gazouza — CS2 Stats

76561198203510020[U:1:243244292]Steam profile ↗✓ No bans

789Tracked matches48%Win rate2021Tracked since

2,676Hours in CS11Hrs last 2 wks

CSDB Rating5.8 SolidClutch Specialist

Premier CS Rating23,728Top 25% of 192,959 CSDB-tracked playersPink band · top ~4.4% of ranked players (population est.)

CSDB Leaderboard#32694 of 239702 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 23,728 → 23,728

+2Tracked matches · now 789

+3.7ppWin rate · 44.4% → 48.1%

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 45 days played since 10 May 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 23,728 +3,997 10 May – 23 Sept · 18 days played

24,164Peak Premier in tracked matches

45Days played since 2026-05-10

Premier CS Rating

436 below peak (24,164)
+148 over 30 days · steady
Next: Red band at 25,000 — 1,272 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-09-02
Purple band first seen 2026-09-02

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 Pink band among CSDB-tracked players (n=38,294), 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	Pink band median	Red band median	vs Red band
Headshot rate	46.9%	46.9%	49.2%	2.4% short
Shot accuracy	12.1%	13.0%	13.3%	1.3% short
Kill/death ratio	1.14	1.08	1.12	meets
Match win rate	45.4%	46.7%	48.5%	3.1% short

This profile matches the typical Red band player on 1 of 4 comparable metrics.

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

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Performance scores

Aim73

Positioning52

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY44–48–8Last 10044%Win rateWLWWWLLLWW

Last 10 vs previous 10: +40pp win rate · +0.03 avg rating · +1.4pp headshot accuracy · −52ms reaction

Win rate up 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

4–1 · 80% win rate
Avg rating -0.00
Avg headshot accuracy 17%
Avg reaction 552ms

Last 10

6–4 · 60% win rate
Avg rating 0.00
Avg headshot accuracy 22%
Avg reaction 521ms

Last 20

8–10–2 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 22%
Avg reaction 547ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+4 against its own average).

Aim7.3

Utility5.5

Positioning5.2

Opening Duels1.6

Clutch9.4

Reliable in 1v1s

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 sh1ro 86% 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

Aim7.3

Positioning5.2

Utility5.5

Mechanics6.5

Opening Duels2.6

Win Impact4.4

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time550ms−22ms

first ⅓ avg 571ms → last ⅓ avg 550ms

Headshot accuracy22.6%−1.2%

first ⅓ avg 23.8% → last ⅓ avg 22.6%

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

0.12Best match rating · 13–5 · mirage, 27 Jul →

60%Best headshot accuracy · 2–13 · cache, 13 Sept →

383msFastest reaction time · 13–8 · inferno, 29 May →

13–1Biggest win · ancient, 16 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak

6–5In matches decided by ≤2 rounds

5Overtime games

Map breakdown

nukeBest map · 58% over 12dust2Weakest map · 23% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	27	13–14	48%	0.00
inferno	B	20	10–10	50%	0.02
cache	D	18	6–12	33%	-0.01
dust2	D	13	3–10	23%	-0.00
nuke	A	12	7–5	58%	0.02
anubis	—	4	2–2	50%	0.01
overpass	—	2	1–1	50%	0.05
vertigo	—	2	1–1	50%	0.01
ancient	—	1	1–0	100%	-0.03
office	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

50,848Lifetime kills

1.14K/D · Top 50% of Pink band

2,508Matches

45.4%Match win rate

46.9%Headshot %

12.1%Shot accuracy

5,021MVPs

977Hours (in match)

2,297Bombs planted

454Bombs defused

Most-used weapons

AK-4716,298

AWP8,137

M4A4 / M4A1-S6,393

Desert Eagle3,186

P2000 / USP-S3,157

Glock-182,144

SSG 081,544

Galil AR1,231

MP91,230

FAMAS1,030

Lifetime map wins

4,535dust2

4,436inferno

1,876nuke

513train

468vertigo

136cbble

59office

54lake

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

Faceit stats

Combat

25Matches

68%Win rate

1.09Avg K/D

78.7ADR

52%Headshot %

Clutches & streaks

67%1v1 clutch win

0%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	4	75%	0.87	16.3
Mirage	3	33%	0.90	14.0
Anubis	2	100%	1.24	16.0
Vertigo	2	100%	0.72	11.5
Overpass	2	50%	0.88	12.0
Nuke	2	50%	1.28	13.5
Ancient	1	100%	1.00	17.0
Cache	1	100%	1.33	16.0

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.

21.8%Headshot accuracy

29.8%Accuracy (enemy spotted)

35.4%Spray accuracy

79.4%Counter-strafing

8.7°Preaim

543msReaction time

39.4%T opening success

41.3%CT opening success

0.49Enemies flashed / flash

6.4%Flash assists

7.60HE damage / grenade

16.12Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4892 — below the 0.5 mark we flag
Grenade Lineups →
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 39.3872% — 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.

