✪ VerteX — CS2 Stats

DE76561198106937547[U:1:146671819]Steam profile ↗✓ No bans

761Tracked matches39%Win rate2022Tracked since

2,913Hours in CS7Hrs last 2 wks

CSDB Rating5.4 DevelopingHybrid Rifler

Premier CS Rating15,750Purple band · top ~25.4% of ranked players (population est.)

CSDB Leaderboard#16679 of 27663 tracked

WingmanGold Nova III

Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), 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	Purple band median	Pink band median	vs Pink band
Headshot rate	41.7%	44.1%	47.2%	5.5% short
Shot accuracy	15.2%	11.4%	12.7%	above
Kill/death ratio	0.81	1.03	1.09	0.27 short
Match win rate	41.6%	45.2%	46.6%	5.1% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

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

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Performance scores

Aim77

Positioning45

Utility41

0–100 skill scores via Leetify.

Recent form

COLD37–59–4Last 10037%Win rateLLLWWLLLTL

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

Player DNA

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

Aim7.7

Aggression6.1

Utility4.1

Positioning4.5

Opening Duels1.7

Clutch4.6

Excellent counter-strafingLimited utility dependence

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 86% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

Positioning. Positioning trails aim by 32 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.

Reaction time. 601ms 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

Aim7.7

Positioning4.5

Utility4.1

Mechanics8.6

Opening Duels1.7

Win Impact1.4

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time608ms−55ms

first ⅓ avg 663ms → last ⅓ avg 608ms

Headshot accuracy16.6%−3.7%

first ⅓ avg 20.3% → last ⅓ avg 16.6%

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

0.20Best rating — mirage 13–0

13–0Biggest win — mirage

4Longest win streak

L3Current streak

8–7In matches decided by ≤2 rounds

7Overtime games

Map breakdown

anubisBest map · 43% over 7nukeWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	26	10–16	38%	0.00
mirage	C	23	9–14	39%	0.01
ancient	C	16	6–10	38%	-0.01
cache	C	10	4–6	40%	-0.00
inferno	D	9	2–7	22%	-0.01
anubis	C	7	3–4	43%	0.01
nuke	D	5	1–4	20%	-0.00
italy	—	1	0–1	0%	-0.02
golden	—	1	1–0	100%	-0.00
train	—	1	0–1	0%	-0.04
office	—	1	1–0	100%	0.10

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

71,190Lifetime kills

0.81K/D

4,026Matches

41.6%Match win rate

41.7%Headshot %

15.2%Shot accuracy · Top 25% of Purple band

10,006MVPs

1,578Hours (in match)

3,377Bombs planted

707Bombs defused

Most-used weapons

AK-4722,316

M4A4 / M4A1-S12,793

AWP4,925

Desert Eagle4,417

P2000 / USP-S3,814

P902,873

Glock-182,355

FAMAS2,294

Five-SeveN1,967

P2501,760

Lifetime map wins

19,036dust2

1,587inferno

1,332nuke

943office

386cbble

296vertigo

243train

181lake

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

Faceit stats

Combat

51Matches

49%Win rate

0.78Avg K/D

69.4ADR

47%Headshot %

Clutches & streaks

43%1v1 clutch win

7%1v2 clutch win

4Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	8	75%	0.81	12.1
Dust2	5	60%	0.99	14.0
Mirage	4	25%	0.94	16.8
Cache	2	100%	0.82	11.0
Anubis	1	0%	1.00	13.0
Nuke	1	100%	0.30	6.0

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.

16.4%Headshot accuracy

35.1%Accuracy (enemy spotted)

39.3%Spray accuracy

88.8%Counter-strafing

8.9°Preaim

601msReaction time

33.8%T opening success

39.9%CT opening success

0.53Enemies flashed / flash

3.3%Flash assists

9.29HE damage / grenade

4.07Flashes / 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 33.7631% — below the 40% mark we flag

