Cla$h ˣᴰ ☭ — CS2 Stats

76561198216601729[U:1:256336001]Steam profile ↗✓ No bans

2,384Tracked matches47%Win rate2020Tracked since

6,143Hours in CS4Hrs last 2 wks

CSDB Rating5.9 SolidEntry Fragger

Premier CS Rating8,197Light Blue band · top ~63.5% of ranked players (population est.)

CSDB Leaderboard#17854 of 23796 tracked

FaceitLevel 5 · 1,057 ELOTop 67.6% of ranked FACEIT players

WingmanSilver Elite

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=918), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 5 median	Level 6 median	vs Level 6
Headshot rate	51.9%	44.2%	44.9%	above
Shot accuracy	13.1%	11.2%	11.8%	above
Kill/death ratio	0.92	1.04	1.04	0.12 short
Match win rate	44.7%	45.3%	45.3%	meets

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim79

Positioning55

Utility49

0–100 skill scores via Leetify.

Recent form

COLD47–52–1Last 10047%Win rateLLWWLLLLLW

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

Player DNA

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

Aim7.9

Aggression10.0

Utility4.9

Positioning5.5

Opening Duels6.3

Clutch2.8

Excellent counter-strafingStrong 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 86% playstyle similarity

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

Where you differ: lower aim profile; lower positioning 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

CT openings. 68% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 68% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 730ms 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

Positioning5.5

Utility4.9

Mechanics8.5

Opening Duels6.3

Win Impact3.9

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time733ms−42ms

first ⅓ avg 775ms → last ⅓ avg 733ms

Headshot accuracy29.0%+3.0%

first ⅓ avg 26.0% → last ⅓ avg 29.0%

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

0.16Best rating — mirage 13–3

13–3Biggest win — mirage

5Longest win streak

L2Current streak

5–12In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 64% over 11infernoWeakest map · 35% over 20

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	27	12–15	44%	0.03
dust2	A	24	14–10	58%	0.02
inferno	C	20	7–13	35%	0.01
nuke	A	11	7–4	64%	0.00
cache	A	7	4–3	57%	0.02
ancient	—	4	0–4	0%	-0.05
train	—	3	2–1	67%	0.06
anubis	—	2	1–1	50%	0.04
vertigo	—	1	0–1	0%	0.01
overpass	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

146,308Lifetime kills

0.92K/D

8,086Matches

44.7%Match win rate

51.9%Headshot % · Top 25% of Level 5 players

13.1%Shot accuracy · Top 50% of Level 5 players

21,235MVPs

3,682Hours (in match)

6,800Bombs planted

1,594Bombs defused

Most-used weapons

AK-4744,781

M4A4 / M4A1-S25,221

Desert Eagle17,071

AWP12,090

P2000 / USP-S10,313

Glock-184,577

MP73,070

P2502,984

Five-SeveN2,842

FAMAS2,606

Lifetime map wins

19,761dust2

13,344inferno

1,904vertigo

1,473cbble

1,433nuke

1,083train

293bank

266lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

602Matches

50%Win rate

0.96Avg K/D

83.5ADR

54%Headshot %

Clutches & streaks

34%1v1 clutch win

20%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	123	53%	1.25	17.5
Inferno	56	39%	0.96	15.0
Dust2	53	55%	1.11	16.9
Anubis	18	33%	0.92	14.7
Vertigo	15	67%	1.43	17.4
Overpass	12	67%	1.06	17.2
Ancient	10	50%	0.87	14.7
Cache	7	43%	0.74	13.0

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.

28.7%Headshot accuracy

37.7%Accuracy (enemy spotted)

37.0%Spray accuracy

88.1%Counter-strafing

10.0°Preaim

730msReaction time

42.8%T opening success

67.8%CT opening success

0.47Enemies flashed / flash

4.7%Flash assists

10.63HE damage / grenade

10.11Flashes / 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 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 730.4991ms — above the 700ms mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.472 — below the 0.5 mark we flag
Grenade Lineups →

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.

