𝓴𝓮𝓷𝓸𝓼1𝓼 — CS2 Stats

TW76561199871848040[U:1:1911582312]Steam profile ↗✓ No bans

1,385Tracked matches86%Win rate2025Tracked since

1,220Hours in CS28Hrs last 2 wks

CSDB Rating7.9 StrongOpening Duellist

Premier CS Rating15,765Purple band · top ~25.4% of ranked players (population est.)

CSDB Leaderboard#140671 of 261698 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Nov 2026 (8 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: 15,765 -404 3 Sept – 7 Nov · 6 days played

16,169Peak Premier in tracked matches

14Days played since 2026-09-03

Premier CS Rating

404 below peak (16,169)
Next: Pink band at 20,000 — 4,235 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-09-03
Blue band first seen 2026-09-03

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 6 among CSDB-tracked players (n=13,777), 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 6 median	Level 7 median	vs Level 7
Headshot rate	48.4%	44.8%	45.7%	above
Shot accuracy	0.0%	12.4%	12.7%	12.7% short
Kill/death ratio	1.24	1.03	1.05	above
Match win rate	54.3%	45.2%	45.7%	above

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

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Performance scores

Aim88

Positioning79

Utility37

0–100 skill scores via Leetify.

Recent form

HOT67–30–3Last 10067%Win rateWWWWWTWWWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +1.0pp headshot accuracy · −4ms 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

5–0 · 100% win rate
Avg rating 0.08
Avg headshot accuracy 21%
Avg reaction 524ms

Last 10

9–0–1 · 90% win rate
Avg rating 0.08
Avg headshot accuracy 26%
Avg reaction 545ms

Last 20

16–3–1 · 80% win rate
Avg rating 0.07
Avg headshot accuracy 25%
Avg reaction 547ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+2.3 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim8.8

Utility3.7

Positioning7.9

Opening Duels8.4

Clutch4.4

Sharp aimerStrong CT-side openerLimited 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 s1mple 77% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution.

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 88 — the mechanical foundation is a clear strength.

CT openings. 71% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 67% T opening-duel success — entries that actually open the round.

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

Aim8.8

Positioning7.9

Utility3.7

Mechanics7.7

Opening Duels9.6

Win Impact10.0

Composite 7.9/10 (Strong), 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 rating0.07+0.04

first ⅓ avg 0.03 → last ⅓ avg 0.07

Reaction time552ms−4ms

first ⅓ avg 556ms → last ⅓ avg 552ms

Headshot accuracy26.0%+3.4%

first ⅓ avg 22.7% → last ⅓ avg 26.0%

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

0.22Best match rating · 13–10 · anubis, 23 Oct →

49%Best headshot accuracy · 13–7 · dust2, 14 Nov →

391msFastest reaction time · 13–7 · dust2, 25 Oct →

13–0Biggest win · cache, 31 Oct →

Across the last 100 tracked matches.

Highlights

10Longest win streak

W5Current streak

6–4In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 90% over 10mirageWeakest map · 59% over 37

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	37	22–15	59%	0.07
anubis	S	18	13–5	72%	0.05
dust2	S	13	9–4	69%	0.02
inferno	S	10	9–1	90%	0.02
cache	A	8	5–3	63%	0.04
ancient	S	8	6–2	75%	0.04
nuke	A	5	3–2	60%	0.05
train	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (59% over 37). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

38,493Lifetime kills

1.24K/D · Top 25% of Level 6 players

1,976Matches

54.3%Match win rate · Top 10% of Level 6 players

48.4%Headshot % · Top 50% of Level 6 players

0.0%Shot accuracy

7,275MVPs

726Hours (in match)

1,314Bombs planted

568Bombs defused

Most-used weapons

AK-4718,595

M4A4 / M4A1-S8,426

AWP4,759

P2000 / USP-S1,990

Desert Eagle1,444

Glock-18913

P250444

Galil AR395

MP9287

Knife214

Lifetime map wins

8,267dust2

1,644inferno

940nuke

161vertigo

31train

26office

1ar_shoots

1ar_baggage

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

Faceit stats

Combat

99Matches

55%Win rate

1.10Avg K/D

82.8ADR

49%Headshot %

Clutches & streaks

42%1v1 clutch win

27%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	31	48%	1.26	20.5
Ancient	24	67%	1.19	16.6
Mirage	23	43%	0.88	14.4
Anubis	15	60%	1.11	16.8
Inferno	4	100%	0.96	16.5
Nuke	2	0%	0.56	9.5

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.

