Simo444r — CS2 Stats

AU76561198068855120[U:1:108589392]Steam profile ↗✓ No bans

722Tracked matches41%Win rate2020Tracked since

4,393Hours in CS17Hrs last 2 wks

CSDB Rating4.9 DevelopingHybrid Rifler

Premier CS Rating18,993Purple band · top ~12.5% of ranked players (population est.)

CSDB Leaderboard#17760 of 39376 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=5,002), 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	Purple band median	Pink band median	vs Pink band
Headshot rate	39.1%	44.2%	47.1%	8.0% short
Shot accuracy	19.7%	11.6%	12.8%	above
Kill/death ratio	1.28	1.03	1.08	above
Match win rate	47.2%	45.2%	46.6%	meets

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. 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

Aim66

Positioning50

Utility43

0–100 skill scores via Leetify.

Recent form

COLD38–53–9Last 10038%Win rateWLLLWTLLLL

Last 10 vs previous 10: -20pp win rate · +0.00 avg rating

Player DNA

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

Aim6.6

Aggression6.6

Utility4.3

Positioning5.0

Opening Duels2.3

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 Twistzz 86% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower aim profile; lower 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

Areas to improve

Reaction time. 552ms 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

Aim6.6

Positioning5.0

Utility4.3

Mechanics5.5

Opening Duels2.3

Win Impact1.9

Composite 4.9/10 (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 rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time562ms−41ms

first ⅓ avg 603ms → last ⅓ avg 562ms

Headshot accuracy14.5%−5.3%

first ⅓ avg 19.8% → last ⅓ avg 14.5%

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

0.14Best rating — cache 10–13

13–5Biggest win — inferno

4Longest win streak

7–11In matches decided by ≤2 rounds

12Overtime games

Map breakdown

nukeBest map · 71% over 7ancientWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	27	10–17	37%	0.02
dust2	D	22	6–16	27%	0.01
inferno	D	14	4–10	29%	-0.00
mirage	S	9	6–3	67%	0.02
nuke	S	7	5–2	71%	0.03
anubis	B	6	3–3	50%	0.00
ancient	D	5	1–4	20%	0.01
vertigo	—	3	1–2	33%	0.02
overpass	—	3	1–2	33%	0.05
train	—	2	1–1	50%	0.06
italy	—	1	0–1	0%	-0.02
office	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

141,195Lifetime kills

1.28K/D · Top 25% of Purple band

6,024Matches

47.2%Match win rate · Top 50% of Purple band

39.1%Headshot %

19.7%Shot accuracy · Top 5% of Purple band

19,340MVPs

2,328Hours (in match)

3,980Bombs planted

1,736Bombs defused

Most-used weapons

AK-4740,218

AWP23,894

M4A4 / M4A1-S20,303

P2000 / USP-S7,366

Desert Eagle7,176

Glock-184,196

P2503,412

SG 5533,242

Tec-93,050

SSG 082,699

Lifetime map wins

10,317inferno

9,399dust2

4,444nuke

2,429train

1,861cbble

715vertigo

105lake

75office

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

Faceit stats

Combat

50Matches

46%Win rate

1.14Avg K/D

—ADR

33%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

3Longest win streak

Recent Faceit resultsLLLLW

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.

14.3%Headshot accuracy

36.8%Accuracy (enemy spotted)

37.9%Spray accuracy

74.7%Counter-strafing

10.7°Preaim

552msReaction time

40.4%T opening success

37.9%CT opening success

0.52Enemies flashed / flash

5.2%Flash assists

12.38HE damage / grenade

6.40Flashes / 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 14.2512% — below the 15% mark we flag
Aim Training →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 37.8884% — 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.