35% win rate across 20 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
vertigo	9–13	0.01	31%	24 Aug →
mirage	11–13	0.02	22%	23 Aug →
nuke	13–9	0.01	29%	23 Aug →
dust2	7–3	-0.01	83%	23 Aug →
inferno	8–13	0.04	14%	22 Aug →
cache	11–13	0.04	20%	22 Aug →
nuke	11–13	0.01	29%	13 Aug →
nuke	6–13	-0.02	48%	12 Aug →
mirage	9–13	0.09	36%	12 Aug →
train	13–5	0.08	39%	12 Aug →
train	13–8	0.07	35%	12 Aug →
inferno	7–13	0.03	29%	9 Aug →
nuke	13–5	0.04	35%	9 Aug →
dust2	1–13	-0.01	26%	9 Aug →
mirage	4–13	-0.05	35%	4 Aug →
nuke	13–6	0.02	24%	3 Aug →
dust2	4–13	-0.02	39%	3 Aug →
mirage	13–8	0.05	24%	3 Aug →
ancient	4–13	-0.00	15%	27 Jul →
dust2	13–4	0.01	34%	27 Jul →
dust2	13–8	0.05	21%	27 Jul →
dust2	8–13	0.01	25%	27 Jul →
mirage	13–10	0.02	20%	27 Jul →
dust2	13–10	0.03	34%	27 Jul →
ancient	2–7	-0.14	0%	23 Jul →
inferno	13–5	0.04	37%	23 Jul →
inferno	12–16	-0.01	19%	14 Jul →
anubis	11–13	-0.01	22%	14 Jul →
nuke	13–8	-0.04	22%	14 Jul →
mirage	13–11	-0.02	24%	14 Jul →
mirage	13–5	0.00	29%	14 Jul →
nuke	13–6	0.04	23%	13 Jul →
inferno	13–10	-0.01	35%	12 Jul →
dust2	14–16	-0.04	19%	12 Jul →
mirage	7–13	-0.01	16%	10 Jul →
mirage	8–13	0.10	32%	10 Jul →
cache	13–8	0.02	22%	10 Jul →
dust2	8–13	0.01	14%	10 Jul →
ancient	5–13	0.01	11%	10 Jul →
inferno	3–13	-0.06	7%	10 Jul →
mirage	11–13	-0.04	20%	10 Jul →
dust2	13–4	0.05	20%	9 Jul →
inferno	13–9	0.04	36%	9 Jul →
dust2	13–6	0.06	25%	9 Jul →
inferno	10–13	0.06	29%	9 Jul →
mirage	7–13	0.06	28%	9 Jul →
ancient	7–13	-0.07	22%	9 Jul →
mirage	13–9	0.01	21%	9 Jul →
inferno	13–7	-0.00	39%	8 Jul →
cache	13–5	0.01	28%	8 Jul →
mirage	13–5	-0.11	15%	6 Jul →
nuke	11–13	-0.00	27%	6 Jul →
cache	13–5	0.01	22%	6 Jul →
mirage	6–13	-0.08	23%	6 Jul →
inferno	8–13	-0.00	19%	5 Jul →
mirage	9–13	0.04	20%	5 Jul →
dust2	6–13	-0.05	36%	5 Jul →
inferno	15–15	-0.01	24%	4 Jul →
dust2	16–14	0.05	35%	4 Jul →
dust2	13–5	0.11	24%	4 Jul →
dust2	14–16	-0.02	21%	4 Jul →
inferno	13–7	0.09	31%	4 Jul →
mirage	13–10	0.07	22%	4 Jul →
dust2	13–6	0.03	24%	4 Jul →
mirage	6–13	0.09	23%	3 Jul →
dust2	13–4	0.12	27%	3 Jul →
anubis	16–12	0.09	25%	3 Jul →
inferno	13–11	0.01	13%	3 Jul →
inferno	6–13	-0.02	15%	3 Jul →
mirage	9–13	0.04	22%	3 Jul →
mirage	2–13	-0.01	21%	3 Jul →
nuke	12–16	-0.05	20%	3 Jul →
dust2	13–8	0.01	35%	3 Jul →
cache	13–9	0.06	26%	2 Jul →
inferno	9–13	0.01	19%	30 Jun →
mirage	13–9	0.12	36%	29 Jun →
dust2	11–13	0.01	25%	28 Jun →
cache	11–13	0.08	54%	28 Jun →
mirage	13–3	0.16	17%	28 Jun →
overpass	10–13	-0.02	27%	28 Jun →
mirage	11–13	-0.00	26%	28 Jun →
dust2	13–10	0.07	32%	28 Jun →
dust2	13–11	0.02	22%	26 Jun →
nuke	16–12	0.02	27%	26 Jun →
dust2	13–16	-0.04	14%	26 Jun →
cache	2–13	-0.07	22%	25 Jun →
mirage	9–13	0.11	29%	25 Jun →
inferno	6–13	0.03	36%	24 Jun →
inferno	4–13	-0.01	30%	23 Jun →
inferno	10–13	0.04	13%	23 Jun →
mirage	13–9	0.03	44%	23 Jun →
dust2	11–13	0.02	30%	23 Jun →
mirage	9–13	0.10	32%	23 Jun →
inferno	8–13	0.06	26%	23 Jun →
dust2	13–11	0.01	29%	23 Jun →
train	5–13	0.03	32%	23 Jun →
nuke	13–4	0.02	34%	22 Jun →
mirage	13–6	0.07	13%	21 Jun →
mirage	13–5	0.03	24%	21 Jun →
inferno	13–9	-0.05	12%	21 Jun →