Masturbinho — CS2 Stats

US76561199011254244[U:1:1050988516]Steam profile ↗✓ No bans

2,015Tracked matches50%Win rate2020Tracked since

1,739Hours in CS10Hrs last 2 wks

CSDB Rating5.7 SolidHybrid Rifler

Premier CS Rating20,440Top 50% of 29,473 CSDB-tracked playersPink band · top ~8% of ranked players (population est.)

CSDB Leaderboard#18712 of 52111 tracked

FaceitLevel 5 · 1,127 ELOTop 67.6% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=1,660), 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	Level 5 median	Level 6 median	vs Level 6
Headshot rate	48.3%	44.0%	44.7%	above
Shot accuracy	5.8%	11.6%	11.9%	6.1% short
Kill/death ratio	1.09	1.03	1.04	above
Match win rate	48.2%	45.1%	45.2%	above

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim69

Positioning54

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateLWLLWLWWLW

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

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

Aim6.9

Aggression5.1

Utility6.4

Positioning5.4

Opening Duels0.7

Clutch4.0

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 88% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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 →

CSDB Rating breakdown

Aim6.9

Positioning5.4

Utility6.4

Mechanics6.0

Opening Duels0.7

Win Impact5.0

Composite 5.7/10 (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 rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time533ms−51ms

first ⅓ avg 584ms → last ⅓ avg 533ms

Headshot accuracy16.3%−1.9%

first ⅓ avg 18.1% → last ⅓ avg 16.3%

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

0.13Best rating — cache 13–5

13–2Biggest win — inferno

9Longest win streak

11–10In matches decided by ≤2 rounds

10Overtime games

Map breakdown

cacheBest map · 64% over 14ancientWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	22	10–12	45%	0.01
inferno	B	20	10–10	50%	0.01
nuke	A	16	9–7	56%	0.02
mirage	A	16	9–7	56%	0.01
cache	A	14	9–5	64%	0.03
ancient	D	6	2–4	33%	-0.01
anubis	—	4	2–2	50%	0.03
office	—	2	0–2	0%	-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

46,582Lifetime kills

1.09K/D · Top 50% of Level 5 players

2,705Matches

48.2%Match win rate · Top 25% of Level 5 players

48.3%Headshot % · Top 50% of Level 5 players

5.8%Shot accuracy

7,257MVPs

1,169Hours (in match)

2,359Bombs planted

1,019Bombs defused

Most-used weapons

AK-4717,968

M4A4 / M4A1-S9,231

AWP3,008

P2000 / USP-S2,416

Glock-182,250

Desert Eagle2,178

Galil AR1,227

FAMAS865

MAC-10814

MP9786

Lifetime map wins

5,537dust2

3,803inferno

2,095vertigo

2,087nuke

657train

246office

61cbble

26lake

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

Faceit stats

Combat

43Matches

53%Win rate

1.34Avg K/D

95.6ADR

50%Headshot %

Clutches & streaks

40%1v1 clutch win

38%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	11	64%	1.57	14.6
Inferno	7	86%	1.89	18.6
Ancient	6	50%	1.24	18.3
Vertigo	5	60%	1.17	17.4
Dust2	4	25%	1.37	20.3
Nuke	3	33%	0.71	13.3
Anubis	1	100%	2.25	18.0
Train	1	100%	1.82	20.0

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.

16.3%Headshot accuracy

33.9%Accuracy (enemy spotted)

41.1%Spray accuracy

76.8%Counter-strafing

10.7°Preaim

534msReaction time

35.6%T opening success

30.1%CT opening success

0.55Enemies flashed / flash

6.3%Flash assists

15.62HE damage / grenade

11.72Flashes / 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.

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 35.6191% — 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.

