★𝓦𝓸𝓶𝓶𝓲★ — CS2 Stats

76561198147465005[U:1:187199277]Steam profile ↗✓ No bans

2,079Tracked matches47%Win rate2020Tracked since

3,366Hours in CS

CSDB Rating7.4 StrongPositional Player

Premier CS Rating25,650Top 10% of 215,386 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)

CSDB Leaderboard#16464 of 261506 tracked

FaceitLevel 7 · 1,313 ELOTop 42.3% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Nov 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: 25,650 +4,490 2 Sept – 9 Nov · 22 days played

Faceit ELO: 1,313 +0 2 Sept – 3 Nov · 2 observations

26,159Peak Premier in tracked matches

1,313Highest Faceit ELO seen on CSDB

34Days played since 2026-09-02

Faceit ELO

At peak — 1,313
Next: Level 7 at 1,351 — 38 to go
Reached: Level 6 · Level 5 · Level 4 · Level 3
Level 6 first seen 2026-09-02
Level 5 first seen 2026-09-02

Premier CS Rating

485 below peak (26,135)
+1,014 over 30 days · improving
Next: Gold band at 30,000 — 4,350 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-11-03
Pink band first seen 2026-09-02

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 Level 7 among CSDB-tracked players (n=14,595), 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 7 median	Level 8 median	vs Level 8
Headshot rate	41.0%	45.7%	46.8%	5.8% short
Shot accuracy	14.0%	12.7%	13.0%	above
Kill/death ratio	1.19	1.05	1.06	above
Match win rate	46.4%	45.7%	46.3%	meets

This profile matches the typical Level 8 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim93

Positioning65

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY51–44–5Last 10051%Win rateLWLWLWWWLL

Last 10 vs previous 10: −20pp win rate · −0.06 avg rating · −3.3pp headshot accuracy · +4ms reaction

Win rate down 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 0.00
Avg headshot accuracy 15%
Avg reaction 494ms

Last 10

5–5 · 50% win rate
Avg rating -0.02
Avg headshot accuracy 14%
Avg reaction 461ms

Last 20

12–8 · 60% win rate
Avg rating 0.01
Avg headshot accuracy 16%
Avg reaction 459ms

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 (+2 against its own average).

Aim9.3

Utility4.7

Positioning6.5

Opening Duels4.0

Clutch2.8

Sharp aimerLimited utility dependence

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 sh1ro 86% playstyle similarity

Most alike: aim profile, positioning 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.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Positioning6.5

Utility4.7

Mechanics8.0

Opening Duels6.6

Win Impact3.9

Composite 7.4/10 (Strong), 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 rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time455ms−3ms

first ⅓ avg 459ms → last ⅓ avg 455ms

Headshot accuracy16.2%−0.9%

first ⅓ avg 17.1% → last ⅓ avg 16.2%

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 · 9–4 · inferno, 27 Sept →

36%Best headshot accuracy · 13–11 · train, 7 Oct →

320msFastest reaction time · 7–2 · train, 8 Nov →

13–1Biggest win · cache, 19 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak

9–6In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 63% over 8anubisWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	18	10–8	56%	0.02
cache	B	17	9–8	53%	0.01
office	B	17	9–8	53%	0.03
inferno	C	13	5–8	38%	0.02
nuke	A	9	5–4	56%	0.01
ancient	A	8	5–3	63%	0.02
train	B	6	3–3	50%	-0.00
dust2	A	5	3–2	60%	0.03
anubis	D	5	1–4	20%	-0.03
vertigo	—	2	1–1	50%	0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

181,592Lifetime kills

1.19K/D · Top 25% of Level 7 players

9,232Matches

46.4%Match win rate · Top 50% of Level 7 players

41.0%Headshot %

14.0%Shot accuracy · Top 50% of Level 7 players

31,246MVPs

3,366Hours (in match)

4,143Bombs planted

2,076Bombs defused

Most-used weapons

AK-4744,374

AWP31,128

M4A4 / M4A1-S27,400

Desert Eagle19,199

P2000 / USP-S10,446

Glock-187,593

SSG 086,659

Knife4,268

P2502,212

Tec-91,943

Lifetime map wins

10,335dust2

8,430inferno

7,437nuke

3,141vertigo

2,280train

1,553cbble

1,253office

509militia

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

Faceit stats

Combat

274Matches

53%Win rate

1.27Avg K/D

95.9ADR

41%Headshot %

Clutches & streaks

34%1v1 clutch win

24%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	33	52%	1.28	19.4
Nuke	31	65%	1.35	17.7
Ancient	22	36%	1.12	17.3
Mirage	22	45%	1.17	18.4
Cache	14	64%	1.20	19.3
Vertigo	4	75%	1.40	20.8
Overpass	4	50%	1.27	20.8
Anubis	1	100%	2.17	26.0

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.

16.3%Headshot accuracy

39.3%Accuracy (enemy spotted)

43.4%Spray accuracy

85.8%Counter-strafing

7.0°Preaim

460msReaction time

59.5%T opening success

53.3%CT opening success

0.50Enemies flashed / flash

5.5%Flash assists

14.00HE damage / grenade

3.99Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4991 — below the 0.5 mark we flag
Grenade Lineups →

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.

