S4imxn — CS2 Stats

FI76561199028186643[U:1:1067920915]Steam profile ↗✓ No bans

4,412Tracked matches55%Win rate2020Tracked since

3,652Hours in CS37Hrs last 2 wks

CSDB Rating7.4 StrongAggressive Rifler

Premier CS Rating25,937Top 25% of 17,162 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)

CSDB Leaderboard#2421 of 25675 tracked

FaceitLevel 10 · 2,569 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), 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 10 median
Headshot rate	54.7%	52.0%
Shot accuracy	6.1%	13.7%
Kill/death ratio	0.90	1.08
Match win rate	46.6%	48.8%

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Performance scores

Aim88

Positioning60

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY55–44–1Last 10055%Win rateLLWLWWLWTW

Last 10 vs previous 10: -20pp win rate · +0.04 avg rating

Player DNA

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

Aim8.8

Aggression8.6

Utility6.3

Positioning6.0

Opening Duels4.7

Clutch4.0

Sharp aimerStrong CT-side opener

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 donk 94% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 61% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 573ms 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

Aim8.8

Positioning6.0

Utility6.3

Mechanics7.4

Opening Duels4.7

Win Impact6.7

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time574ms−28ms

first ⅓ avg 603ms → last ⅓ avg 574ms

Headshot accuracy22.6%−0.4%

first ⅓ avg 23.1% → last ⅓ avg 22.6%

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

0.20Best rating — nuke 13–1

13–0Biggest win — ancient

6Longest win streak

L2Current streak

6–6In matches decided by ≤2 rounds

7Overtime games

Map breakdown

nukeBest map · 78% over 18anubisWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
nuke	S	18	14–4	78%	0.04
mirage	B	18	9–9	50%	0.02
dust2	C	17	7–10	41%	0.00
ancient	A	16	9–7	56%	0.01
cache	B	13	6–7	46%	0.03
inferno	S	9	6–3	67%	0.02
anubis	D	6	2–4	33%	-0.00
train	—	2	1–1	50%	0.04
vertigo	—	1	1–0	100%	-0.00

Across the last 100 tracked matches.

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

Lifetime stats

112,049Lifetime kills

0.90K/D

5,100Matches

46.6%Match win rate

54.7%Headshot % · Top 50% of Level 10 players

6.1%Shot accuracy

12,920MVPs

2,829Hours (in match)

7,943Bombs planted

1,753Bombs defused

Most-used weapons

AK-4741,408

M4A4 / M4A1-S18,459

Desert Eagle12,529

AWP10,893

P2000 / USP-S9,692

Glock-183,392

Knife2,584

MP92,406

Galil AR1,789

MAC-101,384

Lifetime map wins

8,398dust2

7,151inferno

5,801nuke

2,456vertigo

1,343train

29office

18lake

17italy

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

Faceit stats

Combat

2,851Matches

51%Win rate

1.13Avg K/D

82.6ADR

49%Headshot %

Clutches & streaks

40%1v1 clutch win

24%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	485	48%	1.16	16.5
Ancient	338	49%	1.19	16.5
Dust2	271	48%	1.16	16.8
Anubis	231	52%	1.12	15.5
Inferno	214	52%	1.20	16.4
Nuke	169	59%	1.21	17.7
Vertigo	77	61%	0.99	13.8
Overpass	61	51%	1.07	15.8

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.

22.8%Headshot accuracy

38.1%Accuracy (enemy spotted)

45.6%Spray accuracy

83.4%Counter-strafing

8.7°Preaim

573msReaction time

36.9%T opening success

60.9%CT opening success

0.52Enemies flashed / flash

8.4%Flash assists

9.04HE damage / grenade

13.10Flashes / 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 36.8502% — below the 40% mark we flag