25.7%Headshot accuracy

37.2%Accuracy (enemy spotted)

37.3%Spray accuracy

84.7%Counter-strafing

8.8°Preaim

547msReaction time

66.7%T opening success

71.3%CT opening success

0.55Enemies flashed / flash

15.2%Flash assists

3.14HE damage / grenade

1.85Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 1.8464 — below the 4 mark we flag
Grenade Lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–8	0.06	21%	15 Nov →
anubis	13–2	0.10	21%	15 Nov →
anubis	13–7	0.12	23%	15 Nov →
dust2	13–6	0.06	21%	14 Nov →
cache	13–7	0.08	18%	14 Nov →
mirage	12–12	0.14	23%	14 Nov →
anubis	13–5	0.01	33%	14 Nov →
anubis	13–10	0.10	23%	14 Nov →
dust2	13–7	0.05	49%	14 Nov →
mirage	13–7	0.05	27%	14 Nov →
mirage	13–10	0.07	39%	14 Nov →
inferno	8–10	-0.05	8%	14 Nov →
mirage	7–13	0.05	23%	14 Nov →
mirage	7–13	0.11	32%	14 Nov →
mirage	13–11	0.02	21%	13 Nov →
anubis	13–11	0.07	25%	13 Nov →
mirage	13–7	0.00	25%	13 Nov →
dust2	13–10	0.04	18%	8 Nov →
cache	7–13	0.08	30%	8 Nov →
mirage	13–6	0.21	25%	8 Nov →
inferno	11–4	0.08	40%	8 Nov →
mirage	8–13	0.09	23%	8 Nov →
dust2	13–3	0.12	23%	7 Nov →
ancient	13–11	0.04	16%	7 Nov →
inferno	13–11	0.08	30%	7 Nov →
ancient	13–7	0.12	31%	7 Nov →
mirage	13–3	0.10	26%	7 Nov →
ancient	13–2	0.10	32%	7 Nov →
ancient	13–7	-0.06	25%	7 Nov →
anubis	13–4	0.04	26%	7 Nov →
inferno	13–4	0.01	22%	7 Nov →
dust2	13–6	0.12	29%	7 Nov →
dust2	10–13	-0.01	33%	7 Nov →
mirage	13–5	0.15	23%	7 Nov →
mirage	3–7	0.15	22%	7 Nov →
cache	13–6	0.05	34%	6 Nov →
dust2	13–4	0.05	20%	6 Nov →
mirage	13–5	0.01	43%	6 Nov →
dust2	13–4	0.01	13%	6 Nov →
inferno	5–0	-0.01	44%	6 Nov →
mirage	13–6	0.11	25%	6 Nov →
anubis	13–8	-0.01	22%	6 Nov →
anubis	13–6	0.02	20%	1 Nov →
mirage	8–13	0.07	23%	1 Nov →
nuke	5–13	0.04	24%	31 Oct →
inferno	11–13	0.06	22%	31 Oct →
inferno	13–2	0.03	20%	31 Oct →
nuke	12–12	-0.04	40%	31 Oct →
mirage	11–13	0.01	35%	31 Oct →
mirage	5–13	0.07	22%	31 Oct →
ancient	13–1	-0.02	10%	31 Oct →
nuke	13–5	0.08	15%	31 Oct →
cache	13–0	0.04	27%	31 Oct →
mirage	13–5	0.12	17%	31 Oct →
mirage	13–8	0.07	21%	30 Oct →
cache	13–11	0.07	29%	30 Oct →
inferno	13–10	-0.00	24%	30 Oct →
mirage	13–3	0.12	33%	30 Oct →
mirage	13–4	0.04	21%	30 Oct →
mirage	5–13	0.03	18%	26 Oct →
mirage	8–13	0.10	18%	26 Oct →
mirage	13–4	0.06	25%	26 Oct →
mirage	13–3	0.06	17%	26 Oct →
dust2	10–13	-0.04	10%	25 Oct →
anubis	11–13	-0.07	22%	25 Oct →
nuke	13–6	0.11	20%	25 Oct →
dust2	10–13	-0.06	42%	25 Oct →
nuke	13–3	0.06	41%	25 Oct →
train	4–13	-0.01	10%	25 Oct →
mirage	13–10	0.05	28%	25 Oct →
anubis	5–13	0.04	30%	25 Oct →
mirage	10–13	-0.03	9%	25 Oct →
dust2	13–7	0.04	18%	25 Oct →
dust2	13–5	0.00	15%	25 Oct →
mirage	13–0	0.02	15%	25 Oct →
mirage	12–1	-0.00	13%	25 Oct →
anubis	6–13	0.03	24%	24 Oct →
mirage	6–13	0.00	29%	24 Oct →
anubis	13–4	0.02	29%	24 Oct →
ancient	3–13	0.10	35%	24 Oct →
cache	10–13	0.01	19%	24 Oct →
anubis	10–13	-0.05	18%	24 Oct →
inferno	13–10	-0.04	18%	24 Oct →
ancient	12–12	-0.00	22%	24 Oct →
mirage	13–9	0.09	30%	24 Oct →
mirage	10–13	0.08	27%	24 Oct →
cache	13–2	-0.02	26%	24 Oct →
mirage	13–3	0.04	15%	24 Oct →
ancient	13–10	0.05	21%	24 Oct →
mirage	8–13	0.10	20%	24 Oct →
anubis	11–13	0.01	10%	23 Oct →
mirage	9–13	-0.02	35%	23 Oct →
anubis	13–5	0.09	25%	23 Oct →
mirage	9–13	0.03	17%	23 Oct →
dust2	4–13	-0.07	17%	23 Oct →
anubis	13–10	0.22	24%	23 Oct →
mirage	13–0	0.06	41%	23 Oct →
anubis	13–1	0.08	24%	22 Oct →
cache	8–13	-0.02	19%	22 Oct →
anubis	13–7	0.05	26%	22 Oct →