去你媽的 — CS2 Stats

76561198339953312[U:1:379687584]Steam profile ↗✓ No bans

1,050Tracked matches55%Win rate2021Tracked since

2,005Hours in CS31Hrs last 2 wks

CSDB Rating6.0 SolidAggressive Rifler

Premier CS Rating16,179Purple band · top ~23.7% of ranked players (population est.)

CSDB Leaderboard#28941 of 51508 tracked

FaceitLevel 6 · 1,259 ELOTop 54.0% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=1,571), 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 6 median	Level 7 median	vs Level 7
Headshot rate	41.8%	44.7%	46.1%	4.2% short
Shot accuracy	7.3%	11.9%	12.6%	5.3% short
Kill/death ratio	0.95	1.04	1.05	0.11 short
Match win rate	45.9%	45.2%	45.7%	meets

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim78

Positioning52

Utility41

0–100 skill scores via Leetify.

Recent form

STEADY46–49–5Last 10046%Win rateWLTWLLWWLW

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

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

Aim7.8

Aggression7.2

Utility4.1

Positioning5.2

Opening Duels2.4

Clutch4.4

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 ropz 88% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 52% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.8

Positioning5.2

Utility4.1

Mechanics7.0

Opening Duels2.7

Win Impact6.7

Composite 6.0/10 (Solid), 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 rating0.00−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time556ms−65ms

first ⅓ avg 621ms → last ⅓ avg 556ms

Headshot accuracy12.3%−2.5%

first ⅓ avg 14.8% → 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

0.18Best rating — anubis 13–1

13–0Biggest win — ancient

5Longest win streak

5–6In matches decided by ≤2 rounds

11Overtime games

Map breakdown

mirageBest map · 64% over 11nukeWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	20	12–8	60%	0.02
inferno	C	20	8–12	40%	0.01
dust2	B	15	7–8	47%	-0.01
anubis	D	13	4–9	31%	0.00
cache	B	12	6–6	50%	-0.00
mirage	A	11	7–4	64%	0.01
nuke	D	9	2–7	22%	-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

44,056Lifetime kills

0.95K/D

2,427Matches

45.9%Match win rate · Top 50% of Level 6 players

41.8%Headshot %

7.3%Shot accuracy

4,497MVPs

1,490Hours (in match)

2,057Bombs planted

610Bombs defused

Most-used weapons

AK-4711,059

M4A4 / M4A1-S8,192

AWP4,653

P2000 / USP-S2,841

Glock-182,481

Desert Eagle1,918

SG 5531,734

Galil AR1,722

AUG1,386

FAMAS1,283

Lifetime map wins

5,042inferno

2,906dust2

2,647nuke

634train

394vertigo

16office

3ar_shoots

2ar_baggage

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

Faceit stats

Combat

134Matches

52%Win rate

1.06Avg K/D

78.8ADR

38%Headshot %

Clutches & streaks

42%1v1 clutch win

23%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	30	43%	0.94	13.2
Inferno	24	58%	1.09	15.8
Anubis	20	65%	1.12	14.2
Ancient	17	71%	1.24	16.5
Dust2	16	44%	0.92	15.1
Nuke	11	36%	1.09	14.6
Overpass	9	56%	1.23	16.4
Cache	6	33%	1.04	17.3

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.

12.1%Headshot accuracy

40.4%Accuracy (enemy spotted)

39.6%Spray accuracy

81.3%Counter-strafing

9.0°Preaim

550msReaction time

28.0%T opening success

51.5%CT opening success

0.60Enemies flashed / flash

1.4%Flash assists

7.57HE damage / grenade

3.22Flashes / 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 12.1054% — 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 3.2214 — 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 27.9509% — below the 40% mark we flag

