luffyssuuiiiii — CS2 Stats

FR76561199247571819[U:1:1287306091]Steam profile ↗

264Tracked matches57%Win rate2025Tracked since

206Hours in CS7Hrs last 2 wks

CSDB Rating4.4 Developing

Ladder ranks via Leetify

Performance scores

Aim52

Positioning40

Utility51

0–100 skill scores via Leetify.

Recent form

HOT57–35–8Last 10057%Win rateWLWLWWWLWW

Last 10 vs previous 10: +10pp win rate · -0.04 avg rating

Player DNA

Aim5.2

Aggression5.0

Utility5.1

Positioning4.0

Opening Duels0.8

Clutch1.8

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 NiKo 80% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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. 668ms 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

Aim5.2

Positioning4.0

Utility5.1

Mechanics6.5

Opening Duels0.8

Win Impact7.4

Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time668ms−95ms

first ⅓ avg 763ms → last ⅓ avg 668ms

Headshot accuracy14.6%+2.0%

first ⅓ avg 12.5% → last ⅓ avg 14.6%

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

0.09Best rating — dust2 13–4

13–2Biggest win — anubis

6Longest win streak

10–6In matches decided by ≤2 rounds

3Overtime games

Map breakdown

dust2Best map · 71% over 21infernoWeakest map · 46% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	21	15–6	71%	0.00
nuke	B	21	11–10	52%	-0.01
inferno	B	13	6–7	46%	-0.02
mirage	B	13	6–7	46%	-0.01
anubis	A	9	5–4	56%	-0.02
cache	S	7	5–2	71%	-0.01
ancient	A	7	4–3	57%	-0.01
overpass	B	6	3–3	50%	-0.06
train	—	2	2–0	100%	-0.04
golden	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (46% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

4,337Lifetime kills

0.78K/D

325Matches

52.6%Match win rate · Top 10% of tracked players

40.0%Headshot %

0.0%Shot accuracy

472MVPs

120Hours (in match)

452Bombs planted

59Bombs defused

Most-used weapons

AK-471,724

M4A4 / M4A1-S1,307

P2000 / USP-S307

Galil AR196

Glock-18194

MP9136

Desert Eagle99

AWP74

MAC-1072

UMP-4541

Lifetime map wins

741dust2

484nuke

428inferno

283train

20vertigo

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

Faceit stats

Combat

27Matches

44%Win rate

0.76Avg K/D

65.9ADR

41%Headshot %

Clutches & streaks

29%1v1 clutch win

17%1v2 clutch win

4Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	7	71%	0.78	11.0
Mirage	6	33%	0.62	13.5
Nuke	5	40%	0.98	15.6
Train	3	67%	1.02	20.3
Ancient	3	33%	0.74	8.0
Inferno	2	0%	0.33	6.5
Overpass	1	0%	0.56	9.0

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.

14.5%Headshot accuracy

34.0%Accuracy (enemy spotted)

36.5%Spray accuracy

79.2%Counter-strafing

10.9°Preaim

668msReaction time

34.8%T opening success

31.4%CT opening success

0.55Enemies flashed / flash

4.8%Flash assists

9.12HE damage / grenade

9.90Flashes / 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 14.468% — 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 34.8007% — 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.

