🚀 LX$ 🚀 — CS2 Stats

AM76561198048082734[U:1:87817006]Steam profile ↗✓ No bans

2,511Tracked matches43%Win rate2020Tracked since

4,870Hours in CS

CSDB Rating4.8 DevelopingSupport

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,511 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 43 days played since 30 Jan 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 14,999 +300 3 Apr – 5 Jul · 24 days played

17,461Peak Premier in tracked matches

43Days played since 2026-01-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 7 days vs previous 7

No matches recorded between 13 Sep 2026 and 21 Sep 2026.

Measured 13 Sep 2026 → 21 Sep 2026; no observation near 14 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=9,169), 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 3 median	Level 4 median	vs Level 4
Headshot rate	43.8%	41.9%	42.7%	above
Shot accuracy	17.4%	12.2%	11.3%	above
Kill/death ratio	0.79	0.98	0.99	0.20 short
Match win rate	38.7%	43.3%	43.9%	5.2% short

This profile matches the typical Level 4 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim60

Positioning42

Utility55

0–100 skill scores via Leetify.

Recent form

COLD46–51–3Last 10046%Win rateLLLWLWLLWL

Last 10 vs previous 10: −30pp win rate · −0.06 avg rating · +1.8pp headshot accuracy · −33ms 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

1–4 · 20% win rate
Avg rating -0.03
Avg headshot accuracy 19%
Avg reaction 641ms

Last 10

3–7 · 30% win rate
Avg rating -0.03
Avg headshot accuracy 16%
Avg reaction 584ms

Last 20

9–11 · 45% win rate
Avg rating -0.00
Avg headshot accuracy 15%
Avg reaction 601ms

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 (+1.8 against its own average).

Aim6.0

Utility5.5

Positioning4.2

Opening Duels1.4

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 Twistzz 83% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; lower aim 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

Areas to improve

Reaction time. 616ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim6.0

Positioning4.2

Utility5.5

Mechanics6.0

Opening Duels1.3

Win Impact2.8

Composite 4.8/10 (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-0.00−0.03

first ⅓ avg 0.02 → last ⅓ avg -0.00

Reaction time615ms−49ms

first ⅓ avg 664ms → last ⅓ avg 615ms

Headshot accuracy13.8%+2.4%

first ⅓ avg 11.4% → last ⅓ avg 13.8%

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

0.17Best match rating · 13–3 · ancient, 3 Apr →

29%Best headshot accuracy · 13–5 · nuke, 9 Jul →

453msFastest reaction time · 13–8 · office, 3 May →

13–2Biggest win · anubis, 3 Apr →

Across the last 100 tracked matches.

Highlights

7Longest win streak

L3Current streak

7–5In matches decided by ≤2 rounds

6Overtime games

Map breakdown

overpassBest map · 58% over 12cacheWeakest map · 36% over 22

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	22	8–14	36%	-0.01
nuke	B	20	9–11	45%	0.03
anubis	B	17	9–8	53%	0.01
overpass	A	12	7–5	58%	0.01
ancient	C	10	4–6	40%	0.05
dust2	B	6	3–3	50%	-0.04
inferno	B	6	3–3	50%	-0.00
mirage	—	4	1–3	25%	0.02
office	—	2	1–1	50%	0.01
train	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Lifetime stats

138,599Lifetime kills

0.79K/D

6,341Matches

38.7%Match win rate

43.8%Headshot % · Top 50% of Level 3 players

17.4%Shot accuracy · Top 25% of Level 3 players

12,577MVPs

4,870Hours (in match)

4,737Bombs planted

1,085Bombs defused

Most-used weapons

AK-4752,076

M4A4 / M4A1-S20,738

AWP13,289

Desert Eagle8,783

P2000 / USP-S8,040

Glock-184,845

Galil AR3,222

MP92,760

FAMAS2,662

MAC-102,446

Lifetime map wins

7,463dust2

4,601inferno

2,858assault

2,514nuke

1,507train

697vertigo

462cbble

444lake

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

Faceit stats

Combat

316Matches

49%Win rate

0.93Avg K/D

—ADR

34%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

8Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	2	0%	0.92	16.0
Ancient	1	100%	1.15	15.0

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.

14.4%Headshot accuracy

35.5%Accuracy (enemy spotted)

36.8%Spray accuracy

77.0%Counter-strafing

10.3°Preaim

616msReaction time

28.5%T opening success

40.1%CT opening success

0.53Enemies flashed / flash

3.2%Flash assists

11.61HE damage / grenade

8.53Flashes / 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 14.4148% — 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 28.5225% — below the 40% mark we flag

