Martin — CS2 Stats

76561198255285395[U:1:295019667]✓ No bans

1,051Tracked matches53%Win rate2020Tracked since

3,187Hours in CS18Hrs last 2 wks

CSDB Rating6.4 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim84

Positioning64

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY50–49–1Last 10050%Win rateLLWWWWLLWW

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.4

Aggression7.6

Utility6.2

Positioning6.4

Opening Duels3.3

Clutch4.2

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 97% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim8.4

Positioning6.4

Utility6.2

Mechanics7.2

Opening Duels3.3

Win Impact6.1

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.03

Reaction time524ms−40ms

first ⅓ avg 563ms → last ⅓ avg 524ms

Headshot accuracy16.5%−1.6%

first ⅓ avg 18.1% → last ⅓ avg 16.5%

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

0.16Best rating — mirage 13–3

13–2Biggest win — inferno

4Longest win streak

L2Current streak

6–6In matches decided by ≤2 rounds

6Overtime games

Map breakdown

ancientBest map · 63% over 24overpassWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	24	15–9	63%	0.01
inferno	A	22	13–9	59%	0.01
dust2	B	19	9–10	47%	0.01
nuke	C	12	5–7	42%	0.01
cache	C	5	2–3	40%	0.02
mirage	A	5	3–2	60%	0.08
overpass	D	5	1–4	20%	0.02
anubis	D	5	1–4	20%	0.00
train	—	2	0–2	0%	0.08
warden	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

71,013Lifetime kills

1.24K/D · Top 25% of tracked players

3,196Matches

44.5%Match win rate

35.4%Headshot %

17.0%Shot accuracy · Top 25% of tracked players

8,836MVPs

1,697Hours (in match)

3,708Bombs planted

1,500Bombs defused

Most-used weapons

AK-4720,592

M4A4 / M4A1-S12,448

AWP9,589

Desert Eagle4,550

P2000 / USP-S4,087

Glock-182,198

FAMAS2,151

P2501,839

Galil AR1,473

Knife1,294

Lifetime map wins

5,945inferno

5,435dust2

1,433cbble

1,294nuke

923train

124vertigo

36italy

27office

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

Faceit stats

Combat

1,016Matches

50%Win rate

1.25Avg K/D

80.8ADR

35%Headshot %

Clutches & streaks

41%1v1 clutch win

21%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	78	50%	1.12	15.9
Inferno	68	40%	1.18	15.4
Anubis	47	55%	1.23	16.3
Dust2	46	52%	1.23	15.7
Nuke	32	44%	1.12	15.4
Overpass	14	29%	1.12	17.6
Train	11	55%	1.20	17.1
Cache	4	25%	1.20	16.5

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.

16.0%Headshot accuracy

39.5%Accuracy (enemy spotted)

