luk4r_ — CS2 Stats

76561198173382685[U:1:213116957]✓ No bans

278Tracked matches47%Win rate2021Tracked since

861Hours in CS7Hrs last 2 wks

CSDB Rating6.1 SolidHybrid Rifler

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Performance scores

Aim84

Positioning52

Utility50

0–100 skill scores via Leetify.

Recent form

STEADY43–56–1Last 10043%Win rateLWWLLLLWWW

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

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

Aim8.4

Aggression6.0

Utility5.0

Positioning5.2

Opening Duels2.4

Clutch4.6

Strong CT-side opener

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 Twistzz 92% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: 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

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

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 51% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 571ms 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

Aim8.4

Positioning5.2

Utility5.0

Mechanics7.6

Opening Duels2.7

Win Impact3.9

Composite 6.1/10 (Solid), 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 rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time568ms−36ms

first ⅓ avg 605ms → last ⅓ avg 568ms

Headshot accuracy20.8%+1.1%

first ⅓ avg 19.7% → last ⅓ avg 20.8%

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

0.29Best rating — ancient 13–3

13–2Biggest win — dust2

3Longest win streak

4–14In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 55% over 11infernoWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	32	13–19	41%	0.01
cache	B	13	7–6	54%	-0.00
dust2	B	11	5–6	45%	0.00
nuke	A	11	6–5	55%	-0.01
ancient	C	10	4–6	40%	0.02
inferno	D	9	3–6	33%	-0.01
anubis	C	8	3–5	38%	0.02
overpass	—	3	1–2	33%	-0.03
train	—	2	1–1	50%	0.03
vertigo	—	1	0–1	0%	-0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,035Lifetime kills

0.85K/D

982Matches

47.4%Match win rate · Top 50% of tracked players

46.9%Headshot % · Top 50% of tracked players

8.8%Shot accuracy

2,093MVPs

506Hours (in match)

810Bombs planted

289Bombs defused

Most-used weapons

AK-478,884

M4A4 / M4A1-S3,516

Desert Eagle1,537

AWP1,404

P2000 / USP-S1,029

Glock-18871

Galil AR536

P90509

MP9389

FAMAS335

Lifetime map wins

1,437inferno

1,336dust2

544nuke

260vertigo

133train

122office

100italy

100aztec

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

Faceit stats

Combat

304Matches

51%Win rate

1.04Avg K/D

73.0ADR

44%Headshot %

Clutches & streaks

43%1v1 clutch win

23%1v2 clutch win

6Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	91	55%	1.04	14.5
Dust2	32	50%	1.03	14.5
Ancient	31	52%	1.19	16.1
Anubis	22	45%	1.16	17.3
Nuke	20	55%	1.15	14.8
Cache	17	65%	1.11	13.8
Inferno	16	31%	0.80	13.7
Overpass	6	50%	1.13	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.

20.6%Headshot accuracy

38.7%Accuracy (enemy spotted)

39.5%Spray accuracy

84.1%Counter-strafing

9.3°Preaim

571msReaction time

27.7%T opening success

51.4%CT opening success

0.56Enemies flashed / flash

5.9%Flash assists

9.06HE damage / grenade

9.94Flashes / 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.

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 27.7326% — 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.

