󠀡󠀡 — CS2 Stats

76561198060365187[U:1:100099459]Steam profile ↗✓ No bans

1,165Tracked matches56%Win rate2021Tracked since

CSDB Rating6.8 SolidEntry Fragger

Premier CS Rating17,160Purple band · top ~19.8% of ranked players (population est.)

CSDB Leaderboard#14356 of 25831 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim79

Positioning68

Utility42

0–100 skill scores via Leetify.

Recent form

STEADY44–50–6Last 10044%Win rateLWWWLLWLWL

Last 10 vs previous 10: -20pp win rate · +0.02 avg rating

Player DNA

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

Aim7.9

Aggression10.0

Utility4.2

Positioning6.8

Opening Duels6.6

Strong 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 s1mple 88% playstyle similarity

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

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

Strengths

CT openings. 67% 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 67% on CT to 45% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 587ms 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

Aim7.9

Positioning6.8

Utility4.2

Mechanics7.0

Opening Duels6.6

Win Impact6.9

Composite 6.8/10 (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 rating0.03−0.01

first ⅓ avg 0.05 → last ⅓ avg 0.03

Reaction time583ms−35ms

first ⅓ avg 618ms → last ⅓ avg 583ms

Headshot accuracy28.3%+2.5%

first ⅓ avg 25.9% → last ⅓ avg 28.3%

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

0.21Best rating — mirage 13–4

13–1Biggest win — anubis

4Longest win streak

8–9In matches decided by ≤2 rounds

3Overtime games

Map breakdown

overpassBest map · 56% over 9infernoWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	53	21–32	40%	0.04
dust2	B	10	5–5	50%	0.04
overpass	A	9	5–4	56%	0.01
nuke	C	9	4–5	44%	0.04
inferno	D	6	1–5	17%	0.00
office	—	4	2–2	50%	0.02
ancient	—	3	2–1	67%	0.04
train	—	3	2–1	67%	0.03
anubis	—	2	1–1	50%	0.06
italy	—	1	1–0	100%	-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

56Matches

46%Win rate

1.14Avg K/D

—ADR

50%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

4Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	16	56%	1.27	20.0
Anubis	8	50%	1.11	15.3
Inferno	8	38%	1.11	17.0
Vertigo	6	50%	1.24	18.8
Nuke	5	60%	0.81	13.8
Ancient	3	0%	0.83	13.7
Overpass	3	67%	1.94	18.3

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.

27.7%Headshot accuracy

33.5%Accuracy (enemy spotted)