41.6%Spray accuracy

82.5%Counter-strafing

9.0°Preaim

526msReaction time

40.1%T opening success

46.2%CT opening success

0.52Enemies flashed / flash

4.4%Flash assists

8.62HE damage / grenade

13.09Flashes / match

Recommended for you

Spend your practice time on Overpass

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	8–13	0.11	30%	26 Aug →
dust2	3–13	-0.01	20%	25 Aug →
cache	16–13	0.03	12%	25 Aug →
dust2	13–4	0.04	20%	24 Aug →
mirage	13–3	0.15	15%	24 Aug →
nuke	13–8	0.06	13%	23 Aug →
mirage	6–13	-0.01	15%	23 Aug →
ancient	8–13	0.06	10%	22 Aug →
ancient	13–8	0.11	22%	22 Aug →
dust2	13–8	0.13	18%	22 Aug →
mirage	7–13	0.02	20%	22 Aug →
train	7–13	0.15	17%	15 Aug →
inferno	16–12	-0.05	17%	12 Aug →
nuke	13–11	-0.00	14%	27 Jul →
inferno	13–4	0.00	15%	27 Jul →
nuke	13–9	0.07	18%	22 Jul →
cache	9–13	-0.01	15%	22 Jul →
inferno	13–2	0.02	9%	22 Jul →
ancient	13–6	0.02	18%	22 Jul →
ancient	13–9	0.03	18%	22 Jul →
inferno	9–13	-0.00	13%	13 Jul →
ancient	13–5	0.01	15%	13 Jul →
inferno	6–13	-0.01	21%	13 Jul →
dust2	6–13	-0.01	20%	13 Jul →
dust2	10–13	-0.02	10%	8 Jul →
ancient	13–10	-0.01	13%	22 Jun →
ancient	13–16	0.05	11%	22 Jun →
dust2	11–13	-0.08	18%	22 Jun →
overpass	9–13	0.01	4%	15 Jun →
ancient	13–8	0.00	26%	15 Jun →
ancient	13–8	0.04	27%	15 Jun →
nuke	13–6	-0.04	24%	15 Jun →
nuke	10–13	0.01	8%	10 Jun →
inferno	13–6	0.00	31%	8 Jun →
inferno	13–7	-0.04	14%	8 Jun →
cache	16–19	0.01	20%	31 May →
inferno	13–4	0.00	29%	30 May →
dust2	6–13	-0.04	16%	30 May →
dust2	13–7	0.03	12%	30 May →
overpass	13–7	0.03	22%	29 May →
inferno	13–3	0.08	19%	29 May →
nuke	10–13	-0.04	15%	29 May →
dust2	13–8	0.04	20%	27 May →
nuke	11–13	-0.02	20%	20 May →
dust2	5–13	-0.03	32%	20 May →
dust2	13–10	0.03	14%	20 May →
dust2	2–13	-0.04	11%	9 May →
inferno	13–11	0.10	11%	9 May →
ancient	13–7	0.00	20%	9 May →
cache	13–5	0.05	21%	9 May →
ancient	8–13	-0.02	17%	9 May →
inferno	6–13	0.02	15%	4 May →
cache	4–13	-0.00	18%	4 May →
inferno	7–13	0.01	10%	26 Apr →
mirage	13–3	0.07	16%	26 Apr →
ancient	13–6	-0.03	24%	25 Apr →
anubis	13–11	-0.00	20%	24 Apr →
inferno	13–8	-0.01	7%	24 Apr →
nuke	10–13	0.05	14%	22 Apr →
ancient	13–10	0.06	17%	22 Apr →
dust2	2–7	0.06	4%	22 Apr →
ancient	11–13	-0.01	18%	22 Apr →
ancient	13–9	0.02	25%	21 Apr →
anubis	10–13	0.02	15%	15 Apr →
dust2	13–8	-0.03	16%	12 Apr →
inferno	10–13	-0.05	10%	12 Apr →
overpass	8–13	-0.01	32%	12 Apr →
overpass	2–13	0.01	18%	4 Apr →
inferno	6–13	0.03	18%	1 Apr →
inferno	13–4	0.08	28%	1 Apr →
ancient	9–13	-0.05	7%	1 Apr →
nuke	7–13	-0.07	7%	15 Mar →
inferno	7–13	-0.05	5%	9 Mar →
overpass	9–13	0.05	24%	9 Mar →
train	4–13	0.01	18%	4 Mar →
inferno	11–13	-0.07	14%	2 Mar →
dust2	13–10	-0.04	23%	2 Mar →
nuke	14–16	0.00	20%	7 Feb →
ancient	5–13	-0.01	11%	6 Feb →
dust2	13–16	0.07	24%	29 Jan →
nuke	13–9	0.04	39%	29 Jan →
inferno	13–7	0.06	20%	29 Jan →
ancient	13–11	-0.04	19%	29 Jan →
inferno	11–13	0.03	20%	28 Jan →
ancient	13–9	0.02	7%	28 Jan →
inferno	13–8	0.01	12%	28 Jan →
dust2	4–13	-0.05	14%	28 Jan →
dust2	13–4	0.13	21%	27 Jan →
ancient	13–6	0.05	15%	27 Jan →
ancient	4–13	-0.05	18%	25 Jan →
ancient	13–11	0.02	23%	25 Jan →
anubis	8–13	0.04	18%	25 Jan →
ancient	7–13	-0.02	19%	25 Jan →
dust2	13–8	0.06	24%	24 Jan →
anubis	5–13	-0.05	23%	23 Jan →
warden	13–9	-0.02	24%	23 Jan →
inferno	13–11	0.04	20%	22 Jan →
ancient	12–12	-0.01	15%	22 Jan →
mirage	13–3	0.16	17%	22 Jan →
anubis	7–13	0.01	12%	21 Jan →