Samuka R18 — CS2 Stats

76561198806162098[U:1:845896370]

872Tracked matches41%Win rate2020Tracked since

3,099Hours in CS5Hrs last 2 wks

CSDB Rating4.7 DevelopingHybrid Rifler

Ladder ranks via Leetify

Rating over time

1Days observed since 2026-08-30

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim67

Positioning44

Utility54

0–100 skill scores via Leetify.

Recent form

COLD44–52–4Last 10044%Win rateLWLLLTLLLL

Last 10 vs previous 10: -70pp win rate · -0.05 avg rating

Player DNA

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

Aim6.7

Aggression5.1

Utility5.4

Positioning4.4

Opening Duels0.4

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 NiKo 83% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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. 620ms 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

Aim6.7

Positioning4.4

Utility5.4

Mechanics4.6

Opening Duels0.9

Win Impact2.1

Composite 4.7/10 (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 0.01 → last ⅓ avg 0.00

Reaction time603ms−12ms

first ⅓ avg 615ms → last ⅓ avg 603ms

Headshot accuracy12.8%+0.0%

first ⅓ avg 12.8% → last ⅓ avg 12.8%

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

0.12Best rating — mirage 13–8

13–2Biggest win — dust2

6Longest win streak

8–6In matches decided by ≤2 rounds

8Overtime games

Map breakdown

mirageBest map · 50% over 22ancientWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	29	12–17	41%	0.01
dust2	C	24	9–15	38%	-0.01
mirage	B	22	11–11	50%	0.02
anubis	B	12	6–6	50%	0.01
ancient	D	7	2–5	29%	0.03
overpass	—	4	3–1	75%	0.02
cache	—	1	1–0	100%	0.02
nuke	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,266Lifetime kills

0.97K/D

2,945Matches

44.2%Match win rate

35.3%Headshot %

17.0%Shot accuracy · Top 25% of tracked players

8,035MVPs

1,037Hours (in match)

2,846Bombs planted

565Bombs defused

Most-used weapons

AK-4713,378

AWP10,964

M4A4 / M4A1-S7,398

P2000 / USP-S4,000

Glock-182,315

Desert Eagle1,918

MAC-101,671

MP91,220

Knife1,200

SSG 081,137

Lifetime map wins

2,086inferno

2,020cbble

1,981dust2

801vertigo

320nuke

223train

39lake

23safehouse

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

Faceit stats

Combat

64Matches

47%Win rate

1.16Avg K/D

87.1ADR

35%Headshot %

Clutches & streaks

39%1v1 clutch win

21%1v2 clutch win

3Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	15	40%	1.12	17.4
Mirage	8	38%	1.41	19.3
Dust2	7	71%	1.42	20.7
Anubis	5	100%	1.20	19.0
Ancient	4	25%	0.98	21.0
Cache	3	33%	0.88	15.3
Overpass	1	0%	1.33	20.0
Nuke	1	0%	0.57	13.0

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.

14.0%Headshot accuracy

38.3%Accuracy (enemy spotted)

44.6%Spray accuracy

70.5%Counter-strafing

9.4°Preaim

620msReaction time

25.6%T opening success

37.5%CT opening success

0.63Enemies flashed / flash

5.9%Flash assists

9.58HE damage / grenade

7.79Flashes / 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 14.0407% — 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 25.6422% — below the 40% mark we flag