20% win rate across 5 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
nuke	13–9	-0.02	18%	29 Aug →
inferno	9–13	0.03	6%	29 Aug →
dust2	11–13	-0.01	20%	28 Aug →
nuke	10–13	0.02	10%	28 Aug →
anubis	13–10	-0.05	9%	28 Aug →
inferno	15–15	-0.01	17%	28 Aug →
ancient	7–13	-0.06	9%	28 Aug →
cache	11–13	0.01	20%	28 Aug →
inferno	3–13	-0.03	17%	27 Aug →
cache	6–13	0.08	14%	27 Aug →
mirage	16–12	-0.04	8%	25 Aug →
inferno	13–6	0.00	11%	25 Aug →
dust2	7–13	-0.01	9%	24 Aug →
mirage	10–13	-0.00	20%	20 Aug →
dust2	12–12	0.00	15%	20 Aug →
dust2	4–13	-0.04	11%	19 Aug →
cache	4–13	0.04	15%	19 Aug →
cache	13–7	0.01	17%	18 Aug →
mirage	13–9	-0.07	12%	18 Aug →
cache	7–13	0.06	17%	17 Aug →
nuke	13–9	0.10	19%	17 Aug →
anubis	15–15	0.08	13%	15 Aug →
dust2	5–13	0.00	15%	15 Aug →
ancient	13–10	0.06	6%	15 Aug →
mirage	10–13	0.02	16%	15 Aug →
dust2	13–10	0.04	14%	12 Aug →
dust2	10–13	-0.06	16%	12 Aug →
cache	3–13	0.02	14%	11 Aug →
nuke	16–13	0.07	22%	11 Aug →
dust2	16–14	-0.01	15%	8 Aug →
cache	13–10	0.07	18%	5 Aug →
dust2	10–13	0.05	14%	5 Aug →
dust2	5–13	0.04	20%	5 Aug →
dust2	5–13	0.05	22%	3 Aug →
cache	15–15	0.01	12%	3 Aug →
ancient	5–13	0.05	14%	29 Jul →
mirage	13–7	0.04	17%	29 Jul →
inferno	13–10	0.05	11%	27 Jul →
dust2	14–16	0.01	11%	27 Jul →
cache	10–13	-0.01	17%	22 Jul →
dust2	16–14	0.03	19%	22 Jul →
mirage	16–13	0.07	19%	19 Jul →
dust2	13–6	0.11	25%	19 Jul →
anubis	8–13	-0.06	6%	18 Jul →
nuke	13–11	0.00	23%	18 Jul →
cache	7–13	0.03	23%	18 Jul →
dust2	9–13	0.02	7%	17 Jul →
cache	13–8	0.04	9%	17 Jul →
cache	13–6	0.01	21%	10 Jul →
anubis	13–11	-0.01	9%	7 Jul →
cache	13–9	0.05	12%	7 Jul →
inferno	14–16	-0.01	9%	6 Jul →
dust2	14–16	0.05	8%	6 Jul →
dust2	13–8	0.02	21%	5 Jul →
vertigo	12–12	0.02	11%	5 Jul →
italy	4–13	-0.02	20%	5 Jul →
inferno	6–13	0.01	14%	3 Jul →
cache	9–13	-0.01	17%	2 Jul →
train	12–12	0.04	14%	30 Jun →
cache	12–12	-0.04	26%	30 Jun →
overpass	8–13	0.04	14%	28 Jun →
cache	13–9	0.02	18%	28 Jun →
nuke	11–13	0.02	13%	23 Jun →
inferno	13–5	-0.05	10%	21 Jun →
anubis	13–8	0.07	9%	20 Jun →
inferno	11–13	0.02	11%	20 Jun →
inferno	13–5	-0.04	15%	20 Jun →
dust2	6–13	0.03	10%	18 Jun →
inferno	8–13	-0.02	13%	18 Jun →
cache	7–13	0.09	27%	18 Jun →
inferno	9–13	-0.01	12%	13 Jun →
mirage	13–7	-0.01	15%	13 Jun →
ancient	3–13	-0.05	33%	12 Jun →
dust2	5–13	-0.04	13%	12 Jun →
dust2	12–12	0.01	23%	9 Jun →
train	13–9	0.07	19%	9 Jun →
office	11–13	0.02	37%	5 Jun →
anubis	2–13	-0.03	30%	5 Jun →
vertigo	9–13	0.02	27%	4 Jun →
vertigo	13–6	0.02	18%	3 Jun →
nuke	13–6	0.04	14%	1 Jun →
cache	10–13	0.14	17%	1 Jun →
overpass	10–13	0.04	16%	30 May →
dust2	7–13	-0.07	21%	29 May →
ancient	11–13	0.03	11%	29 May →
dust2	13–11	0.02	16%	23 May →
inferno	10–13	0.07	22%	23 May →
cache	7–13	-0.06	15%	23 May →
cache	13–6	-0.02	16%	17 May →
cache	13–6	-0.01	35%	12 May →
cache	11–13	-0.02	24%	12 May →
cache	5–13	-0.07	33%	12 May →
cache	13–5	0.03	12%	9 May →
mirage	16–14	0.01	25%	9 May →
cache	11–13	0.01	17%	9 May →
mirage	8–13	0.12	12%	4 May →
cache	13–11	0.08	23%	30 Apr →
cache	12–12	-0.01	16%	30 Apr →
overpass	13–10	0.08	20%	28 Apr →
inferno	2–13	-0.07	11%	28 Apr →