33% 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
ancient	6–13	-0.02	15%	28 Aug →
dust2	13–8	-0.04	21%	28 Aug →
cache	13–10	0.03	22%	21 Aug →
anubis	9–13	0.08	25%	16 Jul →
cache	5–13	-0.01	22%	15 Jul →
nuke	6–13	0.01	19%	14 Jul →
anubis	8–13	-0.04	28%	14 Jul →
cache	13–6	0.03	17%	13 Jul →
mirage	13–5	0.06	24%	13 Jul →
mirage	16–14	0.05	25%	11 Jul →
anubis	16–19	0.00	11%	11 Jul →
anubis	13–10	0.09	17%	9 Jul →
cache	5–13	-0.01	29%	8 Jul →
cache	11–13	0.04	28%	6 Jul →
mirage	10–13	-0.02	11%	6 Jul →
mirage	7–13	0.01	10%	5 Jul →
dust2	13–2	0.06	32%	4 Jul →
anubis	9–13	0.02	23%	4 Jul →
anubis	13–9	-0.01	12%	3 Jul →
ancient	13–10	0.03	25%	3 Jul →
mirage	10–13	-0.02	19%	30 Jun →
mirage	19–16	-0.00	23%	29 Jun →
dust2	13–8	0.04	30%	29 Jun →
dust2	10–13	-0.03	18%	29 Jun →
mirage	11–13	0.00	25%	28 Jun →
mirage	13–9	-0.01	4%	28 Jun →
mirage	5–13	-0.05	34%	27 Jun →
mirage	13–8	0.01	16%	21 Jun →
mirage	9–13	-0.01	19%	10 Jun →
cache	13–6	-0.01	24%	9 Jun →
ancient	8–13	0.02	20%	8 Jun →
cache	13–9	-0.03	13%	7 Jun →
mirage	8–13	-0.04	26%	4 Jun →
nuke	13–11	-0.02	11%	2 Jun →
ancient	14–16	0.00	17%	1 Jun →
cache	13–7	-0.08	21%	31 May →
ancient	13–7	0.01	16%	31 May →
cache	13–6	0.03	15%	31 May →
dust2	6–13	-0.03	9%	25 May →
nuke	6–13	-0.03	23%	23 May →
overpass	1–13	-0.08	19%	9 May →
mirage	13–7	0.06	20%	9 May →
mirage	10–13	-0.05	3%	6 May →
cache	11–13	-0.02	24%	6 May →
ancient	11–13	0.01	19%	4 May →
mirage	13–10	0.14	17%	4 May →
ancient	7–13	-0.05	14%	3 May →
cache	7–13	0.04	9%	3 May →
cache	13–5	-0.01	21%	30 Apr →
cache	11–13	-0.06	8%	30 Apr →
mirage	11–13	-0.03	17%	28 Apr →
anubis	12–16	-0.03	12%	27 Apr →
nuke	13–6	0.01	17%	27 Apr →
mirage	9–13	0.04	42%	27 Apr →
dust2	13–10	-0.03	31%	27 Apr →
nuke	7–13	-0.05	13%	24 Apr →
dust2	11–13	-0.03	12%	21 Apr →
anubis	13–8	0.05	15%	21 Apr →
mirage	13–4	-0.02	26%	21 Apr →
inferno	9–13	0.02	14%	9 Apr →
mirage	8–13	-0.01	19%	9 Apr →
dust2	13–7	0.11	24%	9 Apr →
mirage	10–13	-0.02	22%	6 Apr →
ancient	13–4	-0.02	17%	6 Apr →
mirage	6–13	-0.03	17%	5 Apr →
train	7–13	-0.02	24%	4 Apr →
mirage	13–11	0.02	16%	4 Apr →
ancient	13–3	0.29	28%	4 Apr →
nuke	5–13	0.02	20%	3 Apr →
dust2	10–13	0.00	28%	31 Mar →
inferno	13–7	-0.01	20%	30 Mar →
dust2	14–16	0.03	14%	27 Mar →
nuke	13–5	-0.02	29%	27 Mar →
mirage	16–12	0.08	14%	22 Mar →
inferno	11–13	-0.00	26%	21 Mar →
overpass	13–9	-0.03	9%	20 Mar →
mirage	13–7	0.01	10%	20 Mar →
inferno	13–8	-0.04	16%	19 Mar →
mirage	10–13	0.08	20%	16 Mar →
overpass	9–13	0.02	13%	14 Mar →
mirage	13–9	-0.01	23%	14 Mar →
mirage	10–13	0.07	21%	24 Jul →
inferno	13–7	0.02	15%	24 Jul →
mirage	14–16	-0.01	14%	29 Dec →
nuke	13–8	0.05	23%	15 Dec →
mirage	11–13	0.04	22%	9 Dec →
inferno	8–8	-0.04	28%	2 Dec →
mirage	4–13	-0.06	15%	2 Dec →
ancient	11–13	-0.05	9%	27 Nov →
inferno	5–13	-0.04	19%	25 Nov →
vertigo	2–13	-0.09	26%	24 Nov →
mirage	13–11	-0.03	26%	24 Nov →
nuke	13–6	-0.02	27%	24 Nov →
train	13–10	0.09	29%	23 Nov →
inferno	14–16	-0.00	14%	19 Nov →
dust2	6–13	-0.02	25%	10 May →
nuke	4–13	-0.03	18%	17 Apr →
nuke	13–7	-0.01	18%	12 Apr →
mirage	6–13	0.04	12%	1 Apr →
inferno	8–13	0.02	20%	31 Mar →