32.2%Spray accuracy

81.3%Counter-strafing

8.9°Preaim

587msReaction time

45.0%T opening success

67.4%CT opening success

0.50Enemies flashed / flash

4.0%Flash assists

11.19HE damage / grenade

6.28Flashes / match

Recommended for you

Spend your practice time on Inferno

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
overpass	2–13	-0.04	33%	2 Jan →
dust2	13–6	0.17	32%	13 Dec →
mirage	13–2	0.08	37%	11 Dec →
overpass	13–11	0.08	29%	7 Dec →
office	7–13	0.10	22%	6 Dec →
mirage	8–13	0.04	24%	6 Dec →
mirage	13–10	0.03	26%	6 Dec →
mirage	6–13	-0.01	28%	5 Dec →
office	13–7	0.03	24%	5 Dec →
mirage	9–13	0.01	18%	4 Dec →
mirage	13–7	0.06	27%	30 Nov →
mirage	12–12	-0.04	30%	30 Nov →
overpass	13–3	-0.04	22%	30 Nov →
mirage	12–12	0.07	30%	29 Nov →
mirage	13–5	0.03	30%	29 Nov →
mirage	3–13	-0.04	19%	29 Nov →
mirage	13–4	0.21	21%	28 Nov →
italy	13–11	-0.00	29%	28 Nov →
office	13–9	-0.01	29%	28 Nov →
mirage	13–6	0.08	29%	28 Nov →
dust2	0–2	-0.12	0%	28 Nov →
mirage	11–13	0.08	31%	28 Nov →
ancient	4–0	0.02	100%	28 Nov →
ancient	13–11	0.06	23%	28 Nov →
mirage	12–12	0.02	27%	28 Nov →
mirage	10–13	-0.03	26%	28 Nov →
mirage	8–13	-0.00	24%	27 Nov →
mirage	9–13	0.05	21%	27 Nov →
mirage	13–6	0.09	38%	27 Nov →
mirage	11–13	-0.05	36%	27 Nov →
overpass	13–9	0.03	26%	27 Nov →
mirage	11–13	0.08	23%	27 Nov →
anubis	11–13	0.02	22%	23 Nov →
train	13–4	0.06	26%	23 Nov →
dust2	4–13	0.07	20%	23 Nov →
inferno	9–13	0.01	23%	22 Nov →
mirage	10–13	0.05	23%	22 Nov →
mirage	10–13	0.03	14%	22 Nov →
nuke	11–13	0.06	21%	22 Nov →
mirage	13–8	-0.01	14%	22 Nov →
nuke	13–4	0.04	18%	22 Nov →
mirage	9–13	-0.04	27%	22 Nov →
mirage	13–6	0.07	18%	22 Nov →
overpass	6–13	0.02	33%	22 Nov →
mirage	6–13	-0.04	23%	22 Nov →
dust2	13–8	-0.05	18%	22 Nov →
inferno	6–13	-0.05	8%	22 Nov →
mirage	13–10	0.02	18%	21 Nov →
mirage	11–13	0.00	24%	21 Nov →
mirage	13–8	0.05	23%	21 Nov →
dust2	13–8	-0.01	29%	21 Nov →
nuke	1–9	-0.07	24%	21 Nov →
inferno	2–13	-0.01	20%	21 Nov →
nuke	16–14	0.11	24%	21 Nov →
dust2	6–13	0.01	11%	21 Nov →
train	12–12	-0.03	32%	21 Nov →
nuke	7–13	0.04	19%	21 Nov →
dust2	3–13	0.05	26%	21 Nov →
mirage	12–12	0.02	15%	20 Nov →
mirage	7–13	-0.01	14%	20 Nov →
inferno	10–13	0.04	16%	20 Nov →
overpass	13–10	0.08	24%	20 Nov →
mirage	13–8	0.12	21%	19 Nov →
mirage	9–13	-0.02	19%	19 Nov →
dust2	13–3	0.03	22%	19 Nov →
nuke	14–16	0.09	33%	19 Nov →
overpass	13–5	-0.02	21%	19 Nov →
nuke	9–13	-0.07	12%	19 Nov →
dust2	5–13	0.08	25%	18 Nov →
ancient	8–13	0.03	30%	18 Nov →
mirage	8–13	-0.04	21%	18 Nov →
dust2	13–7	0.17	33%	17 Nov →
nuke	13–9	0.07	20%	17 Nov →
mirage	10–13	0.06	20%	17 Nov →
mirage	11–13	0.07	33%	17 Nov →
nuke	13–6	0.07	28%	17 Nov →
mirage	13–8	0.07	26%	17 Nov →
mirage	10–13	0.07	32%	17 Nov →
mirage	13–3	0.05	6%	17 Nov →
mirage	13–10	0.09	26%	16 Nov →
mirage	13–10	0.19	38%	16 Nov →
mirage	12–12	0.08	23%	16 Nov →
office	10–13	-0.02	31%	16 Nov →
mirage	8–13	0.06	28%	16 Nov →
mirage	13–11	0.12	31%	16 Nov →
overpass	7–13	-0.01	20%	16 Nov →
overpass	10–13	-0.03	23%	16 Nov →
mirage	13–9	0.04	26%	16 Nov →
mirage	13–11	0.05	27%	15 Nov →
train	13–8	0.06	24%	15 Nov →
anubis	13–1	0.09	19%	15 Nov →
mirage	8–13	-0.02	22%	15 Nov →
mirage	13–6	0.10	30%	15 Nov →
mirage	6–13	0.06	32%	15 Nov →
inferno	16–14	-0.00	19%	15 Nov →
inferno	5–13	0.02	28%	14 Nov →
mirage	6–13	-0.00	31%	14 Nov →
mirage	6–4	0.03	38%	14 Nov →
mirage	9–13	0.02	25%	14 Nov →
mirage	9–13	0.03	26%	14 Nov →