V3noM___[P]^ftw — CS2 Stats

76561198011065065[U:1:50799337]Steam profile ↗✓ No bans

1,968Tracked matches48%Win rate2020Tracked since

11,329Hours in CS74Hrs last 2 wks

CSDB Rating7.1 StrongPassive Rifler

Premier CS Rating22,384Top 50% of 44,590 CSDB-tracked playersPink band · top ~5.9% of ranked players (population est.)

CSDB Leaderboard#14679 of 59000 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

Rating over time

21,795Peak Premier on CSDB

1Days observed since 2026-08-30

Premier CS Rating

At peak — 22,384
Next: Red band at 25,000 — 2,616 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-30
Purple band first seen 2026-08-30

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=2,587), 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	44.4%	43.7%	44.7%	meets
Shot accuracy	21.5%	11.8%	12.1%	above
Kill/death ratio	1.32	1.02	1.04	above
Match win rate	18.0%	45.0%	45.2%	27.2% short

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

Widest gap: Match win rate. 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

Aim96

Positioning58

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY52–46–2Last 10052%Win rateWWLLWLLLWL

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

Player DNA

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

Aim9.6

Aggression4.1

Utility6.1

Positioning5.8

Opening Duels2.4

Clutch7.2

Sharp aimerExcellent counter-strafingStrong CT-side openerReliable in 1v1s

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 95% playstyle similarity

Most alike: aim profile, opening-duel success.

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

Aim. Aim score of 96 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

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 55% on CT to 25% 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

Aim9.6

Positioning5.8

Utility6.1

Mechanics8.6

Opening Duels3.1

Win Impact4.4

Composite 7.1/10 (Strong), 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 rating0.00−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time502ms−43ms

first ⅓ avg 545ms → last ⅓ avg 502ms

Headshot accuracy22.1%−6.1%

first ⅓ avg 28.2% → last ⅓ avg 22.1%

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 — mirage 13–7

13–1Biggest win — dust2

5Longest win streak

W2Current streak

10–5In matches decided by ≤2 rounds

10Overtime games

Map breakdown

mirageBest map · 63% over 24infernoWeakest map · 35% over 20

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	32	17–15	53%	0.02
mirage	A	24	15–9	63%	0.01
inferno	C	20	7–13	35%	0.00
anubis	A	10	6–4	60%	0.01
ancient	C	8	3–5	38%	0.00
cache	—	4	3–1	75%	-0.01
nuke	—	2	1–1	50%	-0.05

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

868,818Lifetime kills

1.32K/D · Top 10% of Level 5 players

25,720Matches

18.0%Match win rate

44.4%Headshot % · Top 50% of Level 5 players

21.5%Shot accuracy · Top 5% of Level 5 players

34,198MVPs

7,882Hours (in match)

16,153Bombs planted

2,608Bombs defused

Most-used weapons

AK-47319,702

M4A4 / M4A1-S234,566

AWP161,359

Desert Eagle40,854

P2000 / USP-S26,244

Glock-1813,277

MP98,238

P2508,055

MAC-106,824

Knife5,842

Lifetime map wins

32,136dust2

21,796inferno

5,226nuke

4,880vertigo

3,703train

2,758cbble

65lake

51stmarc

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

Faceit stats

Combat

132Matches

50%Win rate

1.11Avg K/D

87.0ADR

49%Headshot %

Clutches & streaks

56%1v1 clutch win

43%1v2 clutch win

6Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	15	40%	1.24	16.5
Mirage	13	62%	1.26	16.9
Ancient	6	83%	1.12	16.2
Anubis	5	40%	1.49	20.2
Nuke	4	50%	1.49	22.0
Inferno	3	67%	0.99	15.0
Vertigo	2	0%	0.82	14.5
Overpass	1	0%	1.12	18.0

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.

22.3%Headshot accuracy

44.4%Accuracy (enemy spotted)

43.6%Spray accuracy

88.9%Counter-strafing

8.5°Preaim

497msReaction time

24.6%T opening success

54.7%CT opening success

0.63Enemies flashed / flash

3.0%Flash assists

10.46HE damage / grenade

8.38Flashes / 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 24.643% — 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.