Spend your practice time on Ancient

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	6–13	-0.04	15%	23 Aug →
inferno	13–4	0.01	13%	23 Aug →
anubis	0–3	-0.08	0%	27 Jul →
dust2	1–13	-0.04	11%	27 Jul →
ancient	8–13	0.03	12%	27 Jul →
inferno	15–15	0.04	14%	1 Jul →
inferno	2–9	-0.15	0%	1 Jul →
dust2	10–13	0.05	21%	29 Jun →
inferno	5–13	-0.01	23%	29 Jun →
ancient	10–13	0.05	16%	26 Jun →
dust2	7–13	-0.08	18%	26 Jun →
mirage	13–9	0.00	13%	26 Jun →
anubis	13–7	0.10	13%	26 Jun →
anubis	13–4	0.04	10%	26 Jun →
mirage	13–10	0.03	25%	26 Jun →
inferno	13–9	0.04	11%	24 Jun →
dust2	6–13	-0.02	10%	24 Jun →
mirage	13–5	0.08	13%	23 Jun →
inferno	13–5	0.10	10%	23 Jun →
dust2	16–13	0.04	13%	23 Jun →
inferno	10–13	0.04	11%	22 Jun →
dust2	7–13	-0.07	15%	22 Jun →
anubis	2–13	-0.05	12%	17 Jun →
anubis	11–13	-0.04	9%	17 Jun →
mirage	5–13	-0.00	27%	15 Jun →
anubis	13–11	0.05	6%	15 Jun →
mirage	6–13	0.00	14%	3 Jun →
dust2	11–13	0.01	9%	2 Jun →
mirage	16–13	-0.02	27%	1 Jun →
inferno	6–9	0.02	10%	1 Jun →
cache	13–6	0.02	11%	24 May →
dust2	6–13	-0.10	3%	21 May →
anubis	6–13	0.00	9%	21 May →
mirage	5–13	0.02	12%	21 May →
overpass	3–13	-0.01	14%	19 May →
mirage	1–13	-0.03	29%	19 May →
inferno	5–13	0.05	13%	19 May →
ancient	9–13	0.02	11%	15 May →
dust2	13–10	-0.01	15%	14 May →
mirage	10–13	0.03	7%	14 May →
overpass	13–6	0.08	12%	14 May →
dust2	13–2	0.08	16%	14 May →
inferno	13–9	0.03	10%	13 May →
anubis	13–8	0.06	15%	13 May →
inferno	3–13	-0.01	14%	13 May →
mirage	13–4	-0.01	21%	13 May →
inferno	6–9	0.04	8%	13 May →
inferno	3–9	-0.11	18%	13 May →
mirage	12–16	0.03	22%	12 May →
inferno	13–5	0.10	22%	12 May →
dust2	9–13	-0.05	13%	12 May →
mirage	9–13	0.03	6%	12 May →
dust2	15–15	-0.01	10%	12 May →
inferno	7–9	0.01	15%	12 May →
anubis	5–13	-0.00	10%	12 May →
inferno	13–11	0.04	10%	12 May →
inferno	8–8	0.03	16%	12 May →
inferno	7–9	0.02	16%	12 May →
inferno	8–13	-0.03	18%	11 May →
mirage	13–11	0.01	13%	11 May →
inferno	9–7	-0.01	13%	11 May →
inferno	9–7	0.07	21%	11 May →
dust2	13–7	-0.04	16%	8 May →
dust2	13–9	-0.01	24%	8 May →
mirage	13–5	0.00	26%	8 May →
ancient	6–13	0.01	11%	8 May →
mirage	13–6	-0.05	10%	8 May →
inferno	13–10	-0.04	19%	8 May →
inferno	7–13	-0.05	14%	8 May →
mirage	13–8	0.12	14%	6 May →
dust2	15–15	-0.02	11%	4 May →
dust2	10–13	-0.01	8%	4 May →
ancient	13–3	0.09	20%	4 May →
overpass	13–9	-0.03	8%	3 May →
inferno	7–13	0.01	13%	27 Apr →
overpass	13–10	0.02	16%	27 Apr →
ancient	11–2	0.10	4%	27 Apr →
mirage	9–13	-0.01	9%	27 Apr →
inferno	9–13	0.07	11%	22 Apr →
mirage	13–10	0.04	10%	22 Apr →
mirage	14–16	0.03	13%	21 Apr →
dust2	16–14	0.05	10%	21 Apr →
nuke	9–13	0.01	4%	21 Apr →
ancient	5–13	-0.08	10%	21 Apr →
dust2	9–13	-0.08	18%	21 Apr →
anubis	4–13	-0.05	8%	21 Apr →
inferno	1–9	-0.17	42%	21 Apr →
inferno	9–7	0.11	17%	21 Apr →
anubis	13–6	0.05	6%	21 Apr →
dust2	8–13	0.06	14%	21 Apr →
mirage	13–8	0.03	17%	20 Apr →
inferno	13–6	0.01	0%	20 Apr →
dust2	13–5	0.05	9%	17 Apr →
anubis	13–11	-0.01	13%	17 Apr →
dust2	6–13	-0.06	13%	17 Apr →
dust2	13–4	0.01	16%	17 Apr →
inferno	13–2	0.01	15%	16 Apr →
dust2	13–9	-0.02	11%	16 Apr →
mirage	9–13	0.01	13%	15 Apr →
mirage	11–13	-0.02	21%	15 Apr →