☭ Karl ☭ Marx ☭ — CS2 Stats

76561197964940046[U:1:4674318]

872Tracked matches66%Win rate2020Tracked since

CSDB Rating5.6 Solid

Premier CS Rating23,127Top 50% of 819 CSDB-tracked playersPink band · top ~5.1% of ranked players (population est.)

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim51

Positioning50

Utility71

0–100 skill scores via Leetify.

Recent form

STEADY59–38–3Last 10059%Win rateLLWWLLWWLW

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

Aim5.1

Aggression5.5

Utility7.1

Positioning5.0

Opening Duels0.6

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 84% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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

Strengths

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 577ms 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

Aim5.1

Positioning5.0

Utility7.1

Mechanics5.2

Opening Duels1.1

Win Impact10.0

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time578ms−16ms

first ⅓ avg 595ms → last ⅓ avg 578ms

Headshot accuracy14.8%−0.2%

first ⅓ avg 15.1% → last ⅓ avg 14.8%

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

0.18Best rating — overpass 13–4

13–0Biggest win — inferno

7Longest win streak

L2Current streak

13–4In matches decided by ≤2 rounds

6Overtime games

Map breakdown

overpassBest map · 83% over 6dust2Weakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	S	20	13–7	65%	0.01
mirage	B	17	8–9	47%	-0.01
ancient	B	17	9–8	53%	0.00
anubis	S	17	11–6	65%	0.02
nuke	S	9	6–3	67%	0.02
overpass	S	6	5–1	83%	0.07
dust2	C	5	2–3	40%	-0.00
cache	A	5	3–2	60%	0.00
vertigo	—	2	1–1	50%	-0.04
office	—	1	1–0	100%	-0.03
train	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

35Matches

49%Win rate

0.96Avg K/D

—ADR

35%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

6Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	2	50%	1.30	12.5
Inferno	1	0%	0.57	8.0
Mirage	1	0%	1.36	19.0

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.

14.9%Headshot accuracy

29.0%Accuracy (enemy spotted)

33.3%Spray accuracy

73.5%Counter-strafing

9.4°Preaim

577msReaction time

26.4%T opening success

38.8%CT opening success

0.78Enemies flashed / flash

6.5%Flash assists

12.63HE damage / grenade

12.04Flashes / 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 14.9429% — 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 26.3622% — below the 40% mark we flag

