zUUro — CS2 Stats

76561198059085609[U:1:98819881]Steam profile ↗✓ No bans

2,829Tracked matches43%Win rate2023Tracked since

2,833Hours in CS51Hrs last 2 wks

CSDB Rating5.4 DevelopingPositional Player

Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)

CSDB Leaderboard#140009 of 247855 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 15,000 +279 13 Sept – 30 Sept · 9 days played

16,456Peak Premier in tracked matches

19Days played since 2026-09-12

Premier CS Rating

826 below peak (15,826)
Next: Pink band at 20,000 — 5,000 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-09-17
Blue band first seen 2026-09-17

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,040), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 3 median	Level 4 median	vs Level 4
Headshot rate	39.5%	41.8%	42.7%	3.2% short
Shot accuracy	1.2%	12.2%	11.3%	10.1% short
Kill/death ratio	1.02	0.98	0.99	above
Match win rate	46.2%	43.3%	43.9%	above

This profile matches the typical Level 4 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim56

Positioning64

Utility61

0–100 skill scores via Leetify.

Recent form

COLD51–45–4Last 10051%Win rateLLWLLLWLLL

Last 10 vs previous 10: −40pp win rate · −0.04 avg rating · +4.1pp headshot accuracy · −52ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

1–4 · 20% win rate
Avg rating -0.07
Avg headshot accuracy 15%
Avg reaction 497ms

Last 10

2–8 · 20% win rate
Avg rating -0.03
Avg headshot accuracy 15%
Avg reaction 481ms

Last 20

8–12 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 13%
Avg reaction 507ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim5.6

Utility6.1

Positioning6.4

Opening Duels4.1

Clutch3.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like jL 75% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim5.6

Positioning6.4

Utility6.1

Mechanics5.2

Opening Duels4.6

Win Impact2.8

Composite 5.4/10 (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 rating-0.01−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time535ms−75ms

first ⅓ avg 610ms → last ⅓ avg 535ms

Headshot accuracy14.7%+0.9%

first ⅓ avg 13.8% → last ⅓ avg 14.7%

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.

Personal bests

0.16Best match rating · 13–8 · nuke, 15 Sept →

30%Best headshot accuracy · 8–13 · dust2, 15 Sept →

359msFastest reaction time · 13–9 · nuke, 29 Sept →

13–0Biggest win · ancient, 27 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak

L2Current streak

3–6In matches decided by ≤2 rounds

2Overtime games

Map breakdown

dust2Best map · 52% over 62nukeWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	62	32–30	52%	0.00
nuke	C	10	4–6	40%	-0.01
cache	C	7	3–4	43%	-0.04
inferno	C	7	3–4	43%	-0.01
ancient	—	4	3–1	75%	-0.01
fachwerk	—	3	3–0	100%	0.02
overpass	—	2	0–2	0%	-0.01
anubis	—	2	1–1	50%	-0.03
shelter	—	2	2–0	100%	0.04
boulder	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

57,056Lifetime kills

1.02K/D · Top 50% of Level 3 players

3,677Matches

46.2%Match win rate · Top 50% of Level 3 players

39.5%Headshot %

1.2%Shot accuracy

6,065MVPs

1,362Hours (in match)

3,798Bombs planted

523Bombs defused

Most-used weapons

AK-4716,005

M4A4 / M4A1-S9,217

MP78,097

AWP7,194

P2000 / USP-S2,752

Glock-182,667

Desert Eagle1,767

Galil AR903

XM1014852

Tec-9813

Lifetime map wins

18,930dust2

3,214inferno

2,487nuke

634train

588vertigo

314office

22italy

12dust

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

47Matches

40%Win rate

0.72Avg K/D

64.9ADR

35%Headshot %

Clutches & streaks

38%1v1 clutch win

21%1v2 clutch win

4Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	11	36%	0.79	12.0
Inferno	10	20%	0.55	8.8
Nuke	9	78%	0.92	11.8
Mirage	7	29%	0.68	10.7
Anubis	6	50%	0.68	9.7
Vertigo	2	0%	0.54	10.0
Train	1	0%	0.74	14.0
Ancient	1	100%	0.65	11.0

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.

15.3%Headshot accuracy

30.3%Accuracy (enemy spotted)

