Headwire — CS2 Stats

76561198049676543[U:1:89410815]Steam profile ↗✓ No bans

1,218Tracked matches41%Win rate2020Tracked since

1,569Hours in CS

CSDB Rating5.2 DevelopingSupport

Premier CS Rating19,663Top 50% of 215,386 CSDB-tracked playersPurple band · top ~9.8% of ranked players (population est.)

CSDB Leaderboard#91686 of 261543 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Oct 2026 (42 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: 19,663 +1,257 25 Apr – 3 Oct · 23 days played

23,228Peak Premier in tracked matches

35Days played since 2026-01-30

Premier CS Rating

3,565 below peak (23,228)
-1,396 over 30 days · declining
-1,192 over 90 days
Next: Pink band at 20,000 — 337 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-09-26
Purple band first seen 2026-09-26

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 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	44.7%	45.7%	46.8%	2.1% short
Shot accuracy	13.4%	12.7%	13.0%	above
Kill/death ratio	0.85	1.05	1.06	0.21 short
Match win rate	35.3%	45.7%	46.3%	11.0% short

This profile matches the typical Level 8 player on 1 of 4 comparable metrics.

Widest gap: Match win 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

Aim69

Positioning48

Utility53

0–100 skill scores via Leetify.

Recent form

COLD44–51–5Last 10044%Win rateWLLLLWLLLW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −2.5pp headshot accuracy · +16ms 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

1–4 · 20% win rate
Avg rating -0.02
Avg headshot accuracy 12%
Avg reaction 502ms

Last 10

3–7 · 30% win rate
Avg rating -0.03
Avg headshot accuracy 13%
Avg reaction 550ms

Last 20

7–12–1 · 35% win rate
Avg rating -0.02
Avg headshot accuracy 14%
Avg reaction 542ms

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 (+1.4 against its own average).

Aim6.9

Utility5.3

Positioning4.8

Opening Duels3.3

Clutch2.2

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 ZywOo 93% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim 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 →

CSDB Rating breakdown

Aim6.9

Positioning4.8

Utility5.3

Mechanics6.0

Opening Duels2.6

Win Impact2.1

Composite 5.2/10 (Developing), 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 rating-0.02−0.00

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time566ms−37ms

first ⅓ avg 603ms → last ⅓ avg 566ms

Headshot accuracy14.5%−1.2%

first ⅓ avg 15.8% → last ⅓ avg 14.5%

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

0.15Best match rating · 13–5 · inferno, 30 May →

35%Best headshot accuracy · 13–6 · inferno, 15 May →

383msFastest reaction time · 7–13 · inferno, 5 Sept →

13–0Biggest win · inferno, 30 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak

9–6In matches decided by ≤2 rounds

12Overtime games

Map breakdown

anubisBest map · 56% over 9dust2Weakest map · 35% over 26

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	30	15–15	50%	-0.01
dust2	C	26	9–17	35%	-0.03
ancient	B	20	9–11	45%	-0.01
cache	C	15	6–9	40%	-0.01
anubis	A	9	5–4	56%	-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (35% over 26). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

76,122Lifetime kills

0.85K/D

8,999Matches

35.3%Match win rate

44.7%Headshot %

13.4%Shot accuracy · Top 50% of Level 7 players

6,610MVPs

1,569Hours (in match)

6,051Bombs planted

710Bombs defused

Most-used weapons

AK-4717,887

M4A4 / M4A1-S16,103

P2000 / USP-S3,808

G3SG13,243

Desert Eagle2,758

AWP2,739

Glock-182,497

P902,451

Negev2,371

MP92,158

Lifetime map wins

18,444inferno

4,134dust2

869nuke

387vertigo

245train

202office

179cbble

172assault

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

Faceit stats

Combat

121Matches

52%Win rate

1.00Avg K/D

75.4ADR

36%Headshot %

Clutches & streaks

31%1v1 clutch win

17%1v2 clutch win

11Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	35	63%	1.16	14.4
Dust2	24	42%	0.90	13.2
Anubis	20	45%	0.93	12.6
Ancient	11	36%	0.81	12.4
Nuke	3	33%	0.78	12.7
Overpass	3	100%	0.87	13.7

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.

13.8%Headshot accuracy

34.3%Accuracy (enemy spotted)

38.2%Spray accuracy

77.1%Counter-strafing

8.8°Preaim

550msReaction time

36.2%T opening success

44.5%CT opening success

0.48Enemies flashed / flash

7.5%Flash assists

8.16HE damage / grenade

8.92Flashes / 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 13.7668% — below the 15% mark we flag
Aim Training →
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 0.483 — below the 0.5 mark we flag
Grenade Lineups →
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 36.1587% — below the 40% mark we flag

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.

