.10	33%	13 May →
inferno	2–13	-0.00	14%	9 May →
overpass	10–13	-0.02	21%	7 May →
anubis	10–13	0.01	17%	6 May →
cache	6–13	-0.00	18%	6 May →
cache	13–4	0.08	9%	6 May →
cache	13–10	-0.02	16%	6 May →
cache	13–4	0.10	9%	4 May →
train	7–13	-0.07	10%	27 Apr →
train	13–7	0.10	14%	26 Apr →
train	4–13	-0.05	12%	26 Apr →
overpass	14–16	0.07	23%	24 Apr →
inferno	13–10	0.02	15%	24 Apr →
overpass	9–13	-0.00	11%	12 Apr →
inferno	8–13	0.03	25%	10 Apr →
office	4–13	0.10	11%	9 Apr →
office	13–10	0.06	12%	9 Apr →
office	13–0	0.17	15%	8 Apr →
office	9–13	-0.01	25%	8 Apr →
vertigo	13–4	0.03	13%	8 Apr →
office	13–7	0.12	36%	7 Apr →
office	4–1	-0.00	50%	7 Apr →
office	13–7	-0.00	25%	7 Apr →
office	13–2	0.18	27%	7 Apr →
office	13–4	0.01	20%	7 Apr →
office	12–12	0.02	31%	7 Apr →
office	13–6	0.07	17%	7 Apr →
inferno	14–16	0.00	18%	7 Apr →
inferno	13–9	-0.07	13%	2 Apr →
inferno	13–16	-0.01	18%	2 Apr →
inferno	5–13	-0.05	18%	2 Apr →
nuke	8–13	-0.00	12%	2 Apr →
anubis	13–11	-0.00	18%	1 Apr →
nuke	13–4	0.10	15%	1 Apr →
anubis	13–6	0.03	15%	1 Apr →
overpass	13–9	0.05	11%	1 Apr →
nuke	13–7	-0.03	13%	1 Apr →
overpass	19–17	0.02	16%	1 Apr →
inferno	6–13	-0.07	7%	1 Apr →
office	11–13	-0.06	27%	27 Mar →
overpass	13–5	0.01	31%	27 Mar →
inferno	6–13	0.02	15%	27 Mar →
inferno	13–11	0.04	11%	27 Mar →
nuke	13–10	0.09	25%	27 Mar →
dust2	13–6	0.07	31%	27 Mar →
anubis	0–13	-0.04	16%	27 Mar →
ancient	11–13	0.01	12%	27 Mar →
warden	6–1	0.08	29%	27 Mar →
office	11–13	0.03	13%	27 Mar →
office	1–13	-0.04	18%	27 Mar →
office	13–6	0.11	29%	27 Mar →
office	13–7	-0.04	21%	27 Mar →
office	13–5	0.09	7%	26 Mar →
office	12–12	0.01	10%	26 Mar →
office	13–4	0.06	27%	26 Mar →
office	13–8	0.05	15%	26 Mar →
office	8–13	0.02	11%	26 Mar →
office	4–2	-0.05	33%	26 Mar →
nuke	8–13	0.07	12%	25 Mar →
nuke	15–15	-0.05	2%	25 Mar →
nuke	12–12	-0.01	8%	23 Mar →
inferno	6–13	-0.03	20%	23 Mar →
overpass	13–8	0.02	17%	23 Mar →
office	13–8	-0.00	25%	23 Mar →
ancient	7–13	-0.02	11%	23 Mar →
office	8–13	0.00	21%	22 Mar →
office	13–7	-0.01	15%	22 Mar →
office	13–6	-0.02	13%	22 Mar →
office	13–9	0.01	15%	22 Mar →
ancient	3–13	-0.08	29%	22 Mar →
office	13–10	0.02	28%	22 Mar →
office	13–8	0.07	25%	22 Mar →
office	13–5	0.09	6%	22 Mar →
office	13–10	0.07	12%	22 Mar →
office	8–13	-0.03	29%	22 Mar →
overpass	10–13	-0.02	18%	22 Mar →
inferno	5–13	-0.02	13%	22 Mar →
poseidon	9–6	0.07	22%	22 Mar →
inferno	13–10	-0.06	8%	21 Mar →