𝓥𝓪𝓛𝓛𝓾 — CS2 Stats

76561199005946529[U:1:1045680801]Steam profile ↗✓ No bans

2,025Tracked matches48%Win rate2022Tracked since

1,438Hours in CS

CSDB Rating6.7 SolidPositional Player

Premier CS Rating18,282Purple band · top ~15.3% of ranked players (population est.)

CSDB Leaderboard#109196 of 259956 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (5 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: 18,282 +44 4 Sept – 31 Oct · 23 days played

Faceit ELO: 1,656 +0 4 Sept – 13 Sept · 2 observations

20,100Peak Premier in tracked matches

1,656Highest Faceit ELO seen on CSDB

23Days played since 2026-09-04

Faceit ELO

At peak — 1,656
Next: Level 9 at 1,751 — 95 to go
Reached: Level 8 · Level 7 · Level 6 · Level 5
Level 8 first seen 2026-09-04
Level 7 first seen 2026-09-04

Premier CS Rating

1,717 below peak (19,999)
-1,237 over 30 days · declining
Next: Pink band at 20,000 — 1,718 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-09-04
Blue band first seen 2026-09-04

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.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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	Purple band median	Pink band median	vs Pink band
Headshot rate	51.3%	44.4%	46.9%	above
Shot accuracy	10.7%	11.9%	13.0%	2.3% short
Kill/death ratio	1.30	1.03	1.08	above
Match win rate	56.1%	45.2%	46.7%	above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink 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

Aim82

Positioning65

Utility53

0–100 skill scores via Leetify.

Recent form

COLD46–48–6Last 10046%Win rateLLLLLWLWWT

Last 10 vs previous 10: −30pp win rate · −0.07 avg rating · −2.7pp headshot accuracy · −7ms 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

0–5 · 0% win rate
Avg rating -0.02
Avg headshot accuracy 22%
Avg reaction 585ms

Last 10

3–6–1 · 30% win rate
Avg rating -0.00
Avg headshot accuracy 21%
Avg reaction 552ms

Last 20

9–9–2 · 45% win rate
Avg rating 0.03
Avg headshot accuracy 22%
Avg reaction 555ms

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 (+0.9 against its own average).

Aim8.2

Utility5.3

Positioning6.5

Opening Duels6.4

Clutch4.0

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 s1mple 94% playstyle similarity

Most alike: utility contribution, aim profile.

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

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

T openings. 63% T opening-duel success — entries that actually open the round.

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

Aim8.2

Positioning6.5

Utility5.3

Mechanics6.0

Opening Duels7.9

Win Impact4.4

Composite 6.7/10 (Solid), 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 rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time546ms+17ms

first ⅓ avg 529ms → last ⅓ avg 546ms

Headshot accuracy22.0%−1.3%

first ⅓ avg 23.4% → last ⅓ avg 22.0%

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

0.19Best match rating · 13–3 · inferno, 17 Oct →

42%Best headshot accuracy · 7–13 · mirage, 12 Sept →

344msFastest reaction time · 8–13 · inferno, 16 Sept →

13–0Biggest win · anubis, 18 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak

L5Current streak

8–8In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 64% over 25dust2Weakest map · 13% over 15

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	26	13–13	50%	0.03
nuke	A	25	16–9	64%	0.03
dust2	D	15	2–13	13%	-0.01
anubis	A	10	6–4	60%	0.02
mirage	C	8	3–5	38%	0.00
cache	D	7	1–6	14%	0.02
vertigo	B	6	3–3	50%	-0.00
ancient	—	3	2–1	67%	-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (13% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

84,005Lifetime kills

1.30K/D · Top 10% of Purple band

3,171Matches

56.1%Match win rate · Top 5% of Purple band

51.3%Headshot % · Top 25% of Purple band

10.7%Shot accuracy

12,728MVPs

1,438Hours (in match)

2,245Bombs planted

1,061Bombs defused

Most-used weapons

AK-4728,513

M4A4 / M4A1-S13,427

AWP12,863

Glock-184,890

P2000 / USP-S4,504

Desert Eagle3,585

MAC-103,370

MP92,161

Galil AR2,054

FAMAS1,316

Lifetime map wins

11,854inferno

9,683nuke

2,348vertigo

1,634dust2

1,020train

32italy

30office

14ar_shoots

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

Faceit stats

Combat

125Matches

56%Win rate

1.34Avg K/D

92.5ADR

53%Headshot %

Clutches & streaks

40%1v1 clutch win

33%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	30	67%	1.16	18.0
Nuke	19	58%	1.37	21.2
Dust2	19	68%	1.38	16.9
Inferno	17	41%	1.48	20.8
Ancient	16	56%	1.29	19.4
Anubis	10	40%	1.27	18.0
Train	5	40%	2.42	15.4
Vertigo	5	40%	1.19	17.6

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

37.9%Accuracy (enemy spotted)

35.9%Spray accuracy

77.1%Counter-strafing

8.5°Preaim

539msReaction time

63.5%T opening success

59.6%CT opening success

0.55Enemies flashed / flash

7.4%Flash assists

7.32HE damage / grenade

12.41Flashes / 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.