Spend your practice time on Nuke

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–11	-0.01	9%	28 Aug →
anubis	12–16	0.03	12%	28 Aug →
inferno	15–15	-0.05	18%	28 Aug →
ancient	13–9	0.08	13%	28 Aug →
mirage	15–19	-0.01	15%	28 Aug →
dust2	4–13	-0.03	21%	27 Aug →
dust2	16–12	0.00	4%	27 Aug →
dust2	13–6	0.08	17%	26 Aug →
anubis	2–13	-0.09	6%	25 Aug →
cache	13–11	0.01	9%	25 Aug →
inferno	11–13	0.00	17%	25 Aug →
ancient	6–13	-0.06	5%	24 Aug →
ancient	13–0	0.10	28%	24 Aug →
ancient	13–7	0.02	11%	24 Aug →
anubis	7–13	-0.04	13%	24 Aug →
mirage	2–13	-0.04	5%	24 Aug →
ancient	9–13	-0.02	7%	24 Aug →
dust2	13–6	0.04	15%	23 Aug →
mirage	13–8	-0.04	6%	23 Aug →
mirage	13–5	0.14	16%	23 Aug →
nuke	4–13	-0.05	6%	23 Aug →
ancient	13–10	0.03	13%	23 Aug →
ancient	13–5	0.08	19%	23 Aug →
inferno	5–13	0.04	11%	23 Aug →
cache	11–13	-0.07	7%	23 Aug →
dust2	13–11	-0.03	6%	23 Aug →
mirage	13–3	0.04	13%	23 Aug →
inferno	6–13	-0.02	21%	22 Aug →
ancient	13–5	0.04	9%	22 Aug →
nuke	16–12	0.03	16%	22 Aug →
cache	13–8	0.01	16%	22 Aug →
ancient	11–13	-0.04	14%	22 Aug →
mirage	13–10	-0.02	9%	22 Aug →
inferno	13–11	-0.04	6%	22 Aug →
ancient	13–9	0.04	19%	21 Aug →
mirage	13–7	0.04	15%	21 Aug →
cache	13–10	0.01	7%	21 Aug →
mirage	5–13	-0.02	41%	21 Aug →
nuke	13–6	0.03	14%	21 Aug →
dust2	12–16	-0.03	8%	8 Aug →
dust2	10–13	-0.02	22%	8 Aug →
nuke	8–13	-0.02	19%	8 Aug →
anubis	8–13	0.01	13%	5 Aug →
mirage	13–4	0.04	13%	5 Aug →
cache	15–15	0.02	13%	5 Aug →
inferno	13–9	-0.02	8%	5 Aug →
inferno	9–13	0.06	11%	1 Aug →
mirage	15–15	-0.01	20%	1 Aug →
nuke	4–13	-0.03	20%	1 Aug →
cache	11–13	-0.03	16%	26 Jul →
dust2	7–13	-0.05	13%	26 Jul →
anubis	4–13	-0.02	10%	26 Jul →
inferno	1–13	-0.05	13%	26 Jul →
inferno	6–13	-0.04	14%	23 Jul →
inferno	13–4	0.07	8%	23 Jul →
anubis	13–7	0.08	17%	23 Jul →
nuke	9–13	0.02	18%	23 Jul →
dust2	10–13	-0.03	18%	23 Jul →
dust2	10–13	-0.09	14%	23 Jul →
dust2	5–13	-0.07	22%	23 Jul →
anubis	4–13	-0.01	22%	23 Jul →
cache	9–13	-0.04	14%	23 Jul →
inferno	5–13	0.04	11%	22 Jul →
nuke	10–13	-0.06	26%	22 Jul →
ancient	11–13	-0.01	12%	22 Jul →
cache	13–9	0.07	8%	16 Jul →
inferno	15–15	0.01	19%	16 Jul →
anubis	13–1	0.18	18%	16 Jul →
inferno	4–13	-0.03	22%	16 Jul →
anubis	13–7	-0.05	8%	15 Jul →
ancient	3–13	-0.01	9%	13 Jul →
dust2	13–10	0.03	17%	13 Jul →
ancient	15–15	0.03	15%	13 Jul →
cache	6–13	-0.06	13%	13 Jul →
dust2	12–16	0.01	20%	13 Jul →
dust2	13–5	0.02	18%	12 Jul →
cache	13–3	0.07	23%	12 Jul →
inferno	13–10	0.03	10%	12 Jul →
ancient	13–10	0.04	13%	12 Jul →
cache	6–13	-0.01	15%	12 Jul →
anubis	6–13	0.01	10%	11 Jul →
inferno	13–8	0.02	14%	11 Jul →
cache	13–11	0.00	22%	11 Jul →
ancient	13–3	-0.00	11%	11 Jul →
ancient	13–6	0.13	17%	11 Jul →
dust2	13–8	0.00	11%	11 Jul →
nuke	7–13	0.02	23%	11 Jul →
anubis	6–13	-0.10	10%	11 Jul →
inferno	13–10	0.06	16%	11 Jul →
inferno	13–6	0.07	3%	11 Jul →
anubis	10–13	-0.01	21%	11 Jul →
mirage	13–9	0.01	14%	10 Jul →
ancient	13–5	0.05	26%	10 Jul →
inferno	7–13	0.00	16%	10 Jul →
ancient	2–13	-0.06	9%	10 Jul →
inferno	11–13	0.01	24%	10 Jul →
nuke	7–13	0.01	10%	1 Jul →
anubis	13–8	0.04	12%	1 Jul →
inferno	13–6	0.01	8%	1 Jul →
ancient	10–13	-0.00	10%	30 Jun →