AL3X AXL — CS2 Stats

BE76561198400767326[U:1:440501598]Steam profile ↗

2,040Tracked matches55%Win rate2020Tracked since

4,734Hours in CS

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating20,068Top 50% of 29,473 CSDB-tracked playersPink band · top ~8.4% of ranked players (population est.)

CSDB Leaderboard#19848 of 52481 tracked

FaceitLevel 9 · 1,960 ELOTop 20.7% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,892), 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 9 median	Level 10 median	vs Level 10
Headshot rate	67.0%	48.5%	51.9%	above
Shot accuracy	10.4%	13.3%	13.7%	3.3% short
Kill/death ratio	2.13	1.07	1.08	above
Match win rate	49.9%	47.0%	48.7%	above

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim89

Positioning59

Utility21

0–100 skill scores via Leetify.

Recent form

STEADY58–40–2Last 10058%Win rateLWLWLLWWWL

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.9

Aggression8.3

Utility2.1

Positioning5.9

Opening Duels4.6

Clutch4.4

Sharp aimerExcellent counter-strafingStrong 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.

Your pro match

Plays most like ropz 89% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: higher opening-fight frequency; 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 89 — 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.

T-side openings. Opening success drops from 59% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 596ms 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

Aim8.9

Positioning5.9

Utility2.1

Mechanics8.7

Opening Duels4.6

Win Impact6.7

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time594ms−33ms

first ⅓ avg 626ms → last ⅓ avg 594ms

Headshot accuracy23.8%+2.9%

first ⅓ avg 20.9% → last ⅓ avg 23.8%

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.

Highlights

0.14Best rating — mirage 13–3

13–1Biggest win — nuke

9Longest win streak

9–8In matches decided by ≤2 rounds

9Overtime games

Map breakdown

mirageBest map · 69% over 32infernoWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	32	22–10	69%	0.04
dust2	A	23	14–9	61%	0.02
ancient	A	18	11–7	61%	0.04
anubis	B	15	7–8	47%	0.02
inferno	D	9	2–7	22%	-0.02
nuke	—	2	2–0	100%	0.02
overpass	—	1	0–1	0%	0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

398,787Lifetime kills

2.13K/D · Top 5% of Level 9 players

6,489Matches

49.9%Match win rate · Top 25% of Level 9 players

67.0%Headshot % · Top 5% of Level 9 players

10.4%Shot accuracy

21,274MVPs

4,734Hours (in match)

5,080Bombs planted

1,330Bombs defused

Most-used weapons

AK-47272,051

M4A4 / M4A1-S37,799

AWP27,922

Desert Eagle20,225

P2000 / USP-S10,279

Glock-187,536

Galil AR4,463

FAMAS3,749

MP93,064

Knife1,831

Lifetime map wins

19,809dust2

8,718inferno

3,079nuke

2,251vertigo

837train

47cbble

35stmarc

14safehouse

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

Faceit stats

Combat

1,962Matches

51%Win rate

1.16Avg K/D

91.8ADR

42%Headshot %

Clutches & streaks

42%1v1 clutch win

32%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	209	56%	1.20	19.1
Anubis	113	53%	1.18	19.5
Ancient	74	62%	1.13	18.4
Dust2	64	53%	1.13	19.0
Vertigo	58	40%	1.03	17.7
Inferno	43	35%	1.00	17.7
Nuke	27	44%	1.01	15.9
Overpass	15	33%	0.91	14.3

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.

24.2%Headshot accuracy

38.2%Accuracy (enemy spotted)

39.5%Spray accuracy

89.0%Counter-strafing

8.4°Preaim

596msReaction time

37.8%T opening success

58.9%CT opening success

0.26Enemies flashed / flash

1.2%Flash assists

9.78HE damage / grenade

1.86Flashes / 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 0.2634 — 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 37.8428% — below the 40% mark we flag