Spend your practice time on Dust 2

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	6–13	0.03	13%	28 Aug →
ancient	4–13	0.01	8%	28 Aug →
anubis	13–11	0.02	16%	13 Aug →
nuke	13–10	0.03	12%	12 Aug →
ancient	6–13	-0.07	21%	12 Aug →
ancient	1–13	-0.05	33%	11 Aug →
anubis	13–11	-0.01	12%	6 Aug →
inferno	13–6	0.04	9%	6 Aug →
dust2	11–13	-0.00	13%	5 Aug →
vertigo	6–5	-0.05	18%	5 Aug →
office	13–10	-0.03	22%	5 Aug →
mirage	13–11	-0.07	18%	4 Aug →
cache	9–13	0.01	14%	4 Aug →
mirage	13–11	0.07	20%	4 Aug →
anubis	13–11	-0.01	8%	3 Aug →
anubis	13–6	0.14	14%	3 Aug →
mirage	13–8	0.10	14%	3 Aug →
mirage	9–13	-0.11	10%	28 Jul →
mirage	16–14	-0.05	23%	22 Jul →
inferno	13–5	-0.05	3%	22 Jul →
cache	13–11	0.02	11%	22 Jul →
ancient	13–5	-0.02	19%	22 Jul →
ancient	13–2	0.03	21%	22 Jul →
mirage	13–10	0.01	24%	21 Jul →
ancient	13–10	0.11	10%	21 Jul →
inferno	15–15	-0.00	15%	20 Jul →
inferno	5–13	-0.01	9%	20 Jul →
ancient	2–13	0.01	15%	16 Jul →
mirage	13–8	-0.05	25%	16 Jul →
anubis	9–13	-0.03	4%	16 Jul →
anubis	13–2	0.03	12%	16 Jul →
nuke	7–13	-0.08	14%	15 Jul →
inferno	13–9	0.04	12%	15 Jul →
mirage	13–2	0.01	24%	15 Jul →
anubis	13–3	0.13	22%	14 Jul →
inferno	11–13	0.01	17%	13 Jul →
cache	6–13	-0.00	26%	12 Jul →
inferno	13–4	0.06	22%	12 Jul →
ancient	13–11	-0.02	10%	11 Jul →
nuke	13–11	0.07	13%	9 Jul →
ancient	4–13	-0.03	16%	9 Jul →
anubis	5–13	0.03	14%	9 Jul →
train	12–12	-0.01	7%	8 Jul →
nuke	6–13	-0.01	26%	8 Jul →
vertigo	10–13	-0.03	28%	7 Jul →
mirage	13–7	0.03	16%	7 Jul →
ancient	10–13	-0.01	15%	6 Jul →
mirage	4–13	-0.06	13%	6 Jul →
dust2	8–13	-0.05	8%	5 Jul →
inferno	13–9	0.02	4%	2 Jul →
inferno	16–13	0.01	15%	2 Jul →
overpass	13–4	0.18	21%	1 Jul →
inferno	13–6	0.02	11%	1 Jul →
inferno	6–13	-0.05	18%	30 Jun →
nuke	10–13	-0.02	28%	30 Jun →
anubis	13–8	-0.02	21%	30 Jun →
inferno	13–8	-0.02	13%	29 Jun →
anubis	13–7	0.05	21%	29 Jun →
inferno	13–12	0.00	16%	25 Jun →
cache	13–8	-0.00	11%	25 Jun →
mirage	7–13	0.03	18%	25 Jun →
ancient	6–13	-0.01	12%	25 Jun →
ancient	13–9	0.00	11%	24 Jun →
anubis	11–13	-0.06	19%	24 Jun →
anubis	10–13	0.04	20%	24 Jun →
nuke	13–5	0.03	14%	23 Jun →
inferno	11–13	-0.00	13%	23 Jun →
anubis	13–5	0.08	23%	22 Jun →
nuke	13–7	-0.01	10%	17 Jun →
inferno	13–0	0.12	10%	17 Jun →
ancient	16–13	0.02	13%	17 Jun →
mirage	8–13	-0.06	13%	17 Jun →
inferno	13–6	-0.06	24%	16 Jun →
inferno	13–8	0.11	11%	16 Jun →
overpass	13–7	0.07	15%	16 Jun →
dust2	9–13	0.05	6%	11 Jun →
overpass	15–15	-0.02	13%	11 Jun →
ancient	8–13	-0.03	10%	10 Jun →
overpass	16–13	0.11	17%	10 Jun →
inferno	8–13	-0.03	13%	10 Jun →
ancient	13–11	0.04	17%	9 Jun →
anubis	13–4	0.01	15%	9 Jun →
nuke	13–4	0.12	17%	9 Jun →
anubis	9–13	-0.08	6%	8 Jun →
anubis	9–13	0.00	15%	8 Jun →
mirage	10–13	-0.03	16%	8 Jun →
dust2	13–7	-0.03	8%	8 Jun →
mirage	7–13	-0.07	7%	4 Jun →
overpass	13–4	0.03	26%	4 Jun →
ancient	13–5	0.03	14%	4 Jun →
nuke	13–9	0.03	22%	3 Jun →
overpass	13–10	0.04	20%	3 Jun →
mirage	7–13	0.10	20%	2 Jun →
dust2	13–10	0.02	21%	2 Jun →
ancient	13–11	0.04	16%	2 Jun →
anubis	13–5	-0.02	20%	2 Jun →
inferno	13–10	-0.03	10%	28 May →
cache	13–5	-0.01	29%	28 May →
mirage	8–13	0.02	9%	27 May →
inferno	6–13	0.01	15%	27 May →