（ˉ_ˉ） — CS2 Stats

76561198039583095[U:1:79317367]Steam profile ↗✓ No bans

445Tracked matches50%Win rate2024Tracked since

3,651Hours in CS15Hrs last 2 wks

CSDB Rating6.5 SolidEntry Fragger

Ladder ranks via Leetify

Performance scores

Aim84

Positioning65

Utility22

0–100 skill scores via Leetify.

Recent form

STEADY59–33–8Last 10059%Win rateWWTWWLLLLW

Last 10 vs previous 10: +10pp win rate · -0.03 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim8.4

Aggression10.0

Utility2.2

Positioning6.5

Opening Duels6.3

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 sh1ro 86% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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

Strengths

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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 63% on CT to 48% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 601ms 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

Aim8.4

Positioning6.5

Utility2.2

Mechanics7.9

Opening Duels6.3

Win Impact5.0

Composite 6.5/10 (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 rating0.04−0.00

first ⅓ avg 0.04 → last ⅓ avg 0.04

Reaction time611ms−47ms

first ⅓ avg 658ms → last ⅓ avg 611ms

Headshot accuracy26.1%−1.1%

first ⅓ avg 27.2% → last ⅓ avg 26.1%

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

0.19Best rating — inferno 13–5

13–1Biggest win — train

5Longest win streak

W2Current streak

9–2In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 74% over 19dust2Weakest map · 39% over 23

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	23	9–14	39%	0.02
mirage	S	19	14–5	74%	0.03
cache	S	17	11–6	65%	0.05
inferno	S	17	11–6	65%	0.06
ancient	C	7	3–4	43%	0.03
train	A	5	3–2	60%	0.05
anubis	—	4	2–2	50%	0.04
nuke	—	3	1–2	33%	0.05
overpass	—	3	3–0	100%	0.09
italy	—	1	1–0	100%	0.10
vertigo	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (39% over 23). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

279,173Lifetime kills

0.77K/D

7,738Matches

39.0%Match win rate

66.3%Headshot % · Top 5% of tracked players

20.2%Shot accuracy · Top 5% of tracked players

22,606MVPs

9,638Hours (in match)

7,105Bombs planted

3,088Bombs defused

Most-used weapons

AK-47120,946

Desert Eagle56,518

M4A4 / M4A1-S31,091

AWP19,382

P2000 / USP-S12,671

Glock-184,582

SSG 083,320

SG 5532,508

MAC-102,369

MP91,889

Lifetime map wins

10,779dust2

7,621inferno

1,370nuke

1,189train

974vertigo

284lake

200safehouse

168ar_shoots

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.

25.8%Headshot accuracy

36.1%Accuracy (enemy spotted)

36.8%Spray accuracy

85.3%Counter-strafing

9.0°Preaim

601msReaction time

47.8%T opening success

62.9%CT opening success

0.51Enemies flashed / flash

1.0%Flash assists

4.84HE damage / grenade

1.63Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 1.6332 — below the 4 mark we flag
Grenade Lineups →