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
mirage	16–12	0.06	25%	30 Aug →
dust2	13–10	0.01	15%	30 Aug →
anubis	2–13	0.02	27%	30 Aug →
cache	0–13	-0.06	13%	30 Aug →
dust2	13–11	-0.01	10%	29 Aug →
ancient	6–13	-0.01	14%	29 Aug →
dust2	6–13	-0.08	19%	29 Aug →
inferno	5–13	-0.01	21%	28 Aug →
mirage	13–8	-0.02	22%	28 Aug →
inferno	9–13	0.01	23%	28 Aug →
mirage	16–13	-0.04	23%	28 Aug →
ancient	13–3	0.06	24%	28 Aug →
anubis	6–13	-0.03	24%	28 Aug →
inferno	9–13	0.06	27%	28 Aug →
mirage	16–14	0.06	22%	27 Aug →
dust2	13–3	0.07	29%	27 Aug →
inferno	0–13	-0.16	0%	27 Aug →
dust2	7–13	-0.02	49%	27 Aug →
anubis	13–10	-0.03	12%	27 Aug →
anubis	16–13	0.03	24%	26 Aug →
inferno	0–13	-0.07	25%	26 Aug →
dust2	8–13	0.07	25%	26 Aug →
inferno	16–13	0.00	21%	26 Aug →
mirage	5–13	-0.03	17%	25 Aug →
inferno	15–15	-0.04	21%	25 Aug →
mirage	16–14	0.06	22%	24 Aug →
dust2	13–3	0.03	36%	23 Aug →
mirage	13–3	0.05	28%	23 Aug →
mirage	3–3	0.05	16%	23 Aug →
inferno	4–13	-0.01	13%	23 Aug →
mirage	13–11	-0.05	23%	23 Aug →
dust2	6–13	0.08	30%	22 Aug →
inferno	13–10	0.05	30%	22 Aug →
mirage	13–11	-0.01	40%	22 Aug →
anubis	13–11	0.05	38%	22 Aug →
dust2	13–4	0.06	32%	22 Aug →
cache	13–4	0.10	23%	22 Aug →
dust2	9–13	0.04	26%	22 Aug →
dust2	13–1	0.06	19%	22 Aug →
ancient	7–13	-0.03	22%	22 Aug →
dust2	1–13	0.03	26%	21 Aug →
ancient	1–9	-0.01	21%	21 Aug →
mirage	9–2	-0.00	9%	21 Aug →
inferno	13–7	0.11	24%	21 Aug →
dust2	11–13	0.06	23%	21 Aug →
inferno	6–13	-0.01	30%	21 Aug →
anubis	13–1	0.05	30%	21 Aug →
anubis	13–10	0.02	28%	21 Aug →
ancient	13–4	-0.03	14%	21 Aug →
dust2	9–13	-0.03	9%	20 Aug →
anubis	9–13	-0.07	26%	20 Aug →
dust2	13–10	0.00	33%	19 Aug →
dust2	6–13	0.02	38%	19 Aug →
inferno	11–13	0.07	35%	19 Aug →
mirage	13–6	0.04	23%	19 Aug →
mirage	10–13	-0.01	16%	18 Aug →
dust2	10–13	-0.04	22%	18 Aug →
dust2	13–2	0.02	21%	18 Aug →
anubis	11–13	0.02	19%	18 Aug →
dust2	0–13	-0.06	0%	18 Aug →
dust2	13–3	0.04	23%	18 Aug →
dust2	13–6	0.12	32%	17 Aug →
mirage	13–4	0.02	23%	17 Aug →
inferno	3–13	-0.04	18%	17 Aug →
inferno	13–2	0.06	17%	17 Aug →
mirage	13–11	-0.01	19%	17 Aug →
inferno	6–13	-0.03	6%	16 Aug →
dust2	5–13	0.04	35%	16 Aug →
mirage	15–15	-0.02	18%	16 Aug →
mirage	13–3	0.10	43%	16 Aug →
dust2	13–3	0.04	24%	16 Aug →
mirage	7–13	0.01	29%	16 Aug →
dust2	5–3	-0.01	67%	16 Aug →
dust2	13–7	-0.05	19%	15 Aug →
inferno	13–6	0.02	31%	15 Aug →
cache	13–8	-0.05	4%	14 Aug →
ancient	7–13	0.03	27%	14 Aug →
mirage	0–13	-0.08	0%	14 Aug →
mirage	1–13	-0.04	31%	14 Aug →
inferno	13–11	0.05	28%	14 Aug →
ancient	13–6	0.02	10%	14 Aug →
nuke	3–13	-0.06	23%	14 Aug →
ancient	1–13	-0.01	19%	14 Aug →
dust2	10–13	-0.01	17%	14 Aug →
mirage	1–13	-0.01	33%	14 Aug →
dust2	16–14	0.01	25%	14 Aug →
cache	13–10	-0.01	29%	13 Aug →
inferno	11–13	-0.00	26%	13 Aug →
dust2	13–4	0.11	38%	13 Aug →
mirage	13–4	0.00	15%	13 Aug →
dust2	8–13	0.03	33%	12 Aug →
mirage	4–13	0.05	19%	12 Aug →
mirage	13–7	0.13	20%	12 Aug →
dust2	16–12	0.01	26%	12 Aug →
inferno	10–13	-0.06	33%	12 Aug →
anubis	13–10	0.02	29%	11 Aug →
dust2	13–10	0.02	28%	11 Aug →
inferno	13–10	0.04	21%	11 Aug →
nuke	13–9	-0.03	33%	11 Aug →
dust2	0–13	-0.09	100%	11 Aug →