33% win rate across 6 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
office	9–13	-0.10	10%	30 Aug →
inferno	13–9	-0.02	10%	30 Aug →
ancient	7–13	-0.03	12%	26 Aug →
nuke	9–13	-0.00	18%	24 Aug →
inferno	13–4	0.05	18%	24 Aug →
anubis	11–13	0.03	21%	23 Aug →
mirage	16–14	0.02	24%	23 Aug →
dust2	13–4	0.04	15%	23 Aug →
mirage	11–13	0.01	15%	19 Aug →
nuke	13–11	0.04	12%	18 Aug →
dust2	11–13	-0.04	11%	18 Aug →
office	11–13	-0.02	21%	17 Aug →
inferno	12–16	-0.02	20%	17 Aug →
mirage	13–7	0.02	26%	16 Aug →
dust2	11–13	0.04	15%	16 Aug →
inferno	8–13	-0.04	10%	15 Aug →
inferno	13–5	0.12	10%	15 Aug →
nuke	13–4	0.06	20%	15 Aug →
cache	13–11	0.04	19%	15 Aug →
nuke	8–13	-0.10	13%	14 Aug →
inferno	9–13	-0.06	10%	14 Aug →
mirage	10–13	-0.01	18%	13 Aug →
mirage	13–8	0.04	20%	13 Aug →
inferno	9–7	0.07	10%	13 Aug →
inferno	9–13	0.02	16%	12 Aug →
dust2	1–13	-0.07	8%	12 Aug →
dust2	13–5	-0.00	14%	11 Aug →
dust2	13–11	0.03	14%	9 Aug →
inferno	13–7	0.09	23%	9 Aug →
nuke	13–8	0.04	19%	9 Aug →
dust2	10–1	0.12	24%	9 Aug →
mirage	13–6	0.04	26%	9 Aug →
inferno	13–8	-0.05	14%	9 Aug →
cache	13–8	0.04	17%	9 Aug →
cache	13–5	0.03	11%	8 Aug →
cache	5–13	-0.00	17%	6 Aug →
nuke	13–4	0.02	26%	6 Aug →
nuke	6–13	0.00	18%	3 Aug →
ancient	13–11	0.07	15%	2 Aug →
ancient	13–4	0.07	20%	2 Aug →
dust2	8–13	-0.02	11%	1 Aug →
inferno	11–13	-0.02	14%	1 Aug →
mirage	10–13	0.09	18%	1 Aug →
nuke	11–13	0.04	10%	30 Jul →
ancient	11–13	0.02	11%	30 Jul →
dust2	13–10	0.07	17%	28 Jul →
cache	13–16	0.04	18%	26 Jul →
dust2	10–13	-0.03	15%	26 Jul →
inferno	13–2	0.11	21%	26 Jul →
nuke	13–5	0.04	24%	25 Jul →
nuke	13–6	-0.01	13%	25 Jul →
cache	13–8	-0.02	26%	25 Jul →
anubis	13–4	0.09	15%	25 Jul →
mirage	13–11	0.02	17%	25 Jul →
inferno	6–13	-0.01	17%	25 Jul →
dust2	4–13	0.04	17%	25 Jul →
nuke	13–10	0.04	23%	25 Jul →
anubis	7–13	-0.06	26%	25 Jul →
cache	13–5	0.13	32%	23 Jul →
cache	1–13	-0.01	12%	23 Jul →
dust2	11–13	-0.00	18%	22 Jul →
nuke	13–11	0.04	19%	21 Jul →
inferno	12–16	0.03	7%	21 Jul →
dust2	6–13	0.01	10%	21 Jul →
mirage	3–13	-0.02	28%	19 Jul →
dust2	6–13	0.06	22%	19 Jul →
mirage	16–12	0.00	20%	18 Jul →
nuke	10–13	0.05	19%	17 Jul →
dust2	16–14	-0.07	13%	16 Jul →
inferno	13–9	-0.04	21%	16 Jul →
nuke	13–9	-0.01	24%	16 Jul →
inferno	13–4	0.04	16%	15 Jul →
ancient	2–13	-0.10	17%	15 Jul →
cache	13–5	0.05	18%	14 Jul →
ancient	7–13	-0.08	2%	14 Jul →
nuke	15–15	0.06	28%	14 Jul →
mirage	9–13	0.00	10%	13 Jul →
inferno	10–13	0.02	25%	13 Jul →
mirage	13–8	0.00	17%	12 Jul →
inferno	15–15	-0.02	12%	12 Jul →
cache	13–4	0.10	20%	12 Jul →
mirage	10–13	-0.01	16%	12 Jul →
anubis	13–10	0.04	18%	11 Jul →
dust2	13–8	0.01	20%	11 Jul →
cache	13–10	0.04	18%	11 Jul →
dust2	15–15	0.05	18%	11 Jul →
cache	2–13	0.01	11%	9 Jul →
mirage	13–9	0.02	18%	9 Jul →
dust2	9–13	-0.04	11%	9 Jul →
nuke	8–13	0.00	19%	9 Jul →
cache	11–13	-0.03	33%	8 Jul →
cache	13–10	0.03	16%	7 Jul →
inferno	13–7	-0.01	11%	6 Jul →
inferno	8–13	-0.01	27%	6 Jul →
dust2	10–13	0.05	14%	5 Jul →
dust2	16–14	0.06	19%	5 Jul →
mirage	3–13	-0.04	27%	5 Jul →
dust2	13–9	-0.02	23%	5 Jul →
mirage	13–11	0.02	15%	4 Jul →
dust2	13–10	0.02	20%	4 Jul →