PerroWeon — CS2 Stats

76561199167466711[U:1:1207200983]

282Tracked matches46%Win rate2024Tracked since

221Hours in CS

CSDB Rating4.8 Developing

Ladder ranks via Leetify

Performance scores

Aim42

Positioning58

Utility54

0–100 skill scores via Leetify.

Recent form

COLD40–46–14Last 10040%Win rateWLLLWLLTTW

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

Player DNA

Aim4.2

Aggression7.2

Utility5.4

Positioning5.8

Opening Duels2.6

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 b1t 84% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower aim profile.

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. 668ms 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

Aim4.2

Positioning5.8

Utility5.4

Mechanics6.2

Opening Duels2.6

Win Impact3.7

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 rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time685ms+26ms

first ⅓ avg 659ms → last ⅓ avg 685ms

Headshot accuracy15.4%+1.0%

first ⅓ avg 14.4% → last ⅓ avg 15.4%

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 — dust2 13–5

13–0Biggest win — vertigo

4Longest win streak

3–8In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 55% over 11trainWeakest map · 20% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	30	11–19	37%	0.01
train	D	15	3–12	20%	-0.01
vertigo	B	13	7–6	54%	0.01
overpass	C	13	5–8	38%	-0.02
cache	A	11	6–5	55%	0.02
anubis	B	8	4–4	50%	0.01
ancient	D	5	1–4	20%	-0.02
office	—	4	2–2	50%	0.04
mirage	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Lifetime stats

16,393Lifetime kills

1.01K/D

871Matches

27.9%Match win rate

41.4%Headshot %

0.0%Shot accuracy

1,195MVPs

221Hours (in match)

328Bombs planted

87Bombs defused

Most-used weapons

AK-475,315

M4A4 / M4A1-S2,059

Desert Eagle1,422

MAC-10859

FAMAS731

AWP649

Galil AR584

MAG-7396

Tec-9367

Five-SeveN340

Lifetime map wins

1,378dust2

277vertigo

260office

228nuke

195train

150italy

108inferno

13ar_baggage

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.

14.8%Headshot accuracy

29.9%Accuracy (enemy spotted)

33.7%Spray accuracy

77.8%Counter-strafing

11.2°Preaim

668msReaction time

33.9%T opening success

47.1%CT opening success

0.50Enemies flashed / flash

5.4%Flash assists

7.39HE damage / grenade

7.54Flashes / 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 14.7614% — 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 33.8765% — below the 40% mark we flag

