𝕤𝕝𝕒𝕔𝕜𝕖𝕣 — CS2 Stats

US76561197963277479[U:1:3011751]Steam profile ↗✓ No bans

1,564Tracked matches53%Win rate2020Tracked since

4,267Hours in CS

CSDB Rating6.5 SolidSupport

Premier CS Rating19,733Top 50% of 211,308 CSDB-tracked playersPurple band · top ~9.6% of ranked players (population est.)

CSDB Leaderboard#89268 of 258294 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

+500Premier CS Rating · 19,233 → 19,733

0Faceit ELO · 1,296 → 1,296

+3Tracked matches · now 1,564

−3.3ppWin rate · 56.7% → 53.3%

Rating over time

Premier CS Rating: 19,733 +286 22 May – 28 Oct · 22 days played

Faceit ELO: 1,296 +0 30 Aug – 25 Oct · 2 observations

20,865Peak Premier in tracked matches

1,296Highest Faceit ELO seen on CSDB

37Days played since 2026-05-15

Faceit ELO

At peak — 1,296
Next: Level 7 at 1,351 — 55 to go
Reached: Level 6 · Level 5 · Level 4 · Level 3
Level 6 first seen 2026-08-30
Level 5 first seen 2026-08-30

Premier CS Rating

1,132 below peak (20,865)
+432 over 30 days · improving
Next: Pink band at 20,000 — 267 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Purple band first seen 2026-10-25
Blue band first seen 2026-10-25

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	33.0%	44.4%	46.9%	13.9% short
Shot accuracy	13.5%	11.9%	13.0%	above
Kill/death ratio	1.20	1.03	1.08	above
Match win rate	53.5%	45.2%	46.7%	above

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

Widest gap: Headshot rate. 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

Positioning46

Utility73

0–100 skill scores via Leetify.

Recent form

HOT54–46Last 10054%Win rateWLWLLWWWWW

Last 10 vs previous 10: +50pp win rate · +0.04 avg rating · +1.5pp headshot accuracy · +13ms reaction

Win rate up 50pp 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 0.05
Avg headshot accuracy 17%
Avg reaction 563ms

Last 10

7–3 · 70% win rate
Avg rating 0.03
Avg headshot accuracy 15%
Avg reaction 551ms

Last 20

9–11 · 45% win rate
Avg rating 0.02
Avg headshot accuracy 14%
Avg reaction 545ms

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 (+3 against its own average).

Aim8.2

Utility7.3

Positioning4.6

Opening Duels1.1

Clutch4.2

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 b1t 70% playstyle similarity

Most alike: aim profile, utility contribution.

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

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.3° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

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

Positioning4.6

Utility7.3

Mechanics8.3

Opening Duels1.4

Win Impact6.1

Composite 6.5/10 (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 rating0.02+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time551ms−40ms

first ⅓ avg 591ms → last ⅓ avg 551ms

Headshot accuracy14.6%+1.0%

first ⅓ avg 13.6% → last ⅓ avg 14.6%

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 · 13–9 · nuke, 28 Oct →

26%Best headshot accuracy · 13–10 · inferno, 7 Sept →

438msFastest reaction time · 6–13 · inferno, 14 Aug →

13–2Biggest win · nuke, 12 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak

9–9In matches decided by ≤2 rounds

5Overtime games

Map breakdown

nukeBest map · 73% over 26anubisWeakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
nuke	S	26	19–7	73%	0.01
inferno	A	16	9–7	56%	0.01
anubis	D	15	5–10	33%	0.01
mirage	A	12	7–5	58%	0.03
ancient	D	12	4–8	33%	0.02
cache	C	8	3–5	38%	0.00
dust2	B	6	3–3	50%	-0.02
vertigo	—	4	3–1	75%	-0.01
office	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

172,969Lifetime kills

1.20K/D · Top 25% of Purple band

13,353Matches

53.5%Match win rate · Top 10% of Purple band

33.0%Headshot %

13.5%Shot accuracy · Top 50% of Purple band

14,458MVPs

4,267Hours (in match)

7,537Bombs planted

1,491Bombs defused

Most-used weapons

AK-4769,218

M4A4 / M4A1-S29,897

AWP18,605

Desert Eagle10,377

MP94,523

MAC-103,494

P2000 / USP-S3,313

Galil AR3,290

Tec-93,181

Glock-182,946

Lifetime map wins

10,990nuke

9,364vertigo

9,249inferno

2,941cbble

2,826dust2

2,362train

1,057office

594italy

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

Faceit stats

Combat

106Matches

54%Win rate

1.27Avg K/D

90.8ADR

38%Headshot %

Clutches & streaks

41%1v1 clutch win

30%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	26	62%	1.32	17.9
Ancient	25	56%	1.34	17.8
Anubis	24	54%	1.34	20.3
Inferno	12	50%	1.05	15.8
Vertigo	8	50%	1.07	16.1
Mirage	7	29%	1.10	16.3
Dust2	2	50%	1.42	20.5
Train	1	0%	0.88	14.0

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.

14.9%Headshot accuracy

40.2%Accuracy (enemy spotted)

40.3%Spray accuracy

87.3%Counter-strafing

10.3°Preaim

548msReaction time

31.2%T opening success

40.4%CT opening success

0.76Enemies flashed / flash

4.7%Flash assists

10.79HE damage / grenade

12.92Flashes / 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 14.8766% — 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 31.2368% — below the 40% mark we flag

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.

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