¨vesq_ — CS2 Stats

76561198067033036[U:1:106767308]Steam profile ↗✓ No bans

707Tracked matches63%Win rate2020Tracked since

15,082Hours in CS63Hrs last 2 wks

CSDB Rating5.0 DevelopingSupport

Premier CS Rating24,999Top 25% of 213,399 CSDB-tracked playersPink band · top ~3% of ranked players (population est.)

CSDB Leaderboard#23106 of 260011 tracked

WingmanGold Nova Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (9 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 24,999 +0 15 Oct – 27 Oct · 3 days played

25,117Peak Premier in tracked matches

23Days played since 2026-07-03

Premier CS Rating

1 below peak (25,000)
Next: Red band at 25,000 — 1 to go
Reached: Red band · Pink band · Purple band · Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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	Pink band median	Red band median	vs Red band
Headshot rate	58.5%	46.9%	49.3%	above
Shot accuracy	10.7%	13.0%	13.4%	2.7% short
Kill/death ratio	1.44	1.08	1.12	above
Match win rate	54.6%	46.7%	48.5%	above

This profile matches the typical Red band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Red 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

Aim58

Positioning35

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY62–30–8Last 10062%Win rateWLLWWWWLWL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +2.8pp headshot accuracy · −9ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating 0.02
Avg headshot accuracy 12%
Avg reaction 523ms

Last 10

6–4 · 60% win rate
Avg rating 0.02
Avg headshot accuracy 13%
Avg reaction 513ms

Last 20

13–7 · 65% win rate
Avg rating 0.01
Avg headshot accuracy 12%
Avg reaction 517ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+3.1 against its own average).

Aim5.8

Utility6.2

Positioning3.5

Opening Duels0.0

Clutch2.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like ZywOo 73% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower 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

Areas to improve

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.8

Positioning3.5

Utility6.2

Mechanics4.2

Opening Duels0.0

Win Impact9.3

Composite 5.0/10 (Developing), 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 rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time535ms−34ms

first ⅓ avg 568ms → last ⅓ avg 535ms

Headshot accuracy12.7%−2.8%

first ⅓ avg 15.5% → last ⅓ avg 12.7%

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.

Personal bests

0.18Best match rating · 6–2 · rush_001, 22 Oct →

31%Best headshot accuracy · 10–13 · cache, 2 Sept →

297msFastest reaction time · 12–5 · cache, 2 Sept →

13–0Biggest win · cache, 4 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak

12–4In matches decided by ≤2 rounds

3Overtime games

Map breakdown

mirageBest map · 80% over 5cacheWeakest map · 58% over 72

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	72	42–30	58%	-0.00
nuke	S	8	6–2	75%	0.02
mirage	S	5	4–1	80%	0.01
rush_001	—	4	2–2	50%	0.03
inferno	—	3	2–1	67%	-0.03
anubis	—	3	2–1	67%	-0.01
dust2	—	3	3–0	100%	0.05
vertigo	—	1	0–1	0%	0.07
eldorado	—	1	1–0	100%	0.17

Across the last 100 tracked matches.

Lifetime stats

80,601Lifetime kills

1.44K/D · Top 10% of Pink band

4,524Matches

54.6%Match win rate · Top 10% of Pink band

58.5%Headshot % · Top 25% of Pink band

10.7%Shot accuracy

8,157MVPs

5,434Hours (in match)

3,264Bombs planted

822Bombs defused

Most-used weapons

AK-4738,440

M4A4 / M4A1-S10,651

Desert Eagle4,821

AWP4,463

P2000 / USP-S4,356

MP92,948

Glock-182,089

Five-SeveN1,940

Knife1,864

SSG 08991

Lifetime map wins

12,901lake

1,794nuke

1,273inferno

714train

657dust2

550vertigo

307cbble

226office

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

Faceit stats

Combat

1,214Matches

50%Win rate

1.09Avg K/D

84.9ADR

37%Headshot %

Clutches & streaks

33%1v1 clutch win

26%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	6	50%	1.06	13.3
Anubis	3	33%	0.87	11.3
Nuke	3	0%	1.17	17.3
Dust2	2	50%	2.01	18.0
Ancient	2	0%	0.66	9.5
Train	1	100%	2.60	13.0
Overpass	1	0%	1.60	32.0

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.

12.9%Headshot accuracy

34.6%Accuracy (enemy spotted)

