『𝕛𝕒𝕕𝕖𝕕』 — CS2 Stats

US76561198333348631[U:1:373082903]Steam profile ↗✓ No bans

4,468Tracked matches41%Win rate2020Tracked since

4,982Hours in CS35Hrs last 2 wks

CSDB Rating5.6 SolidSupport

Premier CS Rating21,346Top 50% of 205,052 CSDB-tracked playersPink band · top ~7% of ranked players (population est.)

CSDB Leaderboard#63212 of 252241 tracked

FaceitLevel 8 · 1,647 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (2 days ago). 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: 21,346 +1,848 25 Jul – 14 Oct · 25 days played

Faceit ELO: 1,647 +0 29 Aug – 9 Sept · 2 observations

22,230Peak Premier in tracked matches

1,647Highest Faceit ELO seen on CSDB

42Days played since 2026-07-23

Faceit ELO

At peak — 1,647
Next: Level 9 at 1,751 — 104 to go
Reached: Level 8 · Level 7 · Level 6 · Level 5
Level 8 first seen 2026-08-29
Level 7 first seen 2026-08-29

Premier CS Rating

884 below peak (22,230)
-780 over 30 days · declining
+1,848 over 90 days
Next: Red band at 25,000 — 3,654 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-29
Purple band first seen 2026-08-29

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	122	—	—
Win rate	43%	—	—
K/D	0.92	—	—
Headshot %	36%	—	—

Measured 13 Sep 2026 → 16 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 8 among CSDB-tracked players (n=15,088), 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 8 median	Level 9 median	vs Level 9
Headshot rate	38.4%	46.8%	48.2%	9.9% short
Shot accuracy	8.0%	13.0%	13.2%	5.2% short
Kill/death ratio	0.86	1.06	1.07	0.21 short
Match win rate	44.8%	46.3%	46.9%	2.1% short

This profile sits below the typical Level 9 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim61

Positioning60

Utility67

0–100 skill scores via Leetify.

Recent form

STEADY58–40–2Last 10058%Win rateLWLLWWLWLL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +2.8pp headshot accuracy · −11ms reaction

Win rate up 20pp 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

2–3 · 40% win rate
Avg rating 0.01
Avg headshot accuracy 21%
Avg reaction 597ms

Last 10

4–6 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 15%
Avg reaction 545ms

Last 20

6–14 · 30% win rate
Avg rating -0.01
Avg headshot accuracy 14%
Avg reaction 551ms

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: Support — Utility contribution stands above the rest of this profile (+2 against its own average).

Aim6.1

Utility6.7

Positioning6.0

Opening Duels2.7

Clutch3.4

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 ZywOo 78% 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

Aim6.1

Positioning6.0

Utility6.7

Mechanics6.3

Opening Duels2.9

Win Impact2.1

Composite 5.6/10 (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 time540ms−89ms

first ⅓ avg 629ms → last ⅓ avg 540ms

Headshot accuracy12.8%−3.6%

first ⅓ avg 16.4% → last ⅓ avg 12.8%

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

0.09Best match rating · 13–6 · dust2, 12 Aug →

31%Best headshot accuracy · 13–10 · dust2, 29 Jul →

359msFastest reaction time · 8–13 · ancient, 25 Sept →

13–3Biggest win · dust2, 30 Sept →

Across the last 100 tracked matches.

Highlights

10Longest win streak

7–9In matches decided by ≤2 rounds

16Overtime games

Map breakdown

anubisBest map · 67% over 9ancientWeakest map · 47% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	33	20–13	61%	-0.00
ancient	B	15	7–8	47%	-0.01
cache	A	14	9–5	64%	-0.01
inferno	A	12	7–5	58%	-0.01
mirage	B	10	5–5	50%	-0.01
anubis	S	9	6–3	67%	-0.01
nuke	A	7	4–3	57%	-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (47% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

107,002Lifetime kills

0.86K/D

6,886Matches

44.8%Match win rate

38.4%Headshot %

8.0%Shot accuracy

13,362MVPs

3,001Hours (in match)

9,433Bombs planted

1,986Bombs defused

Most-used weapons

AK-4734,060

M4A4 / M4A1-S15,465

AWP6,555

Desert Eagle6,192

MAC-105,918

P2000 / USP-S5,467

MP94,037

Glock-183,865

Knife2,524

Dual Berettas2,090

Lifetime map wins

10,346dust2

7,101inferno

2,909nuke

1,636vertigo

1,053train

699office

78lake

30cbble

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

Faceit stats

Combat

1,379Matches

50%Win rate

0.98Avg K/D

77.9ADR

42%Headshot %

Clutches & streaks

37%1v1 clutch win

18%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	308	49%	0.93	14.7
Mirage	302	54%	1.19	15.5
Ancient	189	49%	0.93	14.4
Anubis	176	45%	0.92	15.1
Inferno	174	45%	0.92	14.3
Nuke	85	48%	0.92	14.3
Vertigo	53	45%	0.84	13.8
Cache	42	50%	0.92	14.1

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.

13.3%Headshot accuracy

33.3%Accuracy (enemy spotted)

34.6%Spray accuracy

78.3%Counter-strafing

10.4°Preaim

536msReaction time

35.4%T opening success

47.5%CT opening success

0.57Enemies flashed / flash

9.5%Flash assists

11.85HE damage / grenade

11.72Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.2934% — below the 15% mark we flag
Aim Training →
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 35.3631% — 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.

