★ crackSTAR — CS2 Stats

76561198018907602[U:1:58641874]Steam profile ↗✓ No bans

2,017Tracked matches57%Win rate2020Tracked since

CSDB Rating5.7 SolidHybrid Rifler

Premier CS Rating22,756Top 50% of 17,162 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)

CSDB Leaderboard#7055 of 27714 tracked

FaceitLevel 9 · 1,698 ELOTop 20.7% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim67

Positioning50

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY55–45Last 10055%Win rateWLLWLWLWWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

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

Aim6.7

Aggression5.6

Utility5.5

Positioning5.0

Opening Duels2.4

Clutch3.2

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 NiKo 88% playstyle similarity

Most alike: opening-duel success, 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

T-side openings. Opening success drops from 54% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 626ms 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

Aim6.7

Positioning5.0

Utility5.5

Mechanics5.0

Opening Duels3.0

Win Impact7.2

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time637ms+22ms

first ⅓ avg 615ms → last ⅓ avg 637ms

Headshot accuracy21.7%+3.6%

first ⅓ avg 18.1% → last ⅓ avg 21.7%

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

0.09Best rating — inferno 9–13

13–0Biggest win — ancient

9Longest win streak

7–5In matches decided by ≤2 rounds

13Overtime games

Map breakdown

cacheBest map · 67% over 9infernoWeakest map · 43% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	32	16–16	50%	-0.02
ancient	B	23	12–11	52%	-0.01
mirage	B	13	7–6	54%	-0.02
cache	S	9	6–3	67%	-0.02
anubis	A	9	5–4	56%	-0.01
inferno	C	7	3–4	43%	-0.01
overpass	—	4	4–0	100%	-0.02
nuke	—	2	1–1	50%	0.03
vertigo	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,452Matches

50%Win rate

0.96Avg K/D

73.8ADR

44%Headshot %

Clutches & streaks

36%1v1 clutch win

18%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	313	47%	0.96	14.9
Dust2	304	52%	0.94	14.7
Mirage	265	49%	0.89	14.4
Inferno	184	58%	1.00	14.7
Anubis	182	45%	0.94	14.6
Nuke	47	47%	0.92	14.6
Overpass	33	55%	0.90	13.9
Cache	13	77%	0.87	14.1

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.

21.6%Headshot accuracy

33.6%Accuracy (enemy spotted)

42.2%Spray accuracy

72.4%Counter-strafing

9.8°Preaim

626msReaction time

25.3%T opening success

53.6%CT opening success

0.57Enemies flashed / flash

6.5%Flash assists

10.95HE damage / grenade

7.35Flashes / 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 25.3331% — below the 40% mark we flag

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.

