martin — CS2 Stats

US76561198408548804[U:1:448283076]Steam profile ↗✓ No bans

2,085Tracked matches50%Win rate2020Tracked since

2,035Hours in CS4Hrs last 2 wks

CSDB Rating4.7 DevelopingPassive Rifler

Premier CS Rating18,706Purple band · top ~13.6% of ranked players (population est.)

CSDB Leaderboard#4240 of 8045 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanGold Nova II

Ladder ranks via Leetify

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Performance scores

Aim65

Positioning30

Utility44

0–100 skill scores via Leetify.

Recent form

COLD45–49–6Last 10045%Win rateWLLLWLTLLT

Last 10 vs previous 10: -50pp win rate · -0.02 avg rating

Player DNA

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

Aim6.5

Aggression1.4

Utility4.4

Positioning3.0

Opening Duels0.0

Clutch4.0

Strong 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 NiKo 74% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower opening-fight frequency.

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 35 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 37% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 578ms 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

Aim6.5

Positioning3.0

Utility4.4

Mechanics6.3

Opening Duels0.9

Win Impact5.0

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 rating-0.02−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.02

Reaction time583ms−5ms

first ⅓ avg 587ms → last ⅓ avg 583ms

Headshot accuracy13.9%−0.7%

first ⅓ avg 14.7% → last ⅓ avg 13.9%

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 — cache 12–12

13–2Biggest win — anubis

6Longest win streak

3–3In matches decided by ≤2 rounds

8Overtime games

Map breakdown

infernoBest map · 67% over 15mirageWeakest map · 17% over 12

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	23	9–14	39%	-0.01
ancient	A	18	11–7	61%	0.01
inferno	S	15	10–5	67%	-0.01
nuke	C	12	5–7	42%	-0.01
anubis	C	12	5–7	42%	-0.02
mirage	D	12	2–10	17%	-0.02
overpass	C	5	2–3	40%	-0.04
dust2	—	3	1–2	33%	-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

57,783Lifetime kills

1.02K/D

3,891Matches

44.9%Match win rate

44.7%Headshot %

11.1%Shot accuracy

9,988MVPs

1,072Hours (in match)

4,020Bombs planted

653Bombs defused

Most-used weapons

AK-4718,269

M4A4 / M4A1-S9,268

AWP6,111

P2000 / USP-S4,267

Desert Eagle3,793

SSG 082,764

Glock-182,444

MP91,555

Galil AR1,400

P2501,329

Lifetime map wins

6,480inferno

3,075vertigo

2,835dust2

2,456nuke

1,961cbble

454train

418lake

376office

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

Faceit stats

Combat

210Matches

47%Win rate

0.88Avg K/D

67.2ADR

45%Headshot %

Clutches & streaks

40%1v1 clutch win

19%1v2 clutch win

4Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Vertigo	44	50%	0.89	13.3
Anubis	42	50%	0.82	12.2
Ancient	34	35%	0.78	11.3
Nuke	22	59%	0.73	11.2
Mirage	20	45%	0.81	12.2
Inferno	17	65%	1.37	16.0
Overpass	9	33%	0.80	10.4
Dust2	4	25%	1.07	15.8

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

33.4%Accuracy (enemy spotted)

32.2%Spray accuracy

78.4%Counter-strafing

8.0°Preaim

578msReaction time

16.0%T opening success

37.1%CT opening success

0.56Enemies flashed / flash

3.3%Flash assists

13.25HE damage / grenade

3.41Flashes / 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 14.4868% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.4057 — below the 4 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 16.0403% — below the 40% mark we flag

