MarVinO — CS2 Stats

PL76561198034436454[U:1:74170726]Steam profile ↗✓ No bans

563Tracked matches43%Win rate2021Tracked since

483Hours in CS

CSDB Rating4.8 DevelopingPassive Rifler

Premier CS Rating16,562Purple band · top ~22.2% of ranked players (population est.)

CSDB Leaderboard#9639 of 16083 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Pink band median	vs Pink band
Headshot rate	57.6%	48.1%	above
Shot accuracy	11.0%	12.9%	1.9% short
Kill/death ratio	0.97	1.08	0.11 short
Match win rate	41.5%	46.5%	5.0% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim68

Positioning26

Utility46

0–100 skill scores via Leetify.

Recent form

STEADY40–56–4Last 10040%Win rateWLLWLWWLWL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

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

Aim6.8

Aggression0.0

Utility4.6

Positioning2.6

Opening Duels0.0

Excellent counter-strafing

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 71% 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 42 points — deaths here waste a strong aim profile.

Reaction time. 641ms 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

Aim6.8

Positioning2.6

Utility4.6

Mechanics8.7

Opening Duels0.0

Win Impact2.8

Composite 4.8/10 (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-0.05−0.00

first ⅓ avg -0.04 → last ⅓ avg -0.05

Reaction time653ms+4ms

first ⅓ avg 649ms → last ⅓ avg 653ms

Headshot accuracy12.3%+1.7%

first ⅓ avg 10.6% → last ⅓ avg 12.3%

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

0.07Best rating — ancient 13–1

13–1Biggest win — ancient

6Longest win streak

4–8In matches decided by ≤2 rounds

16Overtime games

Map breakdown

infernoBest map · 50% over 20dust2Weakest map · 30% over 23

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	23	7–16	30%	-0.05
inferno	B	20	10–10	50%	-0.04
anubis	C	18	7–11	39%	-0.04
overpass	B	17	8–9	47%	-0.05
ancient	C	17	6–11	35%	-0.05
nuke	C	5	2–3	40%	-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (30% over 23). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,951Lifetime kills

0.97K/D

1,066Matches

41.5%Match win rate

57.6%Headshot % · Top 25% of tracked players

11.0%Shot accuracy

1,400MVPs

483Hours (in match)

1,034Bombs planted

181Bombs defused

Most-used weapons

AK-4711,997

M4A4 / M4A1-S4,818

AWP1,010

Galil AR907

FAMAS791

P2000 / USP-S775

Glock-18625

Desert Eagle535

P250245

Tec-9206

Lifetime map wins

2,640dust2

1,987inferno

787nuke

374vertigo

120train

76cbble

17italy

12stmarc

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.8%Headshot accuracy

34.5%Accuracy (enemy spotted)

36.1%Spray accuracy

89.0%Counter-strafing

8.4°Preaim

641msReaction time

17.6%T opening success

20.5%CT opening success

0.62Enemies flashed / flash

4.2%Flash assists

6.52HE damage / grenade

11.15Flashes / 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 12.838% — 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 17.606% — 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.