43% win rate across 7 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
dust2	13–9	0.02	19%	22 Aug →
dust2	6–13	-0.04	31%	16 Aug →
dust2	7–13	-0.02	20%	16 Aug →
cache	13–8	0.01	18%	16 Aug →
nuke	11–13	0.06	14%	16 Aug →
ancient	13–8	-0.07	16%	16 Aug →
dust2	12–16	-0.06	18%	16 Aug →
mirage	13–10	-0.00	24%	16 Aug →
mirage	13–6	0.05	13%	16 Aug →
cache	13–9	-0.04	46%	15 Aug →
dust2	13–3	-0.02	23%	15 Aug →
dust2	10–13	-0.01	20%	14 Aug →
ancient	6–13	0.02	11%	14 Aug →
ancient	7–13	-0.04	19%	14 Aug →
dust2	13–7	-0.04	17%	14 Aug →
mirage	5–13	-0.09	32%	11 Aug →
cache	8–13	-0.04	21%	8 Aug →
mirage	6–13	0.02	19%	8 Aug →
mirage	13–10	-0.03	22%	4 Aug →
dust2	13–11	0.02	27%	4 Aug →
ancient	13–0	0.04	6%	4 Aug →
inferno	13–9	-0.01	12%	27 Jul →
dust2	7–13	-0.06	39%	21 Jul →
ancient	5–13	0.01	20%	20 Jul →
cache	13–9	-0.03	16%	20 Jul →
ancient	13–5	-0.04	27%	19 Jul →
dust2	16–14	-0.01	35%	19 Jul →
ancient	8–13	-0.02	13%	18 Jul →
dust2	13–6	0.04	22%	18 Jul →
anubis	13–3	0.01	21%	18 Jul →
dust2	9–13	-0.08	25%	14 Jul →
dust2	7–13	-0.02	20%	14 Jul →
cache	5–13	-0.01	31%	14 Jul →
anubis	13–16	-0.00	22%	13 Jul →
dust2	16–12	-0.02	25%	13 Jul →
nuke	13–10	-0.01	37%	13 Jul →
mirage	13–5	-0.03	25%	13 Jul →
cache	11–13	-0.04	23%	12 Jul →
cache	13–6	0.02	21%	12 Jul →
dust2	8–13	-0.03	20%	12 Jul →
dust2	6–13	-0.07	19%	10 Jul →
ancient	11–13	-0.04	19%	10 Jul →
dust2	13–9	-0.08	18%	10 Jul →
cache	13–3	-0.03	14%	10 Jul →
mirage	4–13	-0.10	11%	5 Jul →
dust2	7–13	-0.06	23%	5 Jul →
dust2	10–13	0.00	12%	5 Jul →
dust2	8–13	-0.08	9%	4 Jul →
anubis	13–7	-0.00	6%	4 Jul →
anubis	16–13	-0.00	10%	4 Jul →
dust2	13–11	0.01	23%	4 Jul →
ancient	13–2	-0.04	11%	4 Jul →
mirage	13–1	-0.02	14%	3 Jul →
dust2	13–7	0.09	21%	3 Jul →
ancient	13–3	0.05	15%	2 Jul →
cache	22–19	-0.03	17%	26 Jun →
inferno	13–8	0.01	46%	23 Jun →
mirage	7–13	0.01	22%	23 Jun →
anubis	16–14	0.03	9%	22 Jun →
dust2	16–14	0.02	20%	22 Jun →
dust2	13–7	-0.03	27%	15 Jun →
mirage	13–8	-0.00	24%	15 Jun →
mirage	7–13	-0.07	15%	17 May →
ancient	11–13	-0.01	15%	14 May →
ancient	3–13	-0.03	22%	12 May →
anubis	11–13	-0.04	16%	10 May →
mirage	4–13	-0.10	11%	10 May →
ancient	16–14	-0.01	26%	9 May →
dust2	13–11	-0.01	12%	8 May →
ancient	7–13	-0.04	9%	2 May →
ancient	13–5	-0.02	16%	1 May →
dust2	5–13	0.03	24%	28 Apr →
inferno	9–13	0.09	26%	28 Apr →
anubis	7–13	-0.02	12%	27 Apr →
ancient	13–7	0.02	22%	27 Apr →
dust2	13–10	-0.04	20%	22 Apr →
ancient	13–6	-0.00	23%	22 Apr →
dust2	13–8	0.00	17%	21 Apr →
ancient	8–13	-0.08	20%	19 Apr →
ancient	13–4	0.06	14%	19 Apr →
inferno	6–13	-0.09	21%	19 Apr →
dust2	8–13	0.04	15%	18 Apr →
anubis	10–13	-0.06	14%	17 Apr →
inferno	13–10	-0.02	17%	17 Apr →
dust2	13–4	-0.01	18%	14 Apr →
inferno	12–16	-0.05	10%	14 Apr →
ancient	3–13	-0.03	12%	12 Apr →
anubis	13–8	-0.02	23%	7 Apr →
inferno	5–13	0.00	21%	7 Apr →
ancient	6–13	-0.06	18%	7 Apr →
ancient	16–12	0.02	20%	6 Apr →
ancient	13–3	0.05	29%	6 Apr →
overpass	16–13	-0.00	20%	6 Apr →
overpass	13–6	-0.07	15%	4 Apr →
vertigo	13–2	-0.01	5%	3 Apr →
mirage	13–4	0.05	20%	3 Apr →
overpass	13–7	0.01	19%	3 Apr →
dust2	13–16	-0.05	18%	2 Apr →
overpass	13–6	-0.01	23%	2 Apr →
dust2	2–13	-0.07	18%	23 Mar →