39.2%Spray accuracy

68.7%Counter-strafing

10.6°Preaim

541msReaction time

28.6%T opening success

28.2%CT opening success

0.53Enemies flashed / flash

5.5%Flash assists

9.92HE damage / grenade

13.06Flashes / 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 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.938% — below the 15% mark we flag
Aim Training →
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 28.5831% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
cache	16–14	0.01	8%	27 Oct →
nuke	8–13	-0.04	13%	27 Oct →
cache	5–13	-0.06	19%	27 Oct →
cache	13–6	0.17	7%	27 Oct →
cache	13–5	0.02	12%	24 Oct →
nuke	13–4	-0.02	18%	24 Oct →
rush_001	8–6	0.06	23%	22 Oct →
rush_001	5–8	-0.09	0%	22 Oct →
rush_001	6–2	0.18	19%	22 Oct →
rush_001	5–8	-0.04	13%	22 Oct →
nuke	13–6	0.09	20%	22 Oct →
mirage	5–13	-0.03	8%	16 Oct →
nuke	4–13	-0.06	6%	16 Oct →
inferno	13–10	-0.10	9%	16 Oct →
mirage	13–11	-0.01	8%	15 Oct →
anubis	13–4	-0.01	11%	15 Oct →
inferno	10–13	0.01	11%	15 Oct →
inferno	13–9	-0.00	11%	15 Oct →
mirage	13–6	0.06	9%	15 Oct →
dust2	13–10	0.02	11%	15 Oct →
anubis	16–13	-0.03	13%	15 Oct →
vertigo	6–13	0.07	11%	15 Oct →
cache	12–12	0.03	16%	15 Oct →
cache	6–13	-0.04	14%	13 Oct →
nuke	13–5	-0.05	11%	7 Oct →
nuke	13–3	0.06	18%	25 Sept →
nuke	13–6	0.06	11%	25 Sept →
cache	12–5	-0.02	8%	2 Sept →
cache	3–13	-0.06	14%	2 Sept →
cache	10–13	-0.02	31%	2 Sept →
cache	12–12	0.00	4%	27 Aug →
cache	8–13	-0.01	10%	27 Aug →
cache	12–12	0.02	21%	1 Aug →
cache	13–4	0.00	28%	31 Jul →
cache	7–13	-0.05	10%	31 Jul →
cache	1–2	-0.05	0%	31 Jul →
cache	7–13	-0.10	13%	26 Jul →
cache	4–13	0.00	14%	26 Jul →
cache	13–9	-0.00	14%	26 Jul →
cache	13–5	-0.02	11%	26 Jul →
cache	13–8	0.00	16%	25 Jul →
cache	13–3	0.10	4%	25 Jul →
cache	13–7	-0.00	10%	25 Jul →
cache	13–9	-0.02	15%	25 Jul →
cache	6–13	-0.06	15%	25 Jul →
cache	13–2	0.02	9%	25 Jul →
cache	13–2	-0.02	14%	24 Jul →
cache	13–2	0.07	9%	24 Jul →
cache	6–13	-0.11	15%	24 Jul →
cache	11–13	-0.01	15%	18 Jul →
cache	13–1	0.03	0%	18 Jul →
cache	13–9	-0.02	20%	18 Jul →
cache	13–6	0.01	19%	18 Jul →
cache	13–7	-0.03	16%	18 Jul →
cache	13–6	-0.01	13%	18 Jul →
cache	13–11	0.02	27%	18 Jul →
cache	12–12	-0.07	4%	12 Jul →
cache	8–13	-0.10	4%	12 Jul →
cache	13–2	0.04	14%	12 Jul →
cache	10–13	-0.01	12%	11 Jul →
cache	13–5	0.01	7%	11 Jul →
cache	13–10	0.03	13%	11 Jul →
cache	8–13	-0.03	4%	11 Jul →
cache	6–13	0.03	11%	11 Jul →
cache	13–5	0.09	13%	11 Jul →
nuke	13–4	0.09	11%	11 Jul →
dust2	13–11	0.03	9%	11 Jul →
anubis	15–15	-0.00	11%	11 Jul →
cache	13–11	0.01	10%	11 Jul →
cache	10–13	-0.04	5%	11 Jul →
cache	11–13	0.00	17%	11 Jul →
cache	13–10	0.02	20%	10 Jul →
cache	3–13	-0.02	19%	10 Jul →
cache	13–7	0.06	10%	10 Jul →
mirage	13–10	0.05	9%	10 Jul →
dust2	13–4	0.09	8%	10 Jul →
mirage	13–5	-0.03	18%	10 Jul →
eldorado	9–3	0.17	23%	10 Jul →
cache	3–13	-0.09	15%	10 Jul →
cache	13–11	-0.01	13%	10 Jul →
cache	13–11	0.02	11%	9 Jul →
cache	13–9	-0.01	16%	9 Jul →
cache	13–10	0.01	14%	9 Jul →
cache	13–8	-0.01	14%	9 Jul →
cache	13–6	-0.02	20%	9 Jul →
cache	13–1	0.06	18%	9 Jul →
cache	11–13	-0.03	21%	9 Jul →
cache	9–13	0.00	9%	5 Jul →
cache	13–6	-0.02	7%	5 Jul →
cache	13–1	0.02	10%	5 Jul →
cache	13–11	-0.03	18%	5 Jul →
cache	12–12	0.03	30%	5 Jul →
cache	6–13	-0.01	19%	4 Jul →
cache	13–0	0.10	19%	4 Jul →
cache	13–8	-0.00	10%	4 Jul →
cache	13–11	0.00	19%	4 Jul →
cache	13–11	0.04	13%	4 Jul →
cache	11–13	0.00	15%	3 Jul →
cache	12–12	-0.00	27%	3 Jul →
cache	12–12	0.06	24%	3 Jul →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

500 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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