N y A n cat — CS2 Stats

NE76561198408139925[U:1:447874197]Steam profile ↗✓ No bans

1,159Tracked matches33%Win rate2020Tracked since

2,013Hours in CS31Hrs last 2 wks

CSDB Rating6.4 SolidSupport

Premier CS Rating25,646Top 10% of 213,211 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)

CSDB Leaderboard#16113 of 259940 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+103Premier CS Rating · 25,543 → 25,646

Rating over time

Premier CS Rating: 25,646 +749 21 Sept – 4 Nov · 30 days played

26,243Peak Premier in tracked matches

32Days played since 2026-09-21

Premier CS Rating

597 below peak (26,243)
+47 over 30 days · steady
Next: Gold band at 30,000 — 4,354 to go
Reached: Red band · Pink band · Purple band · Blue band

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=10,505), 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	37.2%	41.8%	42.7%	5.5% short
Shot accuracy	6.1%	12.2%	11.2%	5.1% short
Kill/death ratio	1.22	0.98	0.99	above
Match win rate	50.3%	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

Aim82

Positioning65

Utility67

0–100 skill scores via Leetify.

Recent form

STEADY38–62Last 10038%Win rateLWWLLLWWLW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −3.0pp headshot accuracy · −32ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 14%
Avg reaction 483ms

Last 10

5–5 · 50% win rate
Avg rating -0.01
Avg headshot accuracy 16%
Avg reaction 472ms

Last 20

9–11 · 45% win rate
Avg rating -0.00
Avg headshot accuracy 18%
Avg reaction 488ms

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 (+0.9 against its own average).

Aim8.2

Utility6.7

Positioning6.5

Opening Duels4.1

Effective flashes

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 Twistzz 92% playstyle similarity

Most alike: utility contribution, positioning 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

Aim8.2

Positioning6.5

Utility6.7

Mechanics5.0

Opening Duels5.4

Win Impact0.0

Composite 6.4/10 (Solid), 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 rating0.02−0.01

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time469ms−17ms

first ⅓ avg 486ms → last ⅓ avg 469ms

Headshot accuracy16.9%+1.3%

first ⅓ avg 15.6% → last ⅓ avg 16.9%

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.

Personal bests

0.30Best match rating · 9–1 · overpass, 9 Oct →

38%Best headshot accuracy · 9–1 · overpass, 9 Oct →

250msFastest reaction time · 6–13 · inferno, 22 Sept →

13–2Biggest win · mirage, 14 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak

9–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

anubisBest map · 64% over 11dust2Weakest map · 21% over 19

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	28	11–17	39%	0.04
dust2	D	19	4–15	21%	0.04
cache	D	14	4–10	29%	0.03
ancient	D	13	3–10	23%	0.00
anubis	A	11	7–4	64%	0.02
mirage	B	8	4–4	50%	-0.00
nuke	A	5	3–2	60%	-0.00
train	—	1	1–0	100%	0.05
overpass	—	1	1–0	100%	0.30

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (21% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

53,002Lifetime kills

1.22K/D · Top 25% of Level 3 players

2,569Matches

50.3%Match win rate · Top 10% of Level 3 players

37.2%Headshot %

6.1%Shot accuracy

7,081MVPs

1,045Hours (in match)

3,587Bombs planted

732Bombs defused

Most-used weapons

AK-4718,040

M4A4 / M4A1-S10,087

AWP7,562

P2000 / USP-S2,964

Glock-182,016

Desert Eagle2,010

MP91,705

MAC-101,457

FAMAS899

P250798

Lifetime map wins

5,312inferno

3,639dust2

1,613vertigo

1,354nuke

580train

112assault

62italy

23cbble

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

Faceit stats

Combat

36Matches

67%Win rate

1.11Avg K/D

—ADR

26%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

8Longest win streak

Recent Faceit resultsWWLWW

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.

16.8%Headshot accuracy

37.2%Accuracy (enemy spotted)

36.3%Spray accuracy

72.4%Counter-strafing

7.2°Preaim

464msReaction time

56.2%T opening success

46.9%CT opening success

0.73Enemies flashed / flash

5.5%Flash assists

11.62HE damage / grenade

10.66Flashes / match

Recommended for you

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.