20% win rate across 5 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
cache	3–13	-0.08	4%	9 Nov →
dust2	13–10	0.10	30%	9 Nov →
ancient	6–13	-0.04	17%	9 Nov →
ancient	13–7	0.02	10%	8 Nov →
cache	10–13	0.02	15%	8 Nov →
mirage	13–7	-0.02	21%	8 Nov →
nuke	13–4	-0.03	8%	8 Nov →
train	7–2	-0.04	10%	8 Nov →
anubis	5–13	-0.05	9%	8 Nov →
anubis	6–13	-0.07	18%	8 Nov →
train	3–13	-0.00	28%	29 Oct →
office	13–10	0.01	11%	29 Oct →
mirage	13–7	0.08	13%	29 Oct →
mirage	13–16	0.00	13%	28 Oct →
mirage	13–6	0.17	15%	27 Oct →
ancient	13–6	0.06	29%	27 Oct →
cache	13–9	0.06	24%	27 Oct →
nuke	16–13	-0.00	13%	26 Oct →
cache	13–9	0.03	21%	26 Oct →
train	8–13	0.01	8%	24 Oct →
office	8–13	-0.04	19%	24 Oct →
inferno	11–13	0.04	10%	22 Oct →
mirage	7–13	-0.01	8%	22 Oct →
nuke	11–13	-0.05	14%	21 Oct →
anubis	8–13	-0.05	13%	21 Oct →
mirage	13–8	0.07	12%	21 Oct →
ancient	9–13	-0.01	32%	20 Oct →
mirage	2–13	-0.02	33%	20 Oct →
inferno	8–13	-0.04	15%	19 Oct →
inferno	13–6	0.07	18%	19 Oct →
cache	13–1	0.08	16%	19 Oct →
anubis	10–13	0.02	9%	18 Oct →
inferno	13–11	0.01	21%	18 Oct →
office	12–12	-0.05	17%	17 Oct →
dust2	13–4	0.03	19%	17 Oct →
nuke	13–3	-0.00	16%	17 Oct →
mirage	13–5	-0.00	16%	17 Oct →
office	6–13	0.03	11%	14 Oct →
office	9–13	0.08	3%	14 Oct →
office	13–11	0.06	11%	14 Oct →
mirage	15–15	0.05	12%	13 Oct →
cache	4–13	-0.04	29%	13 Oct →
nuke	16–13	0.04	22%	13 Oct →
ancient	7–13	-0.04	17%	13 Oct →
nuke	9–13	0.01	15%	13 Oct →
dust2	13–11	0.01	15%	12 Oct →
dust2	7–13	0.07	21%	11 Oct →
cache	13–8	0.12	31%	11 Oct →
office	13–10	0.06	34%	10 Oct →
cache	13–6	0.01	13%	10 Oct →
nuke	16–13	-0.01	26%	9 Oct →
mirage	13–10	0.01	33%	9 Oct →
inferno	15–15	-0.02	15%	9 Oct →
mirage	10–13	-0.03	9%	8 Oct →
train	9–13	0.01	31%	8 Oct →
nuke	12–16	0.06	20%	8 Oct →
train	13–11	-0.03	36%	7 Oct →
inferno	13–9	0.02	17%	7 Oct →
mirage	13–10	0.02	20%	7 Oct →
ancient	13–8	0.05	19%	7 Oct →
inferno	8–13	0.00	26%	6 Oct →
mirage	9–13	-0.04	12%	6 Oct →
inferno	10–13	-0.05	15%	5 Oct →
anubis	13–11	-0.02	18%	5 Oct →
office	11–13	-0.02	17%	5 Oct →
dust2	4–13	-0.05	18%	5 Oct →
mirage	13–4	0.05	28%	5 Oct →
office	2–13	-0.04	8%	4 Oct →
office	13–7	0.13	30%	4 Oct →
cache	12–12	0.03	22%	3 Oct →
cache	11–13	0.05	29%	3 Oct →
train	13–5	0.03	30%	3 Oct →
office	9–13	-0.01	21%	3 Oct →
office	13–1	0.11	22%	3 Oct →
office	13–11	0.10	27%	3 Oct →
office	13–3	0.08	24%	3 Oct →
ancient	13–10	0.05	20%	2 Oct →
cache	3–13	-0.11	7%	2 Oct →
mirage	13–7	-0.00	9%	2 Oct →
mirage	6–13	-0.03	7%	28 Sept →
inferno	8–13	-0.02	26%	28 Sept →
cache	9–13	-0.02	11%	27 Sept →
inferno	13–9	0.03	24%	27 Sept →
cache	13–4	-0.00	12%	27 Sept →
inferno	9–4	0.19	9%	27 Sept →
inferno	8–13	0.03	23%	26 Sept →
cache	5–3	0.03	6%	26 Sept →
cache	16–14	0.06	12%	25 Sept →
mirage	13–2	0.06	15%	25 Sept →
ancient	13–8	0.04	18%	25 Sept →
office	8–13	0.04	21%	23 Sept →
office	13–6	-0.06	11%	23 Sept →
vertigo	13–11	-0.01	11%	23 Sept →
vertigo	12–12	0.07	20%	23 Sept →
inferno	11–13	-0.03	0%	21 Sept →
mirage	14–16	0.08	7%	20 Sept →
nuke	8–13	0.12	19%	20 Sept →
cache	7–13	-0.01	15%	19 Sept →
cache	13–6	0.03	24%	19 Sept →
office	13–9	-0.02	26%	19 Sept →