34.8%Spray accuracy

73.3%Counter-strafing

10.5°Preaim

535msReaction time

45.3%T opening success

51.8%CT opening success

0.59Enemies flashed / flash

8.0%Flash assists

7.45HE damage / grenade

10.42Flashes / match

Recommended for you

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	4–13	-0.06	13%	30 Sept →
cache	3–13	-0.08	7%	30 Sept →
nuke	13–9	-0.04	22%	29 Sept →
nuke	5–13	-0.06	7%	29 Sept →
ancient	4–13	-0.09	28%	28 Sept →
inferno	8–13	-0.04	12%	28 Sept →
dust2	13–11	0.05	23%	28 Sept →
overpass	7–13	0.01	21%	28 Sept →
nuke	8–13	-0.03	21%	28 Sept →
nuke	0–2	-0.00	0%	28 Sept →
fachwerk	13–7	0.09	6%	27 Sept →
dust2	10–13	-0.03	8%	27 Sept →
dust2	13–16	-0.01	6%	27 Sept →
nuke	13–7	-0.01	13%	27 Sept →
inferno	13–8	0.06	13%	27 Sept →
ancient	13–0	0.03	10%	27 Sept →
cache	5–13	-0.07	8%	27 Sept →
anubis	12–16	-0.01	12%	27 Sept →
dust2	13–6	0.00	17%	27 Sept →
dust2	13–4	0.05	19%	27 Sept →
dust2	13–5	0.03	18%	27 Sept →
dust2	7–13	-0.00	20%	26 Sept →
dust2	3–13	-0.13	0%	26 Sept →
dust2	13–11	-0.00	20%	25 Sept →
dust2	10–13	0.03	27%	25 Sept →
dust2	9–13	0.01	16%	25 Sept →
nuke	13–4	0.01	11%	24 Sept →
ancient	13–6	-0.03	13%	24 Sept →
dust2	13–7	0.11	16%	24 Sept →
dust2	4–13	-0.05	29%	24 Sept →
dust2	7–13	-0.10	16%	23 Sept →
dust2	13–10	0.01	13%	23 Sept →
dust2	11–13	0.01	18%	23 Sept →
dust2	12–12	0.02	21%	22 Sept →
dust2	5–13	0.04	16%	21 Sept →
nuke	6–13	0.02	14%	21 Sept →
dust2	13–6	0.02	15%	21 Sept →
dust2	11–13	-0.04	15%	21 Sept →
dust2	13–7	0.03	8%	20 Sept →
dust2	13–5	0.01	24%	20 Sept →
dust2	13–8	-0.00	19%	20 Sept →
dust2	13–5	-0.01	11%	20 Sept →
dust2	13–2	0.08	11%	20 Sept →
dust2	13–6	-0.04	15%	19 Sept →
dust2	11–13	0.00	13%	19 Sept →
boulder	11–13	-0.02	9%	18 Sept →
dust2	3–13	-0.07	21%	18 Sept →
inferno	13–11	0.06	6%	18 Sept →
dust2	13–10	0.04	9%	18 Sept →
dust2	13–2	0.11	22%	18 Sept →
dust2	13–3	0.04	17%	18 Sept →
dust2	4–13	-0.04	22%	17 Sept →
dust2	13–10	0.06	12%	17 Sept →
dust2	13–6	0.02	15%	17 Sept →
dust2	5–13	-0.03	11%	17 Sept →
dust2	6–13	0.00	22%	16 Sept →
ancient	13–4	0.02	5%	16 Sept →
cache	5–13	-0.08	9%	16 Sept →
inferno	2–13	-0.09	24%	16 Sept →
dust2	13–3	-0.04	4%	16 Sept →
cache	13–3	0.05	12%	16 Sept →
dust2	1–7	0.02	11%	16 Sept →
overpass	12–12	-0.03	13%	15 Sept →
anubis	13–8	-0.04	16%	15 Sept →
dust2	13–3	0.05	17%	15 Sept →
nuke	13–8	0.16	22%	15 Sept →
dust2	8–13	0.03	30%	15 Sept →
inferno	8–13	-0.06	17%	15 Sept →
dust2	6–13	-0.01	18%	15 Sept →
fachwerk	13–0	0.05	17%	15 Sept →
dust2	13–1	-0.05	0%	15 Sept →
dust2	13–9	0.02	18%	15 Sept →
dust2	5–13	0.00	18%	15 Sept →
dust2	12–12	-0.05	11%	14 Sept →
dust2	6–13	-0.03	10%	14 Sept →
cache	8–13	-0.04	13%	14 Sept →
dust2	13–9	0.08	21%	14 Sept →
shelter	13–1	0.05	9%	14 Sept →
fachwerk	13–8	-0.07	10%	14 Sept →
inferno	13–5	0.01	11%	14 Sept →
dust2	13–9	-0.02	7%	14 Sept →
dust2	13–6	0.05	25%	14 Sept →
dust2	13–6	0.03	17%	14 Sept →
dust2	13–9	0.04	16%	14 Sept →
inferno	9–13	0.00	14%	13 Sept →
cache	13–10	-0.03	10%	13 Sept →
nuke	5–13	-0.07	16%	13 Sept →
dust2	11–13	0.02	17%	13 Sept →
dust2	13–0	0.11	29%	13 Sept →
shelter	13–5	0.03	15%	13 Sept →
dust2	12–12	-0.01	5%	13 Sept →
cache	13–9	-0.02	4%	13 Sept →
dust2	7–13	-0.04	13%	13 Sept →
dust2	13–5	-0.03	9%	13 Sept →
dust2	5–13	-0.04	26%	12 Sept →
dust2	13–5	0.06	14%	12 Sept →
dust2	1–13	-0.08	5%	12 Sept →
dust2	13–7	0.03	17%	12 Sept →
dust2	3–13	-0.09	11%	12 Sept →
dust2	10–13	-0.03	11%	12 Sept →