30% win rate across 23 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
overpass	13–8	-0.02	32%	2 Mar →
anubis	14–16	-0.04	28%	2 Mar →
inferno	13–16	-0.04	9%	2 Mar →
dust2	13–5	-0.10	6%	2 Mar →
anubis	8–13	-0.01	11%	28 Feb →
ancient	13–1	0.07	18%	28 Feb →
inferno	13–9	-0.03	11%	28 Feb →
dust2	9–13	-0.06	20%	28 Feb →
ancient	13–7	-0.07	11%	28 Feb →
anubis	8–13	0.00	15%	28 Feb →
dust2	14–16	-0.07	28%	27 Feb →
ancient	10–13	-0.11	6%	27 Feb →
dust2	10–13	0.00	25%	27 Feb →
overpass	16–13	0.03	9%	27 Feb →
inferno	10–13	-0.02	14%	25 Feb →
overpass	2–13	-0.14	9%	25 Feb →
overpass	7–13	-0.09	12%	25 Feb →
nuke	12–16	-0.07	4%	21 Feb →
dust2	13–6	-0.04	13%	21 Feb →
overpass	16–13	-0.01	7%	21 Feb →
inferno	13–10	-0.01	8%	21 Feb →
inferno	13–9	-0.03	12%	21 Feb →
anubis	16–13	-0.04	12%	20 Feb →
dust2	9–13	-0.07	12%	20 Feb →
inferno	10–13	-0.05	9%	20 Feb →
ancient	14–16	-0.05	8%	20 Feb →
ancient	11–13	-0.11	11%	18 Feb →
inferno	13–7	-0.04	3%	18 Feb →
dust2	13–9	-0.04	14%	18 Feb →
inferno	7–13	-0.07	7%	18 Feb →
overpass	14–16	-0.05	10%	16 Feb →
anubis	13–6	-0.11	6%	16 Feb →
overpass	0–13	-0.08	10%	16 Feb →
inferno	8–13	-0.06	4%	16 Feb →
overpass	15–15	-0.02	11%	15 Feb →
inferno	15–15	-0.06	15%	15 Feb →
dust2	6–13	-0.06	13%	15 Feb →
dust2	6–13	-0.06	9%	15 Feb →
overpass	7–13	-0.07	13%	14 Feb →
ancient	13–7	-0.06	11%	14 Feb →
dust2	13–8	-0.01	25%	14 Feb →
inferno	13–6	0.00	18%	14 Feb →
ancient	3–13	-0.04	11%	14 Feb →
dust2	5–13	-0.08	6%	8 Feb →
overpass	13–11	-0.04	17%	8 Feb →
dust2	13–3	0.01	35%	6 Feb →
anubis	10–13	-0.05	15%	6 Feb →
inferno	13–5	-0.06	9%	6 Feb →
anubis	11–13	-0.06	8%	6 Feb →
overpass	16–13	-0.08	12%	6 Feb →
ancient	13–3	0.04	6%	5 Feb →
dust2	13–9	-0.01	8%	5 Feb →
anubis	13–11	-0.09	4%	5 Feb →
inferno	13–11	-0.04	17%	5 Feb →
nuke	13–9	-0.06	8%	5 Feb →
ancient	6–13	-0.13	0%	5 Feb →
inferno	8–13	-0.09	13%	4 Feb →
dust2	15–15	-0.07	10%	4 Feb →
ancient	4–13	-0.09	7%	4 Feb →
anubis	13–4	0.00	6%	4 Feb →
overpass	13–7	-0.08	11%	4 Feb →
anubis	4–13	0.00	11%	4 Feb →
overpass	13–11	-0.03	13%	4 Feb →
inferno	6–13	-0.08	9%	4 Feb →
nuke	16–13	-0.04	13%	3 Feb →
anubis	6–13	-0.10	5%	3 Feb →
ancient	8–13	-0.02	15%	3 Feb →
inferno	8–13	-0.02	15%	3 Feb →
dust2	10–13	-0.01	24%	3 Feb →
inferno	13–9	-0.02	5%	2 Feb →
dust2	2–13	-0.02	4%	2 Feb →
nuke	8–13	-0.01	7%	2 Feb →
dust2	7–13	-0.09	6%	2 Feb →
inferno	9–13	-0.10	14%	2 Feb →
anubis	10–13	-0.10	8%	2 Feb →
anubis	13–2	0.05	16%	31 Jan →
inferno	13–10	0.01	15%	31 Jan →
dust2	4–13	-0.07	11%	31 Jan →
anubis	13–7	-0.03	24%	29 Jan →
ancient	5–13	-0.05	17%	29 Jan →
anubis	1–13	-0.07	19%	29 Jan →
dust2	13–8	-0.05	17%	28 Jan →
nuke	11–13	-0.07	10%	28 Jan →
anubis	8–13	-0.06	13%	28 Jan →
dust2	6–13	-0.04	7%	28 Jan →
ancient	13–9	-0.04	4%	28 Jan →
ancient	9–13	-0.05	2%	26 Jan →
overpass	10–13	-0.03	13%	26 Jan →
overpass	4–13	-0.07	5%	26 Jan →
dust2	4–13	-0.08	6%	24 Jan →
overpass	3–13	-0.11	4%	24 Jan →
ancient	13–7	-0.01	8%	24 Jan →
anubis	13–7	-0.02	12%	24 Jan →
ancient	8–13	-0.08	11%	24 Jan →
inferno	13–9	0.02	5%	24 Jan →
ancient	9–13	-0.03	2%	24 Jan →
dust2	4–13	-0.09	8%	23 Jan →
anubis	15–15	-0.05	13%	23 Jan →
dust2	14–16	-0.02	12%	23 Jan →
overpass	13–4	0.02	15%	23 Jan →