Spend your practice time on Inferno

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	8–13	-0.08	8%	22 Apr →
mirage	13–8	0.04	19%	22 Apr →
dust2	12–16	-0.03	15%	1 Mar →
dust2	13–8	0.02	28%	25 Feb →
ancient	11–13	0.09	26%	25 Feb →
inferno	10–13	0.01	20%	25 Feb →
dust2	13–8	-0.01	24%	22 Feb →
mirage	13–5	0.02	20%	22 Feb →
ancient	13–9	0.09	24%	22 Feb →
ancient	1–13	-0.03	24%	22 Feb →
anubis	11–13	0.04	19%	19 Feb →
dust2	13–8	0.05	23%	19 Feb →
ancient	13–7	0.10	21%	15 Feb →
mirage	13–8	0.04	22%	15 Feb →
dust2	4–13	-0.00	17%	14 Feb →
dust2	13–9	0.13	34%	14 Feb →
ancient	11–13	-0.02	40%	14 Feb →
anubis	15–15	-0.01	21%	13 Feb →
mirage	13–9	0.03	36%	13 Feb →
mirage	13–8	-0.02	22%	9 Feb →
dust2	13–6	-0.03	16%	9 Feb →
dust2	13–8	-0.00	29%	9 Feb →
mirage	13–10	0.02	38%	8 Feb →
dust2	6–13	-0.01	21%	8 Feb →
ancient	10–13	0.03	22%	8 Feb →
ancient	4–13	0.04	25%	8 Feb →
mirage	13–4	0.13	25%	8 Feb →
dust2	13–10	0.08	32%	7 Feb →
anubis	3–13	-0.04	23%	7 Feb →
anubis	6–13	-0.02	28%	6 Feb →
anubis	13–9	-0.07	17%	6 Feb →
ancient	13–10	0.06	24%	5 Feb →
ancient	13–8	-0.02	22%	4 Feb →
anubis	6–13	0.07	16%	4 Feb →
inferno	2–13	-0.09	19%	4 Feb →
mirage	13–10	0.10	20%	2 Feb →
dust2	13–4	-0.02	41%	1 Feb →
mirage	13–7	0.03	46%	1 Feb →
mirage	13–9	0.06	23%	1 Feb →
mirage	9–13	-0.05	27%	1 Feb →
dust2	13–5	0.04	21%	1 Feb →
ancient	13–16	-0.01	24%	31 Jan →
mirage	12–16	0.01	18%	31 Jan →
dust2	13–10	0.04	30%	31 Jan →
dust2	11–13	0.03	22%	31 Jan →
dust2	15–15	0.01	22%	31 Jan →
mirage	11–13	0.03	25%	31 Jan →
ancient	4–13	0.07	23%	31 Jan →
mirage	14–16	-0.03	21%	31 Jan →
ancient	13–7	0.03	35%	30 Jan →
anubis	10–13	-0.00	10%	30 Jan →
anubis	13–11	0.07	22%	28 Jan →
mirage	2–13	-0.04	14%	28 Jan →
anubis	13–4	0.02	19%	26 Jan →
anubis	13–8	0.05	6%	26 Jan →
mirage	3–13	0.02	15%	25 Jan →
ancient	13–11	0.04	18%	25 Jan →
anubis	13–8	0.07	19%	25 Jan →
mirage	13–7	0.11	18%	25 Jan →
dust2	7–13	0.03	18%	24 Jan →
mirage	13–7	0.10	13%	23 Jan →
inferno	6–13	-0.04	25%	23 Jan →
mirage	11–13	0.01	13%	23 Jan →
mirage	6–13	0.02	22%	23 Jan →
anubis	13–9	0.04	25%	22 Jan →
mirage	5–13	-0.01	26%	22 Jan →
mirage	13–11	0.08	22%	22 Jan →
anubis	13–9	0.02	17%	21 Jan →
anubis	11–13	0.06	22%	21 Jan →
anubis	7–13	0.01	18%	20 Jan →
mirage	13–4	0.06	35%	20 Jan →
inferno	7–13	-0.04	13%	18 Jan →
nuke	13–11	-0.00	19%	18 Jan →
mirage	4–13	-0.03	17%	16 Jan →
dust2	8–13	-0.01	15%	16 Jan →
ancient	13–4	0.07	9%	16 Jan →
inferno	9–13	-0.03	21%	16 Jan →
dust2	13–2	0.03	21%	15 Jan →
dust2	13–5	0.12	32%	14 Jan →
mirage	13–8	0.02	26%	13 Jan →
mirage	13–6	0.01	16%	12 Jan →
inferno	13–11	0.07	25%	11 Jan →
mirage	13–8	-0.00	16%	11 Jan →
ancient	13–10	0.00	23%	11 Jan →
dust2	9–13	-0.05	18%	11 Jan →
inferno	3–13	-0.01	23%	11 Jan →
dust2	13–11	-0.06	18%	11 Jan →
mirage	13–7	0.06	16%	11 Jan →
ancient	13–7	0.01	21%	11 Jan →
inferno	16–14	0.01	29%	10 Jan →
nuke	13–1	0.05	27%	10 Jan →
ancient	13–11	0.11	24%	10 Jan →
mirage	13–3	0.14	18%	10 Jan →
mirage	13–11	0.10	24%	10 Jan →
ancient	13–5	0.03	15%	10 Jan →
overpass	12–16	0.00	14%	10 Jan →
dust2	13–16	0.13	40%	10 Jan →
dust2	13–6	0.01	18%	8 Jan →
mirage	13–4	0.11	24%	7 Jan →
mirage	13–10	0.01	19%	7 Jan →