Spend your practice time on Mirage

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

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	16–14	0.00	18%	17 Aug →
inferno	9–13	0.00	16%	17 Aug →
anubis	5–13	-0.10	14%	15 Aug →
mirage	5–13	-0.04	24%	15 Aug →
anubis	13–7	-0.01	8%	15 Aug →
ancient	9–13	-0.04	9%	14 Aug →
ancient	12–12	0.01	17%	14 Aug →
anubis	6–13	-0.00	8%	12 Aug →
mirage	13–16	-0.07	17%	12 Aug →
cache	15–15	-0.01	22%	11 Aug →
inferno	13–8	-0.02	9%	11 Aug →
ancient	9–13	-0.05	13%	2 Aug →
cache	13–4	-0.01	7%	2 Aug →
inferno	13–4	0.02	20%	1 Aug →
ancient	13–8	0.09	15%	31 Jul →
cache	13–6	-0.00	13%	31 Jul →
nuke	9–7	0.00	15%	30 Jul →
inferno	7–9	-0.04	11%	30 Jul →
mirage	6–13	-0.03	22%	26 Jul →
inferno	13–10	-0.04	24%	26 Jul →
ancient	13–9	-0.04	16%	25 Jul →
anubis	8–13	-0.06	5%	25 Jul →
dust2	5–13	-0.01	18%	24 Jul →
cache	13–5	-0.02	13%	24 Jul →
cache	9–13	-0.06	10%	23 Jul →
anubis	3–12	0.01	7%	22 Jul →
ancient	13–10	0.07	11%	17 Jul →
mirage	10–13	0.01	26%	11 Jul →
cache	2–13	-0.04	9%	11 Jul →
cache	16–13	-0.05	10%	11 Jul →
anubis	13–6	-0.00	16%	11 Jul →
inferno	13–7	0.05	12%	11 Jul →
cache	10–13	-0.02	8%	10 Jul →
ancient	16–13	-0.03	14%	10 Jul →
cache	9–13	-0.06	10%	10 Jul →
cache	9–13	-0.04	17%	9 Jul →
ancient	9–13	-0.01	18%	8 Jul →
cache	12–12	-0.10	17%	5 Jul →
inferno	13–4	-0.05	16%	5 Jul →
inferno	13–7	-0.02	17%	2 Jul →
cache	13–5	0.05	13%	28 Jun →
mirage	12–12	-0.07	21%	22 Jun →
ancient	13–10	0.00	10%	20 Jun →
nuke	7–13	-0.05	20%	16 Jun →
inferno	8–13	-0.08	23%	25 May →
anubis	2–10	-0.05	15%	22 May →
mirage	2–13	-0.09	20%	22 May →
nuke	10–13	-0.04	15%	21 May →
ancient	13–5	-0.03	12%	19 May →
cache	3–13	-0.04	33%	17 May →
cache	13–4	0.07	25%	16 May →
inferno	13–10	-0.04	17%	16 May →
cache	10–13	-0.03	14%	14 May →
cache	8–13	0.04	21%	12 May →
ancient	13–5	0.13	19%	11 May →
nuke	13–9	-0.01	13%	9 May →
overpass	10–13	-0.03	28%	9 May →
mirage	13–4	0.10	18%	9 May →
nuke	6–13	-0.00	5%	8 May →
cache	3–13	-0.07	7%	7 May →
cache	13–5	0.05	17%	6 May →
cache	12–12	0.14	20%	5 May →
ancient	16–13	-0.02	10%	4 May →
mirage	11–13	-0.01	21%	4 May →
cache	13–6	0.05	16%	1 May →
cache	7–13	-0.03	11%	1 May →
dust2	13–6	-0.02	20%	1 May →
ancient	13–4	-0.02	13%	1 May →
cache	7–13	-0.02	20%	30 Apr →
inferno	12–16	0.04	28%	30 Apr →
cache	13–10	0.06	33%	29 Apr →
ancient	13–9	0.05	20%	27 Apr →
overpass	13–11	-0.08	7%	25 Apr →
mirage	12–12	0.05	13%	25 Apr →
overpass	13–9	-0.05	14%	24 Apr →
nuke	13–6	-0.02	13%	24 Apr →
anubis	13–2	-0.01	16%	24 Apr →
inferno	13–6	-0.00	14%	24 Apr →
ancient	11–13	0.04	10%	22 Apr →
inferno	7–13	0.01	14%	22 Apr →
dust2	10–13	-0.07	16%	19 Apr →
ancient	9–13	-0.03	13%	19 Apr →
nuke	6–13	-0.04	9%	19 Apr →
nuke	9–13	-0.03	16%	19 Apr →
anubis	13–3	0.05	19%	18 Apr →
mirage	13–10	-0.05	7%	18 Apr →
anubis	13–7	0.04	12%	18 Apr →
nuke	13–4	0.13	13%	16 Apr →
inferno	13–4	0.02	18%	10 Apr →
ancient	13–6	-0.03	18%	10 Apr →
overpass	13–16	0.00	12%	10 Apr →
nuke	10–13	-0.06	5%	10 Apr →
mirage	8–13	-0.04	24%	8 Apr →
inferno	7–1	0.02	15%	8 Apr →
ancient	10–13	0.01	11%	6 Apr →
anubis	9–13	-0.03	11%	6 Apr →
anubis	10–13	-0.06	9%	5 Apr →
nuke	9–13	0.02	18%	5 Apr →
overpass	7–13	-0.06	11%	5 Apr →
mirage	5–13	-0.01	13%	5 Apr →