Lurxy — CS2 Stats

UA76561199001158720[U:1:1040892992]Steam profile ↗✓ No bans

1,338Tracked matches57%Win rate2020Tracked since

2,270Hours in CS29Hrs last 2 wks

CSDB Rating5.8 SolidHybrid Rifler

Premier CS Rating24,594Top 25% of 17,162 CSDB-tracked playersPink band · top ~3.4% of ranked players (population est.)

CSDB Leaderboard#5246 of 34322 tracked

FaceitLevel 9 · 1,843 ELOTop 20.7% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,109), 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	50.7%	49.0%	52.0%	1.3% short
Shot accuracy	6.5%	13.1%	13.7%	7.1% short
Kill/death ratio	0.97	1.08	1.08	0.11 short
Match win rate	48.5%	46.9%	48.8%	meets

This profile matches the typical Level 10 player on 1 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

Aim63

Positioning51

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY54–44–2Last 10054%Win rateLLWWWWWWLL

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

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.3

Aggression7.7

Utility6.5

Positioning5.1

Opening Duels2.8

Clutch3.8

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 89% playstyle similarity

Most alike: opening-fight frequency, 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. 603ms 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

Aim6.3

Positioning5.1

Utility6.5

Mechanics5.2

Opening Duels2.8

Win Impact7.4

Composite 5.8/10 (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 rating-0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg -0.00

Reaction time599ms+34ms

first ⅓ avg 565ms → last ⅓ avg 599ms

Headshot accuracy19.8%−1.6%

first ⅓ avg 21.4% → last ⅓ avg 19.8%

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

0.11Best rating — inferno 13–10

13–0Biggest win — anubis

6Longest win streak

L2Current streak

2–8In matches decided by ≤2 rounds

7Overtime games

Map breakdown

infernoBest map · 55% over 20cacheWeakest map · 50% over 16

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	37	20–17	54%	-0.00
anubis	B	21	11–10	52%	-0.01
inferno	A	20	11–9	55%	0.02
cache	B	16	8–8	50%	0.01
mirage	—	3	1–2	33%	-0.01
ancient	—	2	2–0	100%	0.02
nuke	—	1	1–0	100%	0.00

Across the last 100 tracked matches.

Lifetime stats

58,025Lifetime kills

0.97K/D

3,384Matches

48.5%Match win rate · Top 50% of Level 9 players

50.7%Headshot % · Top 50% of Level 9 players

6.5%Shot accuracy

7,358MVPs

1,510Hours (in match)

2,766Bombs planted

761Bombs defused

Most-used weapons

AK-4720,966

M4A4 / M4A1-S9,052

Desert Eagle4,654

P2000 / USP-S3,990

AWP2,948

MP92,512

Glock-182,388

MAC-101,408

Galil AR1,037

SG 553882

Lifetime map wins

10,645dust2

6,570inferno

695vertigo

632nuke

531train

27lake

26office

19cbble

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

Faceit stats

Combat

412Matches

53%Win rate

1.11Avg K/D

77.4ADR

46%Headshot %

Clutches & streaks

39%1v1 clutch win

19%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	46	59%	1.05	15.3
Mirage	21	43%	1.05	13.2
Anubis	20	55%	1.13	15.2
Inferno	17	65%	1.16	15.9
Ancient	16	38%	0.83	12.9
Nuke	4	50%	0.84	12.5
Train	4	100%	2.62	22.8
Vertigo	3	0%	0.67	11.3

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.

19.8%Headshot accuracy

33.3%Accuracy (enemy spotted)

