𝓬𝓻𝔂𝓲𝓷𝓰 — CS2 Stats

AU76561198324646456[U:1:364380728]Steam profile ↗✓ No bans

877Tracked matches33%Win rate2020Tracked since

2,535Hours in CS21Hrs last 2 wks

CSDB Rating4.4 DevelopingPassive Rifler

FaceitLevel 5 · 1,155 ELOTop 67.6% of ranked FACEIT players

WingmanSilver Elite Master

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	45.9%	44.2%	44.9%	above
Shot accuracy	14.4%	11.2%	11.8%	above
Kill/death ratio	1.19	1.04	1.04	above
Match win rate	48.6%	45.3%	45.3%	above

Across every metric we can compare, this profile already matches the typical Level 6 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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Performance scores

Aim66

Positioning51

Utility57

0–100 skill scores via Leetify.

Recent form

COLD41–57–2Last 10041%Win rateLLLWWLLLLL

Last 10 vs previous 10: -10pp win rate · -0.00 avg rating

Player DNA

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

Aim6.6

Aggression4.1

Utility5.7

Positioning5.1

Opening Duels0.3

Clutch3.6

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 87% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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

Reaction time. 572ms 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

Aim6.6

Positioning5.1

Utility5.7

Mechanics6.1

Opening Duels0.8

Win Impact0.0

Composite 4.4/10 (Developing), 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 rating-0.00−0.05

first ⅓ avg 0.05 → last ⅓ avg -0.00

Reaction time574ms−10ms

first ⅓ avg 583ms → last ⅓ avg 574ms

Headshot accuracy21.2%−6.3%

first ⅓ avg 27.5% → last ⅓ avg 21.2%

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

0.18Best rating — dust2 13–7

13–1Biggest win — inferno

4Longest win streak

L3Current streak

6–13In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 60% over 5anubisWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	42	19–23	45%	0.03
mirage	C	20	8–12	40%	0.02
ancient	D	12	4–8	33%	-0.00
inferno	C	9	4–5	44%	-0.00
anubis	D	7	2–5	29%	-0.03
nuke	A	5	3–2	60%	0.04
cache	—	4	1–3	25%	-0.02
train	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

78,812Lifetime kills

1.19K/D · Top 25% of Level 5 players

3,878Matches

48.6%Match win rate · Top 25% of Level 5 players

45.9%Headshot % · Top 50% of Level 5 players

14.4%Shot accuracy · Top 50% of Level 5 players

18,444MVPs

1,302Hours (in match)

4,437Bombs planted

1,930Bombs defused

Most-used weapons

AK-4722,278

AWP14,793

M4A4 / M4A1-S13,389

Desert Eagle6,086

P2000 / USP-S4,506

Glock-182,900

P2501,183

SSG 081,158

Knife1,130

Tec-9991

Lifetime map wins

13,148dust2

2,261inferno

775nuke

652train

522vertigo

316cbble

55lake

34aztec

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

Faceit stats

Combat

347Matches

49%Win rate

1.08Avg K/D

70.6ADR

53%Headshot %

Clutches & streaks

38%1v1 clutch win

24%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	101	47%	1.13	14.7
Dust2	101	55%	1.15	14.8
Ancient	42	45%	0.99	14.5
Anubis	36	56%	1.11	15.4
Inferno	30	43%	1.07	14.4
Nuke	11	45%	0.81	11.9
Cache	9	22%	0.93	14.0
Overpass	5	60%	0.97	13.2

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.

21.5%Headshot accuracy

29.6%Accuracy (enemy spotted)

31.5%Spray accuracy

77.3%Counter-strafing

8.5°Preaim

572msReaction time

25.7%T opening success

36.5%CT opening success

0.54Enemies flashed / flash

4.3%Flash assists

8.83HE damage / grenade

17.11Flashes / 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.

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 25.726% — below the 40% mark we flag