21% win rate across 19 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
cache	0–13	-0.05	3%	4 Nov →
nuke	13–10	-0.03	14%	4 Nov →
inferno	9–2	0.08	22%	4 Nov →
inferno	3–9	-0.05	23%	4 Nov →
cache	5–13	-0.06	7%	3 Nov →
ancient	7–13	-0.02	14%	3 Nov →
mirage	13–10	-0.04	12%	3 Nov →
inferno	16–12	0.11	10%	2 Nov →
dust2	8–13	-0.03	32%	2 Nov →
cache	16–14	0.05	24%	2 Nov →
ancient	2–13	-0.07	22%	2 Nov →
dust2	4–13	-0.05	26%	2 Nov →
cache	13–11	-0.02	14%	1 Nov →
nuke	7–13	-0.04	28%	1 Nov →
ancient	13–10	0.01	8%	1 Nov →
ancient	10–13	-0.03	23%	1 Nov →
cache	11–13	0.10	14%	31 Oct →
mirage	13–11	0.01	27%	31 Oct →
inferno	13–9	0.11	16%	31 Oct →
dust2	9–13	0.03	13%	31 Oct →
dust2	9–13	0.10	19%	30 Oct →
ancient	3–13	0.06	13%	30 Oct →
dust2	6–13	0.01	20%	30 Oct →
ancient	1–13	0.01	20%	30 Oct →
nuke	3–13	-0.04	0%	29 Oct →
cache	8–13	0.09	17%	29 Oct →
dust2	10–13	0.15	17%	29 Oct →
dust2	7–13	0.03	21%	28 Oct →
dust2	16–14	0.07	19%	27 Oct →
ancient	16–14	0.04	10%	27 Oct →
mirage	10–13	0.00	18%	26 Oct →
dust2	11–13	0.11	18%	23 Oct →
inferno	13–8	0.16	15%	23 Oct →
inferno	12–16	0.05	16%	21 Oct →
inferno	13–11	0.09	12%	21 Oct →
inferno	5–13	-0.04	13%	21 Oct →
ancient	13–9	0.04	8%	21 Oct →
dust2	11–13	0.01	18%	20 Oct →
dust2	3–13	0.04	24%	20 Oct →
inferno	13–10	0.11	19%	20 Oct →
anubis	13–4	0.07	17%	20 Oct →
dust2	8–13	0.11	14%	19 Oct →
dust2	10–13	-0.00	18%	19 Oct →
ancient	10–13	0.01	10%	19 Oct →
anubis	13–8	0.12	11%	18 Oct →
cache	13–4	0.01	18%	18 Oct →
cache	8–13	-0.05	7%	18 Oct →
anubis	5–13	0.01	7%	17 Oct →
inferno	11–13	0.01	17%	17 Oct →
ancient	5–13	-0.03	21%	17 Oct →
cache	6–13	0.01	8%	17 Oct →
inferno	9–13	-0.01	22%	17 Oct →
anubis	13–5	0.08	12%	15 Oct →
inferno	2–13	-0.07	9%	15 Oct →
anubis	13–9	-0.07	16%	15 Oct →
mirage	13–2	0.01	29%	14 Oct →
train	13–5	0.05	12%	12 Oct →
inferno	11–13	0.04	7%	12 Oct →
dust2	10–13	0.08	23%	12 Oct →
ancient	10–13	0.02	10%	11 Oct →
inferno	13–10	0.04	17%	11 Oct →
inferno	8–13	-0.04	12%	11 Oct →
ancient	12–16	0.05	24%	11 Oct →
anubis	13–8	0.05	24%	11 Oct →
inferno	9–6	0.03	19%	11 Oct →
anubis	13–11	-0.01	11%	11 Oct →
dust2	13–7	-0.01	9%	11 Oct →
nuke	13–7	0.03	12%	11 Oct →
anubis	4–13	-0.04	13%	11 Oct →
inferno	5–13	-0.05	20%	10 Oct →
inferno	13–11	0.08	13%	10 Oct →
inferno	12–16	0.09	21%	10 Oct →
inferno	9–13	0.05	10%	10 Oct →
mirage	11–13	0.01	16%	10 Oct →
mirage	0–13	-0.09	22%	10 Oct →
inferno	13–6	0.02	19%	9 Oct →
inferno	4–9	-0.03	23%	9 Oct →
overpass	9–1	0.30	38%	9 Oct →
anubis	1–13	-0.09	9%	8 Oct →
dust2	3–13	0.04	11%	8 Oct →
cache	6–13	0.07	14%	5 Oct →
inferno	13–2	0.11	10%	5 Oct →
ancient	3–13	-0.05	16%	4 Oct →
inferno	8–13	0.01	7%	4 Oct →
cache	13–9	0.06	15%	3 Oct →
dust2	13–11	0.00	13%	3 Oct →
nuke	13–3	0.06	20%	3 Oct →
cache	13–16	0.03	8%	1 Oct →
dust2	4–13	-0.01	15%	1 Oct →
mirage	4–13	-0.01	20%	27 Sept →
cache	9–13	0.09	10%	27 Sept →
anubis	13–9	0.18	14%	27 Sept →
dust2	13–9	0.10	9%	27 Sept →
mirage	13–10	0.10	16%	27 Sept →
cache	11–13	0.10	22%	27 Sept →
inferno	9–13	0.02	20%	25 Sept →
inferno	13–16	-0.08	11%	24 Sept →
inferno	6–13	0.08	27%	22 Sept →
inferno	8–13	0.10	15%	22 Sept →
anubis	8–13	-0.02	5%	21 Sept →