Spend your practice time on Anubis

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.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	8–13	-0.01	18%	28 Aug →
ancient	11–13	0.03	29%	28 Aug →
nuke	13–2	0.03	13%	28 Aug →
cache	4–13	-0.02	22%	28 Aug →
mirage	13–7	0.11	16%	27 Aug →
inferno	13–3	0.13	25%	27 Aug →
ancient	10–13	-0.04	38%	27 Aug →
cache	13–10	0.16	25%	27 Aug →
anubis	15–15	0.07	18%	26 Aug →
mirage	13–9	-0.00	28%	23 Aug →
cache	13–1	-0.01	21%	23 Aug →
nuke	16–12	-0.01	12%	23 Aug →
vertigo	13–3	-0.00	18%	22 Aug →
dust2	20–22	-0.02	19%	21 Aug →
inferno	13–8	0.02	28%	21 Aug →
inferno	10–13	0.03	29%	20 Aug →
mirage	0–13	-0.14	11%	20 Aug →
ancient	13–4	0.14	24%	19 Aug →
train	13–9	0.02	25%	18 Aug →
cache	13–11	0.04	28%	18 Aug →
dust2	5–13	-0.01	37%	18 Aug →
nuke	13–2	0.03	18%	17 Aug →
cache	4–13	-0.03	25%	12 Aug →
mirage	13–3	-0.01	23%	12 Aug →
train	7–13	0.05	35%	11 Aug →
cache	5–13	0.01	24%	11 Aug →
ancient	9–13	0.02	20%	11 Aug →
anubis	13–8	-0.06	15%	9 Aug →
mirage	8–13	0.01	14%	9 Aug →
nuke	13–1	0.20	28%	9 Aug →
dust2	13–8	-0.04	16%	9 Aug →
ancient	13–1	0.03	29%	9 Aug →
ancient	13–4	-0.00	18%	8 Aug →
nuke	13–9	-0.05	21%	8 Aug →
nuke	13–11	0.08	28%	7 Aug →
anubis	5–13	-0.05	38%	7 Aug →
mirage	13–6	0.03	30%	7 Aug →
inferno	13–3	0.10	28%	7 Aug →
dust2	7–13	-0.07	36%	7 Aug →
cache	7–13	0.04	31%	6 Aug →
mirage	5–13	0.01	18%	6 Aug →
inferno	13–9	0.03	23%	6 Aug →
inferno	2–9	-0.17	38%	5 Aug →
mirage	3–13	-0.03	25%	5 Aug →
dust2	13–6	-0.03	19%	5 Aug →
inferno	4–4	-0.02	33%	4 Aug →
cache	13–3	0.00	35%	4 Aug →
anubis	13–6	-0.03	13%	4 Aug →
ancient	2–13	-0.04	29%	4 Aug →
nuke	10–13	0.06	25%	4 Aug →
anubis	8–13	0.05	27%	3 Aug →
ancient	13–7	0.05	30%	3 Aug →
nuke	16–13	0.07	18%	3 Aug →
nuke	13–7	0.02	23%	2 Aug →
dust2	13–11	0.06	19%	2 Aug →
nuke	13–1	0.07	28%	2 Aug →
mirage	13–10	0.12	28%	2 Aug →
dust2	7–13	0.01	9%	2 Aug →
nuke	13–10	0.05	6%	1 Aug →
ancient	12–5	-0.08	14%	1 Aug →
dust2	8–13	0.01	9%	1 Aug →
ancient	8–13	-0.00	21%	1 Aug →
mirage	11–13	-0.04	29%	1 Aug →
cache	12–16	-0.02	20%	1 Aug →
cache	16–12	0.13	16%	1 Aug →
dust2	13–9	0.01	17%	1 Aug →
dust2	13–4	0.11	21%	31 Jul →
ancient	11–13	0.06	14%	31 Jul →
cache	3–8	0.09	14%	31 Jul →
anubis	10–13	0.00	20%	30 Jul →
mirage	13–6	0.07	10%	30 Jul →
ancient	13–0	-0.01	19%	30 Jul →
inferno	5–13	-0.01	20%	30 Jul →
mirage	8–13	0.03	27%	30 Jul →
dust2	5–13	-0.08	24%	30 Jul →
mirage	6–13	-0.09	16%	29 Jul →
ancient	7–13	-0.03	32%	29 Jul →
cache	13–5	0.08	14%	29 Jul →
ancient	13–11	-0.06	14%	29 Jul →
dust2	9–13	0.02	29%	29 Jul →
nuke	8–13	0.04	26%	28 Jul →
mirage	8–13	-0.02	35%	28 Jul →
mirage	13–4	0.11	36%	27 Jul →
dust2	13–11	0.05	19%	27 Jul →
nuke	13–7	0.10	24%	27 Jul →
inferno	13–8	0.09	33%	21 Jul →
dust2	13–2	0.02	29%	21 Jul →
nuke	13–7	0.04	22%	21 Jul →
dust2	11–13	0.02	23%	19 Jul →
nuke	11–13	0.00	13%	19 Jul →
mirage	13–4	0.08	21%	19 Jul →
mirage	13–5	0.05	36%	16 Jul →
ancient	13–8	0.05	31%	16 Jul →
dust2	10–13	0.01	31%	16 Jul →
ancient	13–10	0.03	26%	15 Jul →
dust2	13–16	0.01	19%	15 Jul →
nuke	13–4	0.00	16%	15 Jul →
mirage	6–13	-0.01	21%	14 Jul →
nuke	13–4	0.05	17%	14 Jul →
nuke	5–13	0.00	30%	14 Jul →