47% win rate across 15 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
dust2	13–16	-0.02	25%	14 Oct →
inferno	13–5	0.04	10%	14 Oct →
dust2	13–16	0.02	26%	13 Oct →
cache	9–13	0.03	18%	10 Oct →
dust2	19–15	-0.04	25%	10 Oct →
dust2	13–6	0.00	14%	10 Oct →
nuke	12–16	-0.06	6%	10 Oct →
ancient	13–9	-0.01	11%	9 Oct →
ancient	8–13	0.01	5%	7 Oct →
cache	5–13	-0.04	11%	5 Oct →
cache	13–10	0.04	16%	4 Oct →
dust2	12–16	0.05	16%	4 Oct →
inferno	2–13	-0.06	6%	4 Oct →
inferno	11–13	0.01	16%	3 Oct →
ancient	7–13	-0.06	16%	3 Oct →
dust2	11–13	-0.05	12%	2 Oct →
inferno	11–13	-0.00	18%	2 Oct →
cache	13–11	-0.01	2%	2 Oct →
anubis	3–13	-0.05	21%	2 Oct →
mirage	0–13	-0.09	0%	2 Oct →
dust2	2–13	-0.11	11%	2 Oct →
inferno	12–3	-0.07	9%	1 Oct →
mirage	13–8	-0.02	11%	30 Sept →
dust2	13–3	0.03	12%	30 Sept →
nuke	15–15	0.00	5%	30 Sept →
ancient	13–10	-0.00	7%	30 Sept →
cache	10–13	-0.03	13%	27 Sept →
nuke	13–4	0.08	18%	27 Sept →
ancient	8–13	-0.00	10%	25 Sept →
ancient	16–13	0.01	13%	24 Sept →
dust2	13–10	-0.02	13%	24 Sept →
dust2	13–8	-0.01	11%	23 Sept →
mirage	14–16	-0.01	17%	20 Sept →
mirage	7–13	0.07	14%	20 Sept →
cache	11–13	0.01	10%	20 Sept →
ancient	14–16	0.07	13%	20 Sept →
ancient	7–13	-0.10	8%	18 Sept →
cache	13–11	-0.02	10%	16 Sept →
cache	13–8	-0.02	7%	16 Sept →
inferno	13–7	0.05	9%	16 Sept →
dust2	10–13	-0.01	7%	16 Sept →
anubis	3–13	0.02	13%	11 Sept →
dust2	13–9	0.02	15%	9 Sept →
dust2	13–8	0.07	14%	9 Sept →
dust2	15–15	0.03	12%	8 Sept →
inferno	13–8	0.01	23%	2 Sept →
anubis	13–8	-0.04	6%	2 Sept →
dust2	13–9	0.01	23%	2 Sept →
mirage	8–13	0.04	20%	2 Sept →
ancient	13–10	-0.03	14%	28 Aug →
dust2	10–13	0.01	22%	28 Aug →
anubis	13–8	-0.07	20%	28 Aug →
mirage	22–18	0.02	12%	26 Aug →
nuke	13–9	-0.08	10%	26 Aug →
nuke	10–13	-0.00	8%	23 Aug →
mirage	6–13	-0.06	11%	23 Aug →
anubis	13–4	0.08	17%	23 Aug →
mirage	13–11	-0.03	18%	23 Aug →
ancient	8–13	0.04	12%	22 Aug →
dust2	16–14	0.01	4%	21 Aug →
ancient	13–7	-0.01	18%	16 Aug →
dust2	12–16	-0.05	9%	15 Aug →
inferno	13–9	0.02	19%	15 Aug →
dust2	13–10	0.03	20%	14 Aug →
dust2	13–8	0.04	18%	14 Aug →
inferno	13–6	-0.03	8%	13 Aug →
anubis	13–7	0.01	17%	12 Aug →
dust2	13–6	0.09	22%	12 Aug →
inferno	13–8	0.02	8%	12 Aug →
anubis	13–11	0.08	13%	8 Aug →
mirage	13–10	0.00	24%	8 Aug →
ancient	13–10	0.06	18%	6 Aug →
dust2	11–13	0.05	17%	4 Aug →
dust2	13–7	0.01	16%	4 Aug →
dust2	13–9	-0.02	11%	4 Aug →
anubis	16–13	-0.08	12%	4 Aug →
dust2	10–13	-0.02	15%	4 Aug →
cache	13–10	-0.06	11%	3 Aug →
nuke	13–6	0.01	15%	3 Aug →
ancient	11–13	-0.08	8%	3 Aug →
dust2	13–10	-0.00	15%	30 Jul →
cache	13–11	0.00	14%	29 Jul →
ancient	9–13	-0.07	19%	29 Jul →
dust2	13–10	-0.07	31%	29 Jul →
dust2	13–6	0.03	30%	29 Jul →
cache	16–13	-0.04	10%	28 Jul →
dust2	10–13	-0.01	13%	28 Jul →
dust2	8–13	-0.03	14%	25 Jul →
ancient	13–8	-0.01	19%	25 Jul →
cache	3–13	-0.06	10%	25 Jul →
nuke	13–10	-0.06	15%	25 Jul →
mirage	13–8	-0.05	13%	25 Jul →
dust2	13–7	0.00	20%	24 Jul →
inferno	11–13	-0.07	23%	24 Jul →
cache	13–10	0.04	22%	24 Jul →
cache	16–13	0.02	20%	24 Jul →
anubis	6–13	-0.06	25%	24 Jul →
dust2	13–10	-0.03	11%	23 Jul →
inferno	7–13	0.01	9%	23 Jul →
dust2	13–11	-0.04	21%	23 Jul →