Spend your practice time on Nuke

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	2–13	-0.06	14%	22 Aug →
cache	4–13	0.04	27%	22 Aug →
mirage	6–13	-0.03	22%	22 Aug →
dust2	13–10	0.03	22%	22 Aug →
mirage	13–3	0.01	12%	21 Aug →
mirage	8–13	-0.03	18%	20 Aug →
mirage	10–13	-0.06	20%	15 Aug →
ancient	10–13	-0.03	16%	15 Aug →
inferno	15–15	-0.03	16%	15 Aug →
ancient	7–13	-0.03	6%	15 Aug →
anubis	9–13	-0.05	6%	15 Aug →
ancient	8–13	0.08	23%	15 Aug →
dust2	13–16	-0.01	15%	9 Aug →
mirage	15–15	0.01	11%	4 Aug →
mirage	13–11	0.07	16%	3 Aug →
ancient	13–11	0.01	18%	1 Aug →
mirage	7–13	-0.04	14%	1 Aug →
inferno	13–3	0.00	9%	1 Aug →
ancient	6–13	-0.10	12%	1 Aug →
mirage	6–13	-0.00	17%	1 Aug →
dust2	13–10	0.04	13%	31 Jul →
cache	13–10	0.08	22%	31 Jul →
mirage	8–13	0.03	15%	30 Jul →
dust2	13–9	0.03	22%	30 Jul →
ancient	13–11	-0.02	13%	30 Jul →
mirage	13–11	0.02	19%	29 Jul →
dust2	13–10	0.01	27%	29 Jul →
mirage	9–13	0.05	21%	29 Jul →
cache	10–13	-0.05	11%	28 Jul →
dust2	9–13	-0.05	16%	28 Jul →
anubis	13–9	-0.00	12%	27 Jul →
inferno	4–13	0.04	21%	26 Jul →
nuke	13–9	0.04	22%	26 Jul →
ancient	13–7	-0.03	15%	18 Jul →
cache	13–11	-0.04	12%	22 Jun →
dust2	5–13	-0.05	33%	16 Jun →
anubis	13–4	-0.03	22%	16 Jun →
mirage	19–22	0.01	16%	31 May →
mirage	13–3	0.05	16%	26 May →
cache	10–13	-0.03	16%	10 May →
cache	13–6	0.03	20%	10 May →
dust2	13–6	-0.03	16%	7 May →
ancient	9–13	-0.04	18%	7 May →
cache	5–13	-0.02	28%	7 May →
cache	13–1	0.02	36%	5 May →
cache	9–13	-0.03	16%	5 May →
cache	5–13	-0.01	17%	29 Apr →
anubis	13–11	0.05	15%	27 Apr →
dust2	13–10	0.07	10%	12 Apr →
anubis	11–13	0.06	13%	12 Apr →
dust2	4–13	-0.04	21%	12 Apr →
anubis	11–13	0.05	16%	12 Apr →
ancient	16–14	-0.04	28%	7 Apr →
inferno	9–13	0.08	19%	6 Apr →
ancient	9–13	0.06	26%	6 Apr →
mirage	13–7	0.05	28%	26 Mar →
ancient	13–8	0.14	30%	26 Mar →
dust2	13–3	0.07	20%	15 Mar →
mirage	13–0	0.20	20%	12 Mar →
dust2	1–13	-0.06	24%	2 Mar →
dust2	9–13	0.07	26%	2 Mar →
dust2	13–6	0.07	20%	1 Mar →
mirage	13–3	0.09	35%	21 Feb →
mirage	13–5	0.01	13%	21 Feb →
dust2	9–13	-0.00	14%	21 Feb →
dust2	4–13	-0.09	14%	21 Feb →
dust2	10–13	0.05	21%	9 Feb →
inferno	6–13	-0.07	24%	8 Feb →
nuke	3–13	-0.03	28%	8 Feb →
mirage	5–13	-0.04	20%	8 Feb →
dust2	5–13	-0.02	9%	5 Feb →
inferno	13–4	-0.03	30%	2 Feb →
dust2	11–13	0.09	18%	1 Feb →
mirage	6–13	-0.01	35%	30 Jan →
dust2	10–13	0.02	18%	30 Jan →
ancient	10–13	-0.04	23%	28 Jan →
inferno	11–13	-0.04	21%	28 Jan →
mirage	6–13	-0.05	24%	27 Jan →
mirage	12–16	0.01	26%	27 Jan →
anubis	9–13	0.02	16%	27 Jan →
dust2	13–10	0.03	13%	27 Jan →
ancient	13–11	0.01	16%	26 Jan →
nuke	6–13	0.01	29%	13 Jan →
dust2	8–13	-0.04	19%	13 Jan →
dust2	15–15	-0.01	18%	13 Jan →
ancient	3–13	-0.02	14%	13 Jan →
nuke	1–13	-0.09	17%	12 Jan →
mirage	13–7	0.00	25%	12 Jan →
italy	6–13	-0.02	15%	15 Dec →
golden	13–2	-0.00	10%	15 Dec →
mirage	10–13	-0.03	14%	15 Dec →
train	11–13	-0.04	13%	23 Nov →
dust2	4–13	-0.05	15%	23 Nov →
inferno	5–9	0.02	15%	4 Nov →
nuke	8–8	0.05	22%	4 Nov →
dust2	13–9	0.00	35%	4 Nov →
inferno	6–9	-0.05	31%	4 Nov →
office	13–5	0.10	31%	30 Oct →
dust2	11–13	-0.06	11%	30 Oct →
ancient	11–13	-0.05	14%	24 Oct →