40.1%Spray accuracy

73.2%Counter-strafing

11.0°Preaim

603msReaction time

35.2%T opening success

47.1%CT opening success

0.46Enemies flashed / flash

10.6%Flash assists

8.41HE damage / grenade

15.47Flashes / 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 0.457 — 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 35.181% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
mirage	9–13	-0.00	23%	29 Aug →
cache	7–13	-0.06	17%	28 Aug →
ancient	13–3	0.02	26%	28 Aug →
inferno	13–3	0.10	24%	27 Aug →
dust2	13–5	-0.05	19%	27 Aug →
inferno	13–9	-0.01	20%	26 Aug →
dust2	13–8	0.04	22%	26 Aug →
dust2	13–3	0.02	18%	26 Aug →
dust2	7–13	-0.03	22%	26 Aug →
anubis	14–16	0.02	18%	25 Aug →
cache	13–4	-0.01	25%	25 Aug →
cache	10–13	0.00	27%	25 Aug →
dust2	13–10	0.04	21%	24 Aug →
dust2	16–13	-0.04	25%	24 Aug →
anubis	9–13	-0.02	33%	23 Aug →
dust2	15–15	0.02	25%	23 Aug →
cache	15–15	-0.02	9%	23 Aug →
dust2	14–16	-0.03	21%	23 Aug →
dust2	13–8	-0.06	10%	22 Aug →
anubis	13–10	-0.05	11%	22 Aug →
dust2	13–8	-0.03	5%	20 Aug →
mirage	5–13	-0.07	8%	20 Aug →
inferno	13–7	0.03	16%	18 Aug →
dust2	13–8	-0.02	23%	18 Aug →
anubis	8–13	0.01	29%	17 Aug →
dust2	5–13	-0.05	18%	17 Aug →
anubis	13–7	0.11	17%	17 Aug →
cache	4–13	-0.01	17%	16 Aug →
dust2	13–4	0.03	27%	14 Aug →
inferno	1–13	-0.01	19%	14 Aug →
dust2	13–4	0.01	14%	14 Aug →
anubis	13–3	0.02	21%	13 Aug →
dust2	13–5	0.06	23%	13 Aug →
cache	11–13	-0.03	21%	13 Aug →
inferno	2–13	-0.02	23%	12 Aug →
anubis	13–6	0.00	21%	11 Aug →
anubis	1–13	-0.10	25%	11 Aug →
inferno	9–13	0.05	21%	11 Aug →
dust2	7–13	-0.01	13%	11 Aug →
dust2	13–8	-0.02	17%	11 Aug →
dust2	13–8	0.00	13%	10 Aug →
mirage	13–10	0.05	21%	9 Aug →
anubis	8–13	-0.02	25%	9 Aug →
dust2	13–7	0.06	24%	9 Aug →
anubis	2–13	-0.08	21%	8 Aug →
cache	13–9	0.11	27%	8 Aug →
anubis	13–5	-0.01	21%	8 Aug →
inferno	5–13	-0.03	38%	7 Aug →
anubis	8–13	-0.07	20%	7 Aug →
dust2	9–13	0.01	28%	7 Aug →
cache	13–10	0.06	33%	7 Aug →
inferno	11–13	0.04	19%	7 Aug →
inferno	13–7	0.10	24%	7 Aug →
dust2	13–11	-0.03	20%	7 Aug →
inferno	13–5	0.02	23%	6 Aug →
inferno	9–13	0.06	23%	6 Aug →
dust2	16–12	0.09	13%	5 Aug →
inferno	3–13	-0.03	30%	5 Aug →
dust2	2–13	-0.08	17%	5 Aug →
dust2	2–13	-0.05	43%	4 Aug →
dust2	11–13	0.01	22%	4 Aug →
cache	7–13	0.07	21%	4 Aug →
ancient	16–13	0.02	27%	3 Aug →
anubis	13–9	0.03	12%	3 Aug →
dust2	13–4	0.06	24%	3 Aug →
dust2	13–10	0.07	17%	3 Aug →
cache	10–13	-0.05	22%	2 Aug →
anubis	5–13	0.04	25%	2 Aug →
dust2	8–13	-0.12	21%	2 Aug →
anubis	13–0	-0.01	27%	2 Aug →
cache	10–13	-0.02	21%	1 Aug →
anubis	13–4	-0.02	18%	1 Aug →
dust2	10–13	-0.00	18%	1 Aug →
inferno	13–10	0.11	18%	31 Jul →
cache	13–10	-0.03	34%	31 Jul →
cache	13–9	0.07	26%	31 Jul →
inferno	13–2	-0.00	21%	31 Jul →
cache	13–3	0.01	17%	31 Jul →
inferno	13–7	0.07	23%	31 Jul →
dust2	11–13	0.01	31%	31 Jul →
inferno	6–13	0.00	18%	31 Jul →
dust2	11–13	-0.01	11%	31 Jul →
inferno	13–10	-0.01	29%	30 Jul →
anubis	3–13	0.02	16%	30 Jul →
dust2	13–4	0.04	22%	29 Jul →
dust2	13–10	0.03	16%	29 Jul →
dust2	11–13	-0.01	23%	29 Jul →
cache	13–6	0.11	19%	29 Jul →
inferno	13–2	-0.05	20%	29 Jul →
inferno	4–13	-0.06	6%	28 Jul →
cache	13–10	-0.04	26%	28 Jul →
anubis	13–3	-0.02	28%	28 Jul →
dust2	8–13	-0.03	29%	28 Jul →
anubis	13–6	0.00	23%	28 Jul →
dust2	7–13	0.03	25%	27 Jul →
nuke	13–11	0.00	29%	27 Jul →
inferno	13–4	0.01	19%	27 Jul →
anubis	7–12	0.00	18%	27 Jul →
anubis	13–2	-0.02	18%	26 Jul →
dust2	3–13	-0.09	12%	25 Jul →