zizouuu𐕣 — CS2 Stats

76561198108660703[U:1:148394975]Steam profile ↗✓ No bans

4,242Tracked matches60%Win rate2020Tracked since

9,477Hours in CS59Hrs last 2 wks

CSDB Rating8.5 ElitePositional Player

CSDB Leaderboard#203116 of 250891 tracked

FaceitLevel 10 · 3,308 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (35 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 3,308 → 3,308

+61Tracked matches · now 4,242

0.0ppWin rate · 60.0% → 60.0%

Rating over time

Premier CS Rating: 30,000 +1,384 1 May – 29 Jun · 5 days played

Faceit ELO: 3,308 +0 1 Sept – 3 Sept · 2 observations

30,837Peak Premier in tracked matches

3,308Highest Faceit ELO seen on CSDB

41Days played since 2026-04-27

Faceit ELO

At peak — 3,308
Next: 3,500 ELO at 3,500 — 192 to go
Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
3,000 ELO first seen 2026-09-01
2,500 ELO first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

Metric	Last 30	Previous 30	Change
Matches	102	—	—
Win rate	53%	—	—
K/D	0.98	—	—
Headshot %	64%	—	—

Measured 4 Sep 2026 → 8 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,304), 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 10 median
Headshot rate	49.3%	50.9%
Shot accuracy	11.7%	13.7%
Kill/death ratio	1.43	1.09
Match win rate	54.8%	48.4%

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim93

Positioning78

Utility69

0–100 skill scores via Leetify.

Recent form

STEADY67–32–1Last 10067%Win rateLLWWWLLLLW

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +2.3pp headshot accuracy · +31ms reaction

Win rate down 30pp 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

3–2 · 60% win rate
Avg rating 0.02
Avg headshot accuracy 18%
Avg reaction 425ms

Last 10

4–6 · 40% win rate
Avg rating 0.04
Avg headshot accuracy 20%
Avg reaction 420ms

Last 20

11–9 · 55% win rate
Avg rating 0.04
Avg headshot accuracy 19%
Avg reaction 405ms

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 (+1.6 against its own average).

Aim9.3

Utility6.9

Positioning7.8

Opening Duels5.6

Clutch4.4

Sharp aimerStrong 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.

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 94% playstyle similarity

Most alike: positioning profile, 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

Strengths

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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

Aim9.3

Positioning7.8

Utility6.9

Mechanics7.9

Opening Duels6.9

Win Impact8.3

Composite 8.5/10 (Elite), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04−0.01

first ⅓ avg 0.04 → last ⅓ avg 0.04

Reaction time428ms−37ms

first ⅓ avg 465ms → last ⅓ avg 428ms

Headshot accuracy19.8%−0.2%

first ⅓ avg 20.0% → last ⅓ avg 19.8%

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

0.23Best match rating · 13–5 · cache, 31 Jul →

38%Best headshot accuracy · 13–7 · ancient, 24 Jul →

305msFastest reaction time · 13–0 · ancient, 6 May →

13–0Biggest win · ancient, 6 May →

Across the last 100 tracked matches.

Highlights

18Longest win streak

L2Current streak

7–8In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 92% over 12anubisWeakest map · 44% over 9

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	26	13–13	50%	0.03
mirage	S	19	13–6	68%	0.02
nuke	S	12	8–4	67%	0.02
ancient	S	12	11–1	92%	0.07
cache	S	11	9–2	82%	0.07
dust2	S	10	8–2	80%	0.06
anubis	C	9	4–5	44%	0.03
overpass	—	1	1–0	100%	0.08

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

353,322Lifetime kills

1.43K/D · Top 10% of Level 10 players

11,130Matches

54.8%Match win rate · Top 10% of Level 10 players

49.3%Headshot %

11.7%Shot accuracy

51,257MVPs

7,160Hours (in match)

12,762Bombs planted

9,516Bombs defused

Most-used weapons

AK-47136,212

M4A4 / M4A1-S58,037

AWP41,258

Desert Eagle25,210

P2000 / USP-S21,048

Glock-1813,529

P2506,413

MP95,309

Galil AR5,148

Knife4,613

Lifetime map wins

22,432inferno

22,211dust2

11,735nuke

4,457train

3,652vertigo

1,304cbble

410dust

303aztec

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

Faceit stats

Combat

1,885Matches

58%Win rate

1.49Avg K/D

93.4ADR

48%Headshot %

Clutches & streaks

42%1v1 clutch win

25%1v2 clutch win

12Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	442	56%	1.47	20.4
Inferno	255	62%	1.56	19.4
Ancient	217	63%	1.48	20.4
Dust2	206	56%	1.41	18.4
Anubis	199	51%	1.42	19.3
Nuke	166	57%	1.47	19.5
Train	81	57%	1.50	20.0
Overpass	58	66%	2.21	19.4

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.