Spend your practice time on Dust 2

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

39% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–7	0.05	17%	25 Aug →
cache	13–3	0.11	37%	25 Aug →
cache	12–12	0.03	29%	24 Aug →
dust2	13–9	-0.01	18%	17 Aug →
mirage	13–8	0.01	33%	17 Aug →
anubis	2–13	-0.07	27%	16 Aug →
dust2	3–13	-0.02	44%	16 Aug →
train	9–13	0.03	24%	15 Aug →
mirage	2–13	0.01	23%	15 Aug →
anubis	13–5	0.06	25%	14 Aug →
dust2	12–12	0.03	25%	14 Aug →
nuke	13–10	0.03	18%	14 Aug →
mirage	5–13	0.00	18%	14 Aug →
inferno	13–9	0.05	33%	12 Aug →
mirage	13–11	0.04	36%	12 Aug →
train	8–13	0.06	29%	12 Aug →
ancient	10–13	0.01	21%	9 Aug →
nuke	6–13	0.09	30%	9 Aug →
inferno	13–5	0.19	28%	8 Aug →
cache	12–12	0.01	20%	8 Aug →
train	13–10	0.09	27%	6 Aug →
dust2	13–8	-0.00	36%	2 Aug →
dust2	7–13	0.05	14%	30 Jul →
mirage	13–11	0.10	27%	30 Jul →
dust2	8–13	0.03	18%	24 Jul →
cache	9–13	-0.02	26%	22 Jul →
mirage	13–10	0.06	33%	22 Jul →
anubis	10–13	0.05	23%	22 Jul →
dust2	8–13	0.01	21%	20 Jul →
inferno	12–12	0.05	19%	11 Jul →
nuke	2–9	0.02	23%	11 Jul →
mirage	13–11	0.07	29%	11 Jul →
ancient	13–11	0.11	27%	7 Jul →
dust2	13–11	0.08	27%	7 Jul →
italy	13–5	0.10	21%	5 Jul →
dust2	5–13	-0.06	18%	5 Jul →
vertigo	13–6	0.09	24%	5 Jul →
mirage	13–7	0.00	20%	5 Jul →
anubis	13–5	0.11	24%	5 Jul →
inferno	13–4	0.01	17%	4 Jul →
dust2	13–5	0.08	20%	4 Jul →
dust2	12–12	0.02	24%	3 Jul →
ancient	5–13	-0.02	23%	23 Jun →
inferno	5–13	-0.02	18%	14 Jun →
mirage	13–8	0.01	19%	14 Jun →
mirage	11–13	0.07	27%	8 Jun →
dust2	8–13	-0.01	29%	8 Jun →
mirage	13–3	0.01	25%	7 Jun →
inferno	13–10	0.06	33%	7 Jun →
ancient	12–12	0.02	28%	26 May →
cache	4–13	0.04	38%	26 May →
inferno	13–5	0.03	32%	25 May →
train	13–1	0.07	20%	25 May →
inferno	9–4	0.13	37%	25 May →
inferno	9–2	0.13	63%	24 May →
inferno	9–7	0.10	36%	24 May →
inferno	12–12	0.04	24%	23 May →
dust2	13–8	0.06	24%	23 May →
mirage	10–13	-0.09	15%	23 May →
inferno	7–13	0.02	25%	20 May →
cache	11–0	0.02	29%	20 May →
dust2	9–13	0.02	46%	20 May →
inferno	9–6	0.06	45%	20 May →
dust2	13–7	0.05	19%	17 May →
inferno	12–12	0.12	23%	16 May →
dust2	4–13	0.11	18%	16 May →
cache	13–4	0.08	33%	16 May →
mirage	13–7	0.08	27%	16 May →
mirage	13–10	0.01	23%	15 May →
cache	13–10	0.07	22%	15 May →
train	13–11	-0.00	19%	14 May →
cache	8–13	0.02	48%	14 May →
dust2	13–8	0.05	38%	14 May →
dust2	13–10	-0.00	13%	13 May →
overpass	13–7	0.08	24%	13 May →
cache	13–3	0.07	33%	13 May →
dust2	11–13	0.06	22%	9 May →
inferno	13–11	0.03	24%	9 May →
mirage	13–11	0.01	23%	9 May →
cache	13–8	0.02	34%	9 May →
cache	13–5	0.15	38%	8 May →
inferno	5–13	-0.00	23%	8 May →
dust2	9–13	-0.01	23%	8 May →
mirage	4–13	0.03	28%	8 May →
ancient	8–13	-0.01	22%	6 May →
mirage	13–10	0.04	25%	6 May →
ancient	13–9	0.06	28%	6 May →
cache	13–4	0.11	31%	6 May →
mirage	13–5	0.09	38%	6 May →
dust2	10–13	0.02	30%	6 May →
mirage	13–3	0.05	23%	3 May →
dust2	4–13	-0.07	13%	3 May →
cache	13–7	0.04	20%	3 May →
overpass	13–5	0.17	24%	2 May →
cache	13–9	0.01	23%	2 May →
dust2	13–7	0.08	44%	1 May →
cache	8–13	-0.02	21%	30 Apr →
inferno	13–9	0.07	42%	29 Apr →
cache	13–5	0.10	16%	29 Apr →
overpass	13–8	0.02	33%	27 Apr →