23% win rate across 13 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	13–11	-0.04	18%	22 Sept →
mirage	14–16	-0.03	14%	16 Sept →
mirage	13–8	0.03	12%	16 Sept →
nuke	13–9	0.05	20%	16 Sept →
ancient	13–1	-0.03	22%	16 Sept →
cache	2–13	-0.15	60%	13 Sept →
dust2	10–13	0.05	27%	10 Sept →
inferno	5–13	0.02	15%	1 Sept →
inferno	13–8	0.09	18%	28 Aug →
mirage	13–8	0.02	16%	27 Aug →
mirage	10–13	-0.05	18%	26 Aug →
mirage	12–12	-0.01	35%	26 Aug →
mirage	12–12	-0.02	11%	25 Aug →
dust2	10–13	0.01	19%	25 Aug →
dust2	4–13	-0.06	30%	24 Aug →
dust2	2–13	-0.01	19%	24 Aug →
inferno	13–11	-0.06	28%	23 Aug →
mirage	13–7	0.04	18%	23 Aug →
dust2	9–13	-0.06	18%	23 Aug →
cache	11–13	-0.07	13%	9 Aug →
cache	13–11	0.02	23%	8 Aug →
cache	13–9	-0.01	21%	7 Aug →
inferno	8–13	0.02	29%	7 Aug →
cache	9–13	-0.03	29%	6 Aug →
dust2	12–12	-0.00	21%	5 Aug →
dust2	7–13	-0.04	10%	4 Aug →
cache	7–13	-0.06	30%	3 Aug →
nuke	13–3	-0.03	20%	3 Aug →
anubis	13–8	0.01	31%	2 Aug →
mirage	13–11	0.01	23%	2 Aug →
nuke	7–13	0.01	15%	1 Aug →
cache	13–5	0.06	40%	1 Aug →
mirage	8–13	-0.02	24%	1 Aug →
overpass	13–7	0.08	21%	1 Aug →
cache	13–5	-0.02	13%	28 Jul →
dust2	8–13	0.03	19%	28 Jul →
overpass	5–13	0.03	27%	28 Jul →
cache	11–13	0.06	24%	28 Jul →
inferno	13–7	0.08	21%	28 Jul →
anubis	2–13	-0.01	17%	28 Jul →
vertigo	13–5	0.05	23%	27 Jul →
dust2	10–13	0.05	37%	27 Jul →
nuke	13–10	0.07	29%	27 Jul →
mirage	13–5	0.12	27%	27 Jul →
nuke	5–13	-0.08	9%	26 Jul →
inferno	0–13	-0.02	22%	26 Jul →
mirage	13–10	-0.05	34%	26 Jul →
office	1–7	0.03	18%	26 Jul →
mirage	4–13	-0.07	25%	26 Jul →
mirage	9–13	-0.01	11%	26 Jul →
mirage	13–11	-0.02	15%	24 Jul →
nuke	13–5	0.00	23%	24 Jul →
inferno	13–11	0.07	17%	23 Jul →
mirage	13–8	0.06	30%	22 Jul →
mirage	7–13	0.04	17%	22 Jul →
anubis	13–10	0.00	14%	22 Jul →
nuke	13–8	0.10	20%	22 Jul →
mirage	5–13	0.07	26%	22 Jul →
nuke	10–13	0.11	24%	22 Jul →
inferno	15–15	0.06	23%	21 Jul →
mirage	7–13	-0.03	17%	21 Jul →
inferno	13–9	0.07	50%	21 Jul →
inferno	4–13	0.02	23%	20 Jul →
inferno	10–13	0.08	21%	20 Jul →
cache	16–13	0.11	17%	20 Jul →
nuke	13–3	0.04	17%	20 Jul →
nuke	12–12	-0.00	23%	19 Jul →
mirage	12–16	-0.11	9%	19 Jul →
inferno	13–5	0.02	22%	18 Jul →
cache	13–10	-0.00	10%	17 Jul →
inferno	13–10	-0.01	46%	17 Jul →
nuke	13–2	0.02	26%	16 Jul →
inferno	13–4	0.11	28%	16 Jul →
cache	9–13	0.11	23%	12 Jul →
mirage	8–13	0.03	20%	11 Jul →
mirage	15–15	0.02	28%	10 Jul →
mirage	13–1	0.04	33%	10 Jul →
mirage	11–13	0.01	18%	29 Jun →
inferno	11–13	-0.10	29%	28 Jun →
mirage	13–10	0.04	20%	22 Jun →
dust2	5–13	-0.01	14%	22 Jun →
dust2	13–8	-0.00	30%	14 Jun →
inferno	13–7	0.01	21%	14 Jun →
mirage	13–6	-0.02	12%	13 Jun →
vertigo	8–13	-0.04	14%	31 May →
cache	4–13	-0.04	9%	31 May →
anubis	11–11	0.04	30%	29 May →
inferno	13–8	-0.00	17%	29 May →
inferno	10–13	-0.04	15%	17 May →
inferno	4–13	-0.02	22%	17 May →
nuke	3–13	-0.05	44%	11 May →
dust2	13–3	0.02	33%	10 May →
mirage	13–9	0.04	22%	10 May →
inferno	4–13	-0.08	57%	10 May →
dust2	13–6	-0.01	19%	10 May →
cache	4–13	-0.07	0%	10 May →
cache	7–13	-0.04	23%	10 May →
cache	12–12	-0.06	25%	10 May →
cache	5–13	-0.03	26%	10 May →
cache	1–13	0.03	39%	10 May →