13% win rate across 15 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
nuke	11–13	-0.03	16%	31 Oct →
dust2	11–13	-0.03	16%	31 Oct →
dust2	3–13	-0.08	38%	31 Oct →
dust2	4–13	-0.01	19%	31 Oct →
ancient	14–16	0.05	21%	31 Oct →
dust2	13–5	0.09	20%	29 Oct →
mirage	4–13	-0.05	9%	24 Oct →
anubis	13–6	0.00	17%	24 Oct →
mirage	13–7	0.03	27%	21 Oct →
nuke	15–15	0.02	25%	21 Oct →
inferno	8–13	0.01	16%	21 Oct →
dust2	5–13	0.01	15%	21 Oct →
mirage	12–12	0.06	21%	17 Oct →
nuke	13–5	0.07	28%	17 Oct →
inferno	13–3	0.19	17%	17 Oct →
cache	7–13	0.04	39%	17 Oct →
dust2	13–7	0.06	28%	17 Oct →
anubis	13–11	0.12	28%	17 Oct →
vertigo	13–6	0.01	16%	16 Oct →
nuke	13–4	0.10	25%	16 Oct →
inferno	13–4	0.05	17%	16 Oct →
nuke	13–10	0.08	21%	16 Oct →
inferno	3–13	-0.02	17%	16 Oct →
nuke	13–11	0.03	24%	16 Oct →
mirage	13–16	-0.01	13%	16 Oct →
inferno	13–6	-0.01	17%	14 Oct →
dust2	10–13	0.00	32%	14 Oct →
anubis	7–13	-0.03	12%	14 Oct →
cache	10–13	0.04	31%	13 Oct →
nuke	15–15	0.03	26%	13 Oct →
inferno	13–11	0.11	30%	13 Oct →
nuke	9–13	-0.00	23%	4 Oct →
cache	9–13	0.04	22%	4 Oct →
vertigo	11–13	0.02	24%	4 Oct →
mirage	2–13	-0.06	19%	4 Oct →
inferno	5–13	-0.06	14%	2 Oct →
nuke	3–13	-0.06	23%	2 Oct →
dust2	2–13	0.04	16%	2 Oct →
dust2	3–13	0.05	25%	2 Oct →
inferno	3–13	-0.02	18%	2 Oct →
inferno	13–2	0.15	20%	2 Oct →
inferno	7–13	0.15	31%	2 Oct →
dust2	8–13	-0.01	23%	2 Oct →
dust2	9–13	-0.01	12%	2 Oct →
nuke	13–9	0.02	17%	2 Oct →
inferno	12–12	0.01	22%	2 Oct →
inferno	13–8	0.01	41%	29 Sept →
nuke	13–9	0.01	15%	29 Sept →
nuke	13–4	0.09	17%	29 Sept →
inferno	13–11	-0.01	24%	28 Sept →
nuke	13–11	0.08	23%	28 Sept →
inferno	13–11	0.08	20%	28 Sept →
nuke	12–12	0.06	28%	28 Sept →
dust2	7–13	0.01	22%	26 Sept →
vertigo	13–6	0.08	25%	26 Sept →
dust2	10–13	-0.06	23%	26 Sept →
inferno	11–13	0.03	25%	26 Sept →
vertigo	7–13	-0.07	21%	25 Sept →
dust2	2–13	-0.11	12%	25 Sept →
anubis	4–13	-0.04	19%	25 Sept →
mirage	13–11	-0.03	21%	25 Sept →
inferno	10–13	-0.01	7%	25 Sept →
dust2	0–13	-0.10	14%	25 Sept →
nuke	13–7	0.04	21%	25 Sept →
inferno	7–13	-0.06	29%	25 Sept →
mirage	16–14	0.11	21%	25 Sept →
nuke	13–10	-0.05	9%	25 Sept →
anubis	13–9	0.07	15%	22 Sept →
inferno	13–10	-0.01	22%	22 Sept →
nuke	13–3	0.05	33%	22 Sept →
anubis	13–16	0.07	18%	22 Sept →
vertigo	13–9	0.01	19%	21 Sept →
nuke	6–13	-0.02	18%	21 Sept →
nuke	11–13	0.01	14%	19 Sept →
inferno	3–13	-0.06	38%	19 Sept →
inferno	13–9	0.04	27%	19 Sept →
inferno	11–13	0.01	26%	19 Sept →
anubis	13–5	-0.01	29%	19 Sept →
inferno	13–7	0.08	38%	19 Sept →
nuke	13–4	-0.00	27%	19 Sept →
cache	1–13	-0.03	36%	19 Sept →
anubis	13–0	0.03	24%	18 Sept →
nuke	16–13	0.05	18%	18 Sept →
nuke	13–5	0.08	34%	18 Sept →
cache	9–13	0.02	28%	17 Sept →
nuke	13–7	-0.03	14%	17 Sept →
inferno	8–13	0.03	17%	16 Sept →
inferno	13–9	0.02	29%	16 Sept →
inferno	9–13	-0.03	27%	16 Sept →
anubis	12–12	0.06	9%	16 Sept →
inferno	13–7	0.07	35%	15 Sept →
nuke	13–5	0.06	24%	15 Sept →
ancient	13–6	-0.04	19%	15 Sept →
nuke	14–16	0.15	29%	15 Sept →
vertigo	0–13	-0.07	8%	14 Sept →
cache	13–5	0.05	12%	12 Sept →
ancient	16–13	-0.03	17%	12 Sept →
cache	9–13	-0.03	18%	12 Sept →
anubis	13–7	-0.04	10%	12 Sept →
mirage	7–13	-0.03	42%	12 Sept →