🚀 LX$ 🚀 — CS2 Stats

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

2,508Tracked matches48%Win rate2020Tracked since

4,731Hours in CS4Hrs last 2 wks

CSDB Rating5.1 Developing

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=1,851), 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	43.7%	41.8%	42.7%	above
Shot accuracy	17.4%	11.9%	10.8%	above
Kill/death ratio	0.79	0.97	1.00	0.20 short
Match win rate	38.8%	43.5%	44.1%	5.3% 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

Aim59

Positioning46

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY47–50–3Last 10047%Win rateWLWLLWLLWL

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

Aim5.9

Aggression7.0

Utility5.6

Positioning4.6

Opening Duels2.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like b1t 87% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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. 615ms 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

Aim5.9

Positioning4.6

Utility5.6

Mechanics6.0

Opening Duels2.0

Win Impact4.4

Composite 5.1/10 (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 rating0.00−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time617ms−43ms

first ⅓ avg 659ms → last ⅓ avg 617ms

Headshot accuracy13.5%+0.6%

first ⅓ avg 12.9% → last ⅓ avg 13.5%

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.

Highlights

0.17Best rating — ancient 13–3

13–2Biggest win — anubis

7Longest win streak

7–5In matches decided by ≤2 rounds

6Overtime games

Map breakdown

overpassBest map · 58% over 12cacheWeakest map · 38% over 21

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	21	8–13	38%	-0.01
nuke	B	20	9–11	45%	0.03
anubis	A	16	9–7	56%	0.01
overpass	A	12	7–5	58%	0.01
ancient	C	10	4–6	40%	0.05
inferno	C	7	3–4	43%	0.00
dust2	B	6	3–3	50%	-0.04
mirage	—	4	1–3	25%	0.02
train	—	1	1–0	100%	-0.01
office	—	1	1–0	100%	0.07
warden	—	1	1–0	100%	-0.04
alpine	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Lifetime stats

138,535Lifetime kills

0.79K/D

6,334Matches

38.8%Match win rate

43.7%Headshot % · Top 50% of Level 3 players

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

12,575MVPs

4,868Hours (in match)

4,734Bombs planted

1,085Bombs defused

Most-used weapons

AK-4752,030

M4A4 / M4A1-S20,733

AWP13,287

Desert Eagle8,783

P2000 / USP-S8,035

Glock-184,844

Galil AR3,221

MP92,757

FAMAS2,662

MAC-102,445

Lifetime map wins

7,461dust2

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.

13.8%Headshot accuracy

36.1%Accuracy (enemy spotted)

37.9%Spray accuracy

77.2%Counter-strafing

11.0°Preaim

615msReaction time

30.7%T opening success

45.1%CT opening success

0.54Enemies flashed / flash

3.7%Flash assists

12.70HE damage / grenade

8.59Flashes / 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 13.7718% — 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 30.6937% — 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.

38% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
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 →
inferno	7–13	0.03	30%	24 Jan →
warden	13–10	-0.04	27%	23 Jan →
alpine	7–13	-0.02	11%	22 Jan →