Clon3™ — CS2 Stats

ZA76561198372903859[U:1:412638131]Steam profile ↗✓ No bans

3,584Tracked matches69%Win rate2020Tracked since

5,613Hours in CS48Hrs last 2 wks

CSDB Rating7.7 StrongAggressive Rifler

Premier CS Rating27,108Top 10% of 819 CSDB-tracked playersRed band · top ~2% of ranked players (population est.)

CSDB Leaderboard#596 of 10611 tracked

Ladder ranks via Leetify

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Performance scores

Aim81

Positioning65

Utility77

0–100 skill scores via Leetify.

Recent form

HOT51–46–3Last 10051%Win rateWWWWWLWWWW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.1

Aggression9.4

Utility7.7

Positioning6.5

Opening Duels4.6

Strong CT-side openerHigh utility contribution

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 ZywOo 94% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

Strengths

Utility. Utility score of 77 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 60% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.1

Positioning6.5

Utility7.7

Mechanics6.7

Opening Duels4.6

Win Impact10.0

Composite 7.7/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time532ms−80ms

first ⅓ avg 612ms → last ⅓ avg 532ms

Headshot accuracy19.6%−5.5%

first ⅓ avg 25.1% → last ⅓ avg 19.6%

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

0.13Best rating — ancient 13–9

13–1Biggest win — nuke

6Longest win streak

W5Current streak

10–5In matches decided by ≤2 rounds

11Overtime games

Map breakdown

mirageBest map · 82% over 11infernoWeakest map · 25% over 24

Map	Grade	Played	Record	Win rate	Avg rating
inferno	D	24	6–18	25%	0.01
cache	B	19	9–10	47%	0.02
ancient	A	16	10–6	63%	0.02
nuke	A	16	10–6	63%	0.04
anubis	C	12	5–7	42%	0.04
mirage	S	11	9–2	82%	0.04
dust2	—	2	2–0	100%	0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 24). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

143,670Lifetime kills

1.29K/D · Top 25% of tracked players

6,286Matches

55.2%Match win rate · Top 5% of tracked players

52.8%Headshot % · Top 25% of tracked players

11.9%Shot accuracy

20,025MVPs

2,778Hours (in match)

7,316Bombs planted

1,820Bombs defused

Most-used weapons

AK-4756,422

M4A4 / M4A1-S26,918

Desert Eagle15,757

P2000 / USP-S8,421

Glock-185,961

AWP4,674

MP94,410

FAMAS3,825

MAC-103,775

Galil AR3,271

Lifetime map wins

17,239inferno

11,315nuke

2,750vertigo

1,650dust2

1,409train

100cbble

34lake

29office

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.

19.6%Headshot accuracy

36.5%Accuracy (enemy spotted)

39.4%Spray accuracy

80.0%Counter-strafing

9.7°Preaim

518msReaction time

36.8%T opening success

59.7%CT opening success

0.70Enemies flashed / flash

7.0%Flash assists

13.03HE damage / grenade

22.21Flashes / 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 36.8414% — 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.