46% win rate across 13 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
dust2	13–8	-0.04	17%	29 Aug →
inferno	9–13	-0.11	23%	29 Aug →
dust2	13–11	-0.00	18%	28 Aug →
nuke	5–13	-0.11	13%	28 Aug →
dust2	13–5	0.01	16%	26 Aug →
cache	13–7	-0.05	10%	26 Aug →
ancient	13–10	0.00	6%	25 Aug →
nuke	10–13	-0.04	14%	25 Aug →
cache	13–8	-0.01	10%	30 Jul →
nuke	16–14	0.00	13%	30 Jul →
cache	13–9	-0.05	14%	28 Jul →
dust2	13–11	0.04	15%	27 Jul →
cache	13–6	0.01	10%	27 Jul →
mirage	17–19	-0.04	13%	23 Jul →
dust2	13–6	0.02	13%	23 Jul →
nuke	8–13	0.04	12%	23 Jul →
nuke	5–13	0.00	13%	23 Jul →
inferno	12–12	-0.04	32%	17 Jul →
ancient	13–8	0.08	13%	17 Jul →
nuke	13–8	0.01	14%	17 Jul →
anubis	13–2	0.08	14%	17 Jul →
mirage	10–13	-0.03	6%	16 Jul →
nuke	13–11	0.05	15%	16 Jul →
inferno	5–13	-0.01	17%	2 Jul →
overpass	7–13	-0.08	6%	2 Jul →
mirage	12–12	-0.07	21%	2 Jul →
nuke	11–13	-0.04	13%	28 May →
overpass	11–13	-0.05	22%	13 May →
inferno	13–10	0.04	10%	13 May →
dust2	8–13	-0.01	19%	13 May →
inferno	13–11	-0.05	11%	4 May →
cache	9–13	-0.00	28%	1 May →
anubis	13–4	-0.06	11%	1 May →
anubis	9–13	-0.10	28%	30 Apr →
cache	13–8	0.04	13%	30 Apr →
cache	4–13	-0.00	13%	30 Apr →
overpass	5–12	-0.14	0%	28 Apr →
nuke	13–11	-0.03	15%	28 Apr →
nuke	13–7	-0.01	16%	27 Apr →
dust2	13–11	-0.05	12%	27 Apr →
inferno	13–8	-0.01	13%	27 Apr →
mirage	13–8	0.04	14%	27 Apr →
train	13–11	-0.04	9%	23 Apr →
anubis	8–13	-0.04	4%	16 Apr →
nuke	13–8	-0.05	16%	16 Apr →
dust2	13–4	-0.03	13%	10 Apr →
ancient	11–13	-0.04	7%	10 Apr →
nuke	13–7	-0.00	16%	9 Apr →
mirage	6–13	-0.01	22%	9 Apr →
dust2	9–13	0.02	22%	9 Apr →
overpass	13–6	0.03	21%	9 Apr →
anubis	13–11	-0.02	11%	8 Apr →
ancient	13–5	0.01	11%	3 Apr →
inferno	8–13	-0.00	10%	24 Mar →
dust2	13–4	0.09	15%	24 Mar →
nuke	11–13	-0.04	8%	24 Mar →
nuke	2–13	-0.04	14%	24 Mar →
anubis	13–5	-0.03	14%	20 Mar →
dust2	13–3	0.07	7%	20 Mar →
mirage	13–5	0.04	11%	19 Mar →
nuke	15–15	-0.03	8%	19 Mar →
dust2	12–12	-0.04	12%	19 Mar →
inferno	9–13	-0.06	16%	19 Mar →
dust2	13–8	-0.02	12%	15 Mar →
nuke	10–13	-0.02	2%	15 Mar →
nuke	13–3	0.02	17%	7 Mar →
dust2	12–12	-0.06	9%	7 Mar →
mirage	13–6	-0.01	11%	5 Mar →
inferno	13–6	0.02	15%	5 Mar →
nuke	12–12	0.08	13%	5 Mar →
dust2	7–13	0.02	2%	5 Mar →
mirage	12–12	-0.05	6%	2 Mar →
dust2	13–4	-0.02	14%	2 Mar →
mirage	7–13	0.03	7%	29 Jan →
mirage	11–13	-0.07	7%	23 Jan →
overpass	13–11	-0.06	5%	23 Jan →
inferno	10–13	-0.06	11%	21 Jan →
golden	9–13	-0.05	8%	21 Jan →
mirage	13–5	0.03	15%	21 Jan →
dust2	13–8	-0.00	24%	21 Jan →
nuke	13–6	-0.02	16%	21 Jan →
anubis	9–13	-0.02	13%	21 Jan →
ancient	13–7	-0.00	20%	21 Jan →
nuke	13–9	-0.05	15%	16 Jan →
overpass	13–2	-0.07	16%	16 Jan →
mirage	13–10	0.02	15%	16 Jan →
dust2	9–13	-0.04	19%	16 Jan →
ancient	6–13	-0.10	0%	16 Jan →
inferno	13–5	-0.01	19%	16 Jan →
inferno	13–10	0.01	19%	15 Jan →
anubis	8–13	-0.02	7%	15 Jan →
dust2	13–10	0.04	13%	15 Jan →
anubis	13–8	-0.02	16%	15 Jan →
ancient	3–13	-0.05	6%	15 Jan →
mirage	13–9	-0.04	14%	9 Jan →
dust2	13–2	0.02	12%	9 Jan →
nuke	13–4	0.00	8%	9 Jan →
inferno	12–12	0.00	18%	9 Jan →
train	13–8	-0.03	15%	9 Jan →
dust2	13–3	0.07	17%	9 Jan →