Spend your practice time on Anubis

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	10–13	-0.00	21%	28 Aug →
anubis	8–13	-0.06	19%	25 Aug →
dust2	13–16	0.02	20%	24 Aug →
mirage	13–11	0.06	28%	16 Aug →
mirage	13–8	0.04	25%	15 Aug →
dust2	8–13	0.00	27%	14 Aug →
anubis	6–13	-0.05	19%	11 Aug →
inferno	3–13	-0.10	5%	10 Aug →
dust2	14–16	0.01	14%	3 Aug →
dust2	8–13	-0.02	22%	31 Jul →
anubis	10–13	-0.03	8%	31 Jul →
dust2	14–16	-0.02	17%	22 Jul →
mirage	11–13	-0.01	30%	22 Jul →
anubis	11–13	0.00	29%	19 Jul →
inferno	13–11	0.01	17%	17 Jul →
ancient	10–13	-0.02	6%	16 Jul →
cache	7–13	0.02	27%	16 Jul →
anubis	13–6	0.01	21%	16 Jul →
ancient	9–13	-0.05	10%	15 Jul →
mirage	13–9	0.02	28%	30 Jun →
dust2	13–4	0.04	36%	30 Jun →
dust2	10–13	0.03	33%	30 Jun →
anubis	13–9	-0.00	17%	27 Jun →
cache	5–13	-0.04	13%	14 Jun →
cache	13–11	-0.01	27%	2 Jun →
mirage	11–1	0.14	38%	27 May →
mirage	7–13	-0.01	40%	11 May →
cache	10–13	-0.04	22%	30 Apr →
dust2	5–13	-0.01	22%	25 Apr →
dust2	9–2	-0.02	0%	25 Apr →
dust2	8–13	-0.02	19%	25 Apr →
ancient	13–8	0.01	19%	22 Apr →
ancient	10–13	-0.01	20%	6 Apr →
dust2	13–7	0.06	22%	6 Apr →
mirage	9–13	-0.00	10%	17 Mar →
nuke	13–10	-0.04	29%	16 Mar →
dust2	11–13	0.04	23%	10 Mar →
inferno	13–9	-0.06	15%	8 Mar →
ancient	13–11	-0.00	23%	8 Mar →
mirage	11–13	-0.04	26%	6 Mar →
dust2	8–13	-0.05	13%	5 Mar →
dust2	13–9	-0.01	23%	1 Mar →
dust2	16–12	0.05	31%	1 Mar →
ancient	10–13	0.04	21%	1 Mar →
dust2	9–13	-0.10	10%	28 Feb →
mirage	14–16	0.03	20%	26 Feb →
ancient	6–13	-0.03	12%	24 Feb →
dust2	13–11	0.01	24%	23 Feb →
inferno	13–4	0.11	23%	17 Feb →
mirage	13–5	-0.01	10%	16 Feb →
mirage	11–13	0.02	10%	8 Feb →
mirage	2–13	-0.08	16%	8 Feb →
dust2	13–6	0.02	45%	8 Feb →
inferno	9–13	-0.05	22%	5 Feb →
inferno	4–13	0.06	34%	5 Feb →
dust2	13–5	-0.06	16%	5 Feb →
mirage	7–13	0.00	25%	5 Feb →
mirage	13–10	-0.04	10%	1 Feb →
ancient	13–10	-0.03	24%	22 Jan →
dust2	6–13	-0.04	20%	21 Jan →
dust2	13–16	-0.01	20%	19 Jan →
mirage	13–2	0.08	43%	14 Jan →
anubis	4–13	-0.09	30%	14 Jan →
mirage	9–13	-0.06	34%	1 Jan →
ancient	14–16	-0.02	24%	1 Jan →
dust2	13–7	0.00	16%	10 Dec →
dust2	13–9	-0.04	47%	3 Dec →
nuke	13–4	0.09	27%	30 Nov →
inferno	13–1	0.03	10%	16 Nov →
mirage	2–13	0.09	20%	3 Nov →
dust2	4–13	-0.03	18%	27 Oct →
dust2	13–10	0.10	34%	25 Oct →
dust2	13–8	0.02	39%	12 Oct →
mirage	7–13	0.05	23%	12 Oct →
nuke	13–7	0.10	21%	11 Oct →
dust2	5–13	0.02	31%	10 Oct →
dust2	11–13	0.04	22%	10 Oct →
nuke	4–13	-0.02	40%	9 Oct →
dust2	13–7	0.10	27%	9 Oct →
dust2	13–7	0.03	37%	7 Oct →
inferno	11–13	0.03	11%	7 Oct →
inferno	8–13	-0.06	14%	7 Oct →
mirage	12–12	-0.05	24%	1 Oct →
dust2	7–13	0.06	23%	1 Oct →
dust2	11–13	0.07	17%	29 Sept →
mirage	13–9	0.11	27%	21 Sept →
dust2	13–16	0.04	42%	21 Sept →
ancient	11–13	0.07	36%	21 Sept →
nuke	10–13	0.08	41%	20 Sept →
dust2	13–8	0.03	23%	20 Sept →
dust2	13–7	0.18	31%	20 Sept →
train	3–11	-0.06	46%	20 Sept →
dust2	5–13	-0.06	15%	20 Sept →
dust2	10–13	0.03	25%	20 Sept →
dust2	16–14	0.13	31%	19 Sept →
dust2	6–13	0.09	31%	18 Sept →
dust2	9–2	0.11	36%	18 Sept →
dust2	12–12	0.09	21%	17 Sept →
dust2	13–7	0.11	32%	17 Sept →
ancient	13–7	0.01	34%	16 Sept →