20.5%Headshot accuracy

39.9%Accuracy (enemy spotted)

42.0%Spray accuracy

85.5%Counter-strafing

9.2°Preaim

439msReaction time

50.7%T opening success

64.5%CT opening success

0.57Enemies flashed / flash

9.2%Flash assists

8.85HE damage / grenade

17.31Flashes / match

Recommended for you

Spend your practice time on Anubis

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

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	11–13	0.02	22%	26 Sept →
nuke	10–13	-0.00	13%	26 Sept →
dust2	16–12	0.08	26%	26 Sept →
mirage	13–11	-0.03	15%	25 Sept →
inferno	19–15	0.01	13%	25 Sept →
inferno	11–13	0.02	30%	24 Sept →
nuke	10–13	0.02	20%	23 Sept →
inferno	11–13	0.03	22%	23 Sept →
mirage	9–13	0.05	16%	3 Sept →
ancient	13–7	0.17	26%	3 Sept →
nuke	13–4	0.15	18%	3 Sept →
inferno	13–9	0.04	13%	3 Sept →
dust2	13–3	0.06	23%	2 Sept →
mirage	13–8	0.02	16%	31 Aug →
dust2	13–9	0.11	22%	30 Aug →
mirage	0–3	-0.01	0%	29 Aug →
ancient	13–11	0.08	19%	29 Aug →
cache	13–6	0.06	23%	29 Aug →
inferno	8–13	0.02	22%	28 Aug →
anubis	5–13	-0.06	24%	28 Aug →
inferno	8–13	-0.01	14%	26 Aug →
nuke	13–5	0.00	22%	26 Aug →
mirage	13–5	0.00	20%	26 Aug →
dust2	13–5	0.07	27%	25 Aug →
inferno	19–17	0.02	21%	17 Aug →
anubis	13–9	0.11	18%	14 Aug →
inferno	6–13	-0.01	28%	12 Aug →
dust2	6–13	-0.03	15%	12 Aug →
inferno	13–8	0.08	34%	12 Aug →
inferno	13–9	0.11	20%	11 Aug →
anubis	6–13	-0.01	22%	11 Aug →
mirage	13–10	-0.02	13%	11 Aug →
anubis	4–13	0.00	15%	10 Aug →
nuke	10–13	0.05	17%	10 Aug →
mirage	9–13	-0.00	30%	10 Aug →
anubis	13–11	0.03	11%	10 Aug →
mirage	13–8	-0.01	14%	7 Aug →
inferno	13–9	0.06	27%	7 Aug →
nuke	10–13	-0.05	18%	4 Aug →
inferno	16–13	-0.01	28%	4 Aug →
mirage	13–4	0.09	27%	4 Aug →
mirage	11–13	-0.01	18%	3 Aug →
anubis	13–7	0.02	20%	3 Aug →
inferno	8–13	-0.00	20%	3 Aug →
inferno	7–13	0.08	28%	1 Aug →
dust2	13–5	0.06	19%	1 Aug →
mirage	13–9	0.05	18%	31 Jul →
cache	13–5	0.23	18%	31 Jul →
cache	13–6	0.06	32%	25 Jul →
ancient	13–7	0.14	38%	24 Jul →
nuke	13–9	-0.01	17%	17 Jul →
inferno	16–14	0.05	20%	17 Jul →
nuke	13–6	-0.02	18%	17 Jul →
inferno	13–9	0.04	20%	17 Jul →
mirage	6–13	0.00	23%	17 Jul →
inferno	5–13	-0.02	12%	17 Jul →
ancient	13–2	0.08	17%	6 Jul →
inferno	11–13	0.06	16%	29 Jun →
dust2	3–13	0.03	24%	29 Jun →
mirage	13–10	0.07	25%	29 Jun →
anubis	11–13	0.02	23%	29 Jun →
dust2	13–9	0.09	28%	29 Jun →
inferno	0–5	-0.06	17%	27 Jun →
anubis	13–2	0.18	17%	27 Jun →
mirage	13–9	0.12	25%	27 Jun →
ancient	16–13	0.08	25%	27 Jun →
dust2	13–8	0.05	29%	27 Jun →
nuke	13–9	0.04	14%	27 Jun →
nuke	13–8	-0.06	22%	20 Jun →
ancient	14–12	-0.03	16%	18 Jun →
mirage	8–3	0.07	13%	18 Jun →
inferno	13–6	-0.02	18%	18 Jun →
inferno	14–16	0.01	18%	1 Jun →
mirage	13–10	0.00	14%	13 May →
cache	13–8	0.20	21%	9 May →
nuke	13–6	0.06	24%	9 May →
cache	13–5	0.06	29%	9 May →
inferno	13–7	0.21	34%	9 May →
ancient	13–10	0.07	23%	8 May →
ancient	13–0	0.15	37%	6 May →
mirage	13–7	0.03	13%	4 May →
ancient	13–6	0.12	24%	2 May →
dust2	13–9	0.03	21%	2 May →
inferno	13–9	0.06	16%	2 May →
overpass	13–4	0.08	23%	1 May →
ancient	13–10	0.01	22%	1 May →
nuke	13–9	0.06	22%	1 May →
cache	13–5	0.05	27%	1 May →
cache	13–11	0.04	20%	1 May →
cache	13–5	-0.03	8%	1 May →
cache	13–3	0.08	23%	1 May →
cache	12–12	0.07	15%	1 May →
mirage	13–5	0.10	16%	1 May →
cache	8–13	0.01	22%	1 May →
inferno	8–13	-0.00	17%	29 Apr →
mirage	11–13	-0.05	16%	29 Apr →
ancient	13–4	0.05	17%	28 Apr →
inferno	19–15	0.05	19%	28 Apr →
ancient	5–13	-0.04	12%	27 Apr →
anubis	3–13	-0.05	23%	27 Apr →