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

36% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
anubis	7–13	-0.03	15%	4 Sept →
cache	7–13	-0.07	22%	4 Sept →
office	6–13	-0.06	15%	3 Sept →
mirage	13–8	0.06	19%	30 Aug →
anubis	8–13	-0.03	22%	30 Aug →
cache	13–7	0.01	14%	30 Aug →
dust2	3–13	-0.07	8%	20 Aug →
nuke	8–13	-0.07	21%	20 Aug →
inferno	13–11	-0.05	13%	11 Aug →
nuke	5–13	0.00	10%	11 Aug →
inferno	11–13	0.05	13%	10 Aug →
anubis	13–6	0.05	14%	10 Aug →
ancient	3–8	-0.04	7%	10 Aug →
cache	13–9	-0.03	8%	31 Jul →
nuke	13–5	0.10	29%	9 Jul →
cache	9–13	-0.00	17%	9 Jul →
anubis	13–9	0.03	12%	5 Jul →
nuke	16–14	0.04	13%	1 Jul →
nuke	9–13	0.06	9%	29 Jun →
overpass	13–10	0.02	18%	23 Jun →
mirage	5–13	-0.08	10%	23 Jun →
train	13–8	-0.01	13%	23 Jun →
dust2	16–13	0.01	15%	1 Jun →
cache	9–13	0.05	13%	1 Jun →
cache	8–2	-0.05	0%	31 May →
dust2	8–13	-0.05	18%	31 May →
nuke	13–10	0.02	16%	25 May →
cache	5–13	-0.02	8%	15 May →
cache	2–8	-0.05	19%	15 May →
anubis	8–13	0.07	13%	15 May →
cache	12–12	0.03	8%	14 May →
overpass	7–13	0.03	13%	14 May →
cache	13–8	-0.02	13%	13 May →
cache	8–13	-0.04	16%	13 May →
overpass	13–4	0.06	8%	12 May →
cache	12–12	0.06	15%	12 May →
nuke	11–13	0.07	12%	9 May →
cache	2–13	-0.05	9%	9 May →
overpass	13–7	0.10	10%	9 May →
cache	9–13	-0.03	10%	8 May →
mirage	10–13	0.06	17%	7 May →
cache	13–9	0.02	10%	7 May →
nuke	8–13	0.00	12%	5 May →
nuke	9–13	-0.02	8%	5 May →
cache	13–8	0.00	9%	5 May →
overpass	7–13	-0.03	22%	4 May →
cache	5–13	-0.03	10%	4 May →
office	13–8	0.07	22%	3 May →
cache	13–10	-0.01	7%	3 May →
cache	10–13	0.02	4%	3 May →
cache	9–13	0.09	14%	29 Apr →
cache	7–13	-0.05	19%	29 Apr →
cache	13–10	0.00	12%	29 Apr →
overpass	13–4	-0.03	5%	26 Apr →
anubis	11–13	0.08	9%	26 Apr →
nuke	2–13	-0.03	15%	26 Apr →
ancient	13–10	0.06	7%	26 Apr →
inferno	3–13	-0.00	9%	22 Apr →
ancient	13–7	0.14	16%	22 Apr →
anubis	13–11	0.05	12%	22 Apr →
anubis	13–5	0.00	6%	22 Apr →
inferno	13–5	-0.01	9%	22 Apr →
nuke	13–10	-0.03	7%	21 Apr →
anubis	6–13	-0.00	8%	21 Apr →
anubis	7–13	-0.04	2%	21 Apr →
ancient	8–13	-0.04	14%	20 Apr →
anubis	13–7	0.01	6%	20 Apr →
dust2	5–11	-0.05	0%	20 Apr →
ancient	13–3	0.07	10%	20 Apr →
nuke	16–14	0.14	8%	19 Apr →
anubis	6–13	0.02	19%	16 Apr →
nuke	7–13	-0.04	10%	16 Apr →
ancient	11–13	0.02	7%	14 Apr →
overpass	10–13	-0.03	10%	14 Apr →
overpass	13–10	0.09	17%	13 Apr →
ancient	7–13	0.06	7%	13 Apr →
mirage	8–13	0.04	12%	13 Apr →
overpass	13–11	0.05	15%	5 Apr →
inferno	13–9	0.02	16%	5 Apr →
nuke	13–9	0.06	16%	5 Apr →
nuke	13–11	0.04	10%	3 Apr →
anubis	13–2	0.07	9%	3 Apr →
ancient	13–3	0.17	18%	3 Apr →
nuke	13–4	0.01	12%	31 Mar →
overpass	5–13	-0.09	10%	30 Mar →
nuke	15–15	-0.03	10%	30 Mar →
overpass	4–13	-0.01	7%	30 Mar →
ancient	9–13	0.07	10%	30 Mar →
nuke	13–7	0.14	9%	30 Mar →
dust2	13–10	0.03	10%	10 Mar →
anubis	3–13	-0.07	5%	10 Mar →
nuke	7–13	0.10	14%	13 Feb →
anubis	16–14	-0.07	9%	6 Feb →
ancient	9–13	0.03	12%	6 Feb →
anubis	13–8	-0.00	10%	4 Feb →
anubis	13–8	-0.02	6%	4 Feb →
overpass	13–10	0.00	21%	30 Jan →
dust2	4–13	-0.09	16%	30 Jan →
nuke	8–13	0.04	15%	30 Jan →
inferno	14–16	-0.01	18%	30 Jan →