25% win rate across 24 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
ancient	13–4	0.11	11%	28 Aug →
nuke	13–8	0.06	17%	28 Aug →
inferno	13–9	0.05	17%	27 Aug →
ancient	13–8	0.03	23%	26 Aug →
ancient	13–5	0.07	19%	25 Aug →
inferno	13–16	0.10	22%	24 Aug →
anubis	13–11	-0.02	20%	23 Aug →
cache	13–9	0.02	16%	23 Aug →
mirage	13–5	-0.01	9%	23 Aug →
inferno	13–2	-0.02	15%	23 Aug →
mirage	13–5	0.03	14%	23 Aug →
ancient	13–11	0.06	19%	23 Aug →
cache	7–13	0.00	18%	22 Aug →
inferno	6–13	-0.07	17%	22 Aug →
ancient	6–13	0.05	28%	22 Aug →
cache	13–11	-0.01	20%	22 Aug →
anubis	11–13	0.09	24%	22 Aug →
cache	7–13	0.01	24%	22 Aug →
mirage	13–7	0.04	22%	22 Aug →
ancient	13–11	-0.04	13%	22 Aug →
anubis	13–7	0.08	19%	22 Aug →
inferno	6–13	-0.03	14%	22 Aug →
dust2	13–7	0.08	22%	22 Aug →
nuke	13–9	0.11	31%	21 Aug →
inferno	7–13	0.01	13%	21 Aug →
nuke	10–13	0.08	21%	21 Aug →
mirage	15–15	-0.00	23%	20 Aug →
inferno	13–11	0.06	31%	19 Aug →
inferno	13–7	0.05	19%	18 Aug →
cache	13–9	0.03	20%	17 Aug →
inferno	5–13	-0.05	16%	17 Aug →
anubis	8–13	-0.01	27%	16 Aug →
inferno	16–14	0.04	24%	16 Aug →
anubis	9–13	0.09	23%	16 Aug →
cache	16–13	0.05	21%	16 Aug →
cache	14–16	0.02	29%	16 Aug →
inferno	11–13	0.01	23%	16 Aug →
cache	6–13	0.04	30%	16 Aug →
inferno	5–13	-0.11	21%	15 Aug →
mirage	16–14	0.05	23%	15 Aug →
ancient	3–13	-0.06	27%	15 Aug →
mirage	16–13	0.08	16%	15 Aug →
cache	8–13	0.06	20%	15 Aug →
nuke	5–13	-0.00	28%	15 Aug →
anubis	9–13	-0.02	25%	15 Aug →
ancient	3–13	-0.04	37%	14 Aug →
nuke	5–13	-0.02	20%	14 Aug →
cache	2–13	-0.10	11%	14 Aug →
inferno	8–13	0.01	15%	14 Aug →
ancient	13–8	0.05	19%	13 Aug →
inferno	5–13	0.05	39%	12 Aug →
cache	5–13	-0.01	31%	12 Aug →
anubis	8–13	-0.01	13%	11 Aug →
inferno	5–13	-0.06	21%	10 Aug →
mirage	13–8	0.06	25%	10 Aug →
nuke	13–2	0.09	26%	10 Aug →
nuke	15–15	0.04	29%	10 Aug →
inferno	13–6	0.03	27%	10 Aug →
inferno	11–13	0.04	24%	9 Aug →
cache	5–13	0.05	29%	9 Aug →
anubis	13–11	0.09	24%	9 Aug →
nuke	13–11	0.03	25%	9 Aug →
cache	11–13	0.13	24%	9 Aug →
ancient	16–13	0.06	22%	9 Aug →
anubis	9–13	0.10	22%	8 Aug →
ancient	6–13	-0.05	23%	8 Aug →
nuke	13–7	-0.01	24%	8 Aug →
anubis	13–4	0.10	40%	8 Aug →
mirage	13–3	0.13	32%	8 Aug →
inferno	4–13	-0.05	31%	8 Aug →
cache	13–5	0.12	33%	8 Aug →
nuke	13–6	0.06	36%	8 Aug →
ancient	13–9	0.13	28%	7 Aug →
mirage	13–2	0.00	29%	7 Aug →
dust2	13–10	-0.01	26%	7 Aug →
anubis	5–13	-0.04	27%	7 Aug →
nuke	13–8	0.09	25%	5 Aug →
ancient	8–13	-0.06	21%	2 Aug →
inferno	10–13	-0.03	24%	2 Aug →
cache	2–13	-0.04	19%	2 Aug →
ancient	16–13	0.02	22%	2 Aug →
inferno	8–13	0.06	34%	2 Aug →
anubis	13–4	0.08	25%	2 Aug →
nuke	4–13	-0.07	27%	2 Aug →
ancient	10–13	-0.02	26%	2 Aug →
inferno	10–13	0.04	32%	2 Aug →
nuke	13–1	0.12	31%	1 Aug →
cache	13–10	0.01	14%	1 Aug →
nuke	6–13	0.04	16%	31 Jul →
cache	13–9	-0.01	22%	31 Jul →
inferno	4–13	0.07	31%	30 Jul →
cache	13–9	0.02	24%	29 Jul →
nuke	13–10	0.01	12%	27 Jul →
ancient	13–10	0.04	17%	26 Jul →
inferno	10–13	0.02	13%	26 Jul →
nuke	13–11	0.06	17%	26 Jul →
mirage	13–6	0.11	20%	26 Jul →
inferno	15–15	0.02	16%	26 Jul →
mirage	6–13	-0.03	28%	26 Jul →
cache	13–7	0.06	33%	26 Jul →