Spend your practice time on Train

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 15 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
train	13–9	0.02	17%	15 Aug →
train	7–13	-0.06	13%	12 Aug →
train	5–13	-0.06	10%	12 Aug →
cache	1–7	0.00	33%	7 Aug →
vertigo	13–0	0.04	20%	30 Jul →
vertigo	10–13	0.01	8%	30 Jul →
dust2	5–13	-0.02	39%	29 Jul →
vertigo	12–12	-0.05	8%	25 Jul →
dust2	12–12	-0.04	11%	25 Jul →
anubis	13–10	-0.04	13%	22 Jul →
anubis	13–10	0.00	15%	22 Jul →
dust2	11–13	-0.06	14%	18 Jul →
dust2	4–13	-0.07	16%	4 Jul →
cache	12–12	0.01	23%	1 Jul →
cache	11–13	-0.01	25%	25 Jun →
ancient	12–12	0.01	10%	20 Jun →
train	13–7	0.08	10%	17 Jun →
train	11–13	0.05	6%	17 Jun →
cache	13–8	-0.03	12%	11 Jun →
cache	13–7	0.02	12%	11 Jun →
dust2	2–6	-0.02	8%	10 Jun →
vertigo	13–11	-0.00	20%	4 Jun →
vertigo	13–5	0.11	14%	4 Jun →
cache	13–5	0.09	21%	4 Jun →
dust2	13–5	0.14	18%	20 May →
dust2	11–13	0.00	15%	14 May →
dust2	8–13	0.01	9%	14 May →
cache	13–2	0.02	4%	9 May →
dust2	10–13	0.09	17%	9 May →
cache	7–13	0.06	13%	6 May →
cache	7–13	0.01	21%	6 May →
cache	13–1	0.04	14%	30 Apr →
cache	13–8	-0.00	20%	29 Apr →
train	12–12	-0.03	21%	25 Apr →
train	4–13	-0.09	14%	25 Apr →
train	11–13	0.06	11%	22 Apr →
dust2	13–6	0.03	14%	16 Apr →
vertigo	13–9	0.04	13%	9 Apr →
vertigo	9–13	-0.05	22%	8 Apr →
overpass	13–2	-0.02	13%	3 Apr →
anubis	11–13	0.02	15%	3 Apr →
dust2	11–13	0.01	9%	2 Apr →
anubis	6–13	0.06	16%	1 Apr →
overpass	4–13	-0.01	6%	26 Mar →
dust2	4–13	-0.01	14%	26 Mar →
dust2	6–13	0.06	18%	18 Mar →
dust2	3–13	0.02	11%	4 Mar →
ancient	4–13	-0.06	11%	4 Mar →
train	9–13	-0.02	10%	26 Feb →
train	11–13	-0.05	13%	25 Feb →
dust2	11–6	-0.04	7%	20 Feb →
ancient	10–13	0.02	17%	18 Feb →
vertigo	7–13	-0.03	6%	18 Feb →
dust2	3–13	-0.07	22%	18 Feb →
vertigo	13–5	0.08	9%	11 Feb →
vertigo	13–9	0.07	13%	11 Feb →
anubis	8–13	0.00	19%	4 Feb →
anubis	12–12	-0.04	5%	4 Feb →
dust2	13–10	0.03	19%	28 Jan →
dust2	8–13	0.04	17%	28 Jan →
ancient	1–13	-0.10	7%	28 Jan →
overpass	1–13	-0.12	7%	28 Jan →
office	12–12	0.09	4%	21 Jan →
overpass	13–0	0.04	3%	14 Jan →
overpass	5–13	-0.01	13%	14 Jan →
overpass	10–13	-0.03	13%	14 Jan →
ancient	13–6	0.05	19%	7 Jan →
dust2	12–12	0.08	12%	7 Jan →
train	12–12	0.04	16%	31 Dec →
dust2	12–12	-0.02	10%	31 Dec →
train	7–13	-0.10	28%	31 Dec →
dust2	13–2	0.05	17%	24 Dec →
dust2	13–3	0.05	8%	24 Dec →
vertigo	13–11	0.01	12%	17 Dec →
vertigo	10–13	-0.06	4%	17 Dec →
dust2	13–5	0.05	6%	3 Dec →
overpass	6–13	-0.08	13%	26 Nov →
office	6–13	0.02	8%	26 Nov →
office	13–7	0.02	14%	26 Nov →
overpass	12–12	0.06	1%	19 Nov →
overpass	13–5	-0.04	20%	19 Nov →
train	13–6	0.06	17%	5 Nov →
overpass	8–13	-0.07	14%	1 Nov →
dust2	10–13	-0.03	16%	29 Oct →
dust2	12–12	-0.06	13%	24 Oct →
dust2	13–11	0.04	15%	18 Oct →
anubis	13–8	0.04	11%	15 Oct →
anubis	13–9	0.03	13%	15 Oct →
dust2	13–9	0.00	21%	8 Oct →
dust2	7–13	0.01	29%	8 Oct →
office	13–7	0.01	33%	1 Oct →
dust2	13–5	0.01	15%	1 Oct →
overpass	12–12	-0.01	12%	25 Sept →
overpass	13–9	0.04	22%	24 Sept →
vertigo	12–12	-0.04	6%	20 Sept →
mirage	13–5	-0.01	15%	17 Sept →
overpass	13–5	-0.01	8%	17 Sept →
dust2	13–9	0.01	16%	10 Sept →
train	3–13	-0.05	18%	10 Sept →
train	9–13	0.07	12%	10 Sept →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

100 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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