35% win rate across 26 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	13–11	-0.00	12%	3 Oct →
cache	8–13	-0.05	16%	5 Sept →
inferno	7–13	-0.06	2%	5 Sept →
ancient	10–13	0.01	8%	5 Sept →
dust2	10–13	-0.01	24%	4 Sept →
ancient	13–11	-0.01	12%	4 Sept →
dust2	7–13	-0.02	12%	4 Sept →
ancient	6–13	-0.11	12%	26 Aug →
cache	5–13	-0.04	4%	25 Aug →
inferno	13–5	0.01	26%	25 Aug →
dust2	9–13	-0.06	13%	25 Aug →
dust2	15–15	0.04	19%	25 Aug →
inferno	13–10	-0.03	17%	25 Aug →
dust2	10–13	-0.01	26%	24 Aug →
inferno	9–13	0.02	14%	24 Aug →
ancient	13–5	0.04	10%	24 Aug →
dust2	2–13	-0.08	15%	24 Aug →
inferno	4–13	-0.04	20%	24 Aug →
cache	16–13	-0.01	9%	23 Aug →
inferno	13–11	-0.04	9%	23 Aug →
ancient	13–8	0.01	5%	23 Aug →
inferno	3–13	-0.05	12%	23 Aug →
dust2	4–13	-0.03	10%	17 Aug →
ancient	13–9	-0.01	0%	17 Aug →
dust2	13–3	0.02	22%	17 Aug →
cache	13–7	0.02	15%	17 Aug →
dust2	4–13	0.06	16%	16 Aug →
inferno	13–9	0.02	13%	16 Aug →
cache	9–13	0.01	18%	16 Aug →
cache	11–13	0.01	21%	7 Aug →
dust2	6–13	-0.10	21%	7 Aug →
cache	13–5	-0.03	23%	7 Aug →
dust2	13–11	-0.02	22%	7 Aug →
inferno	3–13	-0.06	19%	7 Aug →
inferno	16–13	0.03	21%	7 Aug →
cache	10–13	-0.02	7%	5 Aug →
inferno	16–14	0.01	18%	5 Aug →
dust2	16–14	-0.00	12%	4 Aug →
cache	13–10	0.01	17%	4 Aug →
ancient	15–15	-0.01	19%	15 Jul →
cache	13–2	0.01	14%	15 Jul →
dust2	10–13	-0.04	17%	15 Jul →
dust2	9–13	-0.03	5%	11 Jul →
dust2	13–1	-0.01	13%	11 Jul →
dust2	13–9	0.02	24%	11 Jul →
dust2	6–13	-0.10	9%	11 Jul →
ancient	7–13	-0.03	16%	11 Jul →
inferno	13–6	0.05	10%	11 Jul →
inferno	10–13	-0.02	24%	11 Jul →
dust2	13–6	-0.02	16%	5 Jul →
anubis	3–13	-0.03	20%	5 Jul →
ancient	12–16	-0.03	14%	1 Jul →
ancient	13–8	0.00	7%	1 Jul →
ancient	11–13	-0.04	14%	28 Jun →
inferno	11–13	0.01	20%	27 Jun →
anubis	8–13	-0.02	10%	25 Jun →
anubis	13–1	0.01	17%	25 Jun →
inferno	6–13	0.02	21%	23 Jun →
inferno	4–13	-0.06	10%	23 Jun →
inferno	11–13	0.03	22%	23 Jun →
dust2	4–13	-0.07	13%	22 Jun →
ancient	15–15	-0.00	9%	22 Jun →
ancient	11–13	0.01	20%	3 Jun →
dust2	6–13	-0.07	27%	3 Jun →
anubis	3–13	-0.15	5%	3 Jun →
dust2	8–13	-0.05	13%	3 Jun →
ancient	13–10	-0.03	7%	1 Jun →
inferno	13–4	-0.02	3%	1 Jun →
inferno	13–5	0.01	21%	31 May →
ancient	16–13	-0.01	19%	31 May →
inferno	13–5	0.15	17%	30 May →
inferno	2–13	-0.04	17%	30 May →
inferno	13–0	-0.06	15%	30 May →
dust2	13–8	-0.01	14%	30 May →
inferno	10–13	0.01	21%	30 May →
ancient	10–13	0.04	10%	25 May →
inferno	6–13	-0.09	8%	25 May →
cache	1–13	-0.05	12%	25 May →
cache	12–12	-0.01	10%	25 May →
ancient	13–6	0.00	16%	17 May →
anubis	16–13	-0.05	17%	17 May →
ancient	15–15	-0.05	10%	17 May →
inferno	13–6	0.01	35%	15 May →
anubis	13–8	0.04	13%	15 May →
inferno	13–7	0.10	20%	15 May →
inferno	13–11	-0.05	15%	15 May →
ancient	9–13	-0.01	8%	10 May →
cache	10–13	-0.00	27%	10 May →
cache	4–13	-0.05	13%	10 May →
inferno	5–13	-0.08	20%	25 Apr →
anubis	13–11	-0.04	18%	25 Apr →
ancient	13–8	-0.01	12%	25 Apr →
inferno	13–9	0.01	24%	25 Apr →
dust2	14–16	-0.03	19%	16 Apr →
anubis	13–11	0.00	11%	14 Feb →
dust2	13–8	-0.00	5%	2 Feb →
dust2	13–9	0.01	13%	2 Feb →
dust2	10–13	-0.04	13%	1 Feb →
anubis	9–13	-0.08	24%	1 Feb →
inferno	2–13	-0.13	21%	30 Jan →