ванёк — CS2 Stats

PL76561198256810066[U:1:296544338]Steam profile ↗✓ No bans

664Tracked matches52%Win rate2020Tracked since

3,018Hours in CS18Hrs last 2 wks

CSDB Rating6.9 SolidAggressive Rifler

Premier CS Rating19,500Purple band · top ~10.5% of ranked players (population est.)

CSDB Leaderboard#6259 of 12894 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim88

Positioning64

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY43–48–9Last 10043%Win rateWLLWLTLWLW

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.8

Aggression9.3

Utility5.8

Positioning6.4

Opening Duels3.9

Clutch3.6

Sharp aimerStrong 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 jL 97% playstyle similarity

Most alike: opening-fight frequency, 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 88 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.7° off target when enemies appear — placement, not flicking, is the bigger win available.

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 57% on CT to 34% 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

Aim8.8

Positioning6.4

Utility5.8

Mechanics7.9

Opening Duels3.9

Win Impact5.6

Composite 6.9/10 (Solid), 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 rating0.04+0.01

first ⅓ avg 0.03 → last ⅓ avg 0.04

Reaction time546ms−82ms

first ⅓ avg 627ms → last ⅓ avg 546ms

Headshot accuracy23.4%+1.6%

first ⅓ avg 21.8% → last ⅓ avg 23.4%

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

0.23Best rating — mirage 11–13

13–1Biggest win — dust2

3Longest win streak

6–4In matches decided by ≤2 rounds

1Overtime games

Map breakdown

dust2Best map · 61% over 23anubisWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	23	14–9	61%	0.03
mirage	C	17	7–10	41%	0.04
office	B	16	8–8	50%	0.04
nuke	B	13	6–7	46%	0.06
anubis	D	7	1–6	14%	0.02
cache	D	5	1–4	20%	-0.00
ancient	D	5	1–4	20%	0.05
inferno	—	4	2–2	50%	0.02
vertigo	—	2	1–1	50%	0.04
poseidon	—	2	0–2	0%	0.01
train	—	2	1–1	50%	0.02
overpass	—	1	0–1	0%	0.05
shelter	—	1	1–0	100%	0.05
debris	—	1	0–1	0%	0.01
fachwerk	—	1	0–1	0%	-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

88,639Lifetime kills

1.39K/D · Top 10% of tracked players

4,432Matches

53.3%Match win rate · Top 10% of tracked players

42.9%Headshot %

13.7%Shot accuracy · Top 50% of tracked players

13,672MVPs

1,252Hours (in match)

4,079Bombs planted

993Bombs defused

Most-used weapons

AK-4719,001

AWP10,290

M4A4 / M4A1-S9,306

Desert Eagle6,426

P2000 / USP-S6,245

MP96,173

Glock-185,451

MAC-103,800

SSG 082,603

Galil AR1,701

Lifetime map wins

6,095nuke

4,659dust2

1,671inferno

1,318cbble

821vertigo

624train

497office

151italy

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

Faceit stats

Combat

201Matches

57%Win rate

1.24Avg K/D

79.1ADR

43%Headshot %

Clutches & streaks

38%1v1 clutch win

28%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	46	52%	1.19	15.7
Dust2	29	62%	1.31	17.0
Anubis	16	44%	1.19	16.1
Ancient	10	50%	1.27	17.4
Inferno	9	67%	1.49	18.9
Nuke	7	71%	0.99	14.7
Vertigo	4	75%	1.76	15.5
Train	2	100%	2.06	15.5

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.

22.6%Headshot accuracy

39.9%Accuracy (enemy spotted)

44.0%Spray accuracy

85.7%Counter-strafing

10.7°Preaim

545msReaction time

33.8%T opening success

57.5%CT opening success

0.44Enemies flashed / flash

4.4%Flash assists

11.29HE damage / grenade

10.40Flashes / 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.

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 0.4413 — below the 0.5 mark we flag
Grenade Lineups →
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 33.8372% — 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.

14% 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
office	13–11	0.09	15%	27 Aug →
cache	2–13	0.01	13%	27 Aug →
nuke	4–9	0.03	21%	26 Aug →
dust2	13–5	0.05	31%	26 Aug →
overpass	3–13	0.05	14%	24 Aug →
office	12–12	-0.04	38%	24 Aug →
nuke	5–13	-0.03	13%	24 Aug →
office	13–10	-0.02	19%	21 Aug →
office	10–13	-0.02	21%	21 Aug →
vertigo	13–6	0.06	29%	21 Aug →
dust2	5–13	-0.05	15%	20 Aug →
poseidon	6–9	0.04	20%	20 Aug →
mirage	13–10	0.05	19%	19 Aug →
dust2	0–13	-0.03	20%	19 Aug →
dust2	13–10	0.02	23%	19 Aug →
office	10–0	0.12	59%	19 Aug →
dust2	4–13	0.14	25%	19 Aug →
dust2	16–14	-0.05	17%	17 Aug →
ancient	12–12	0.10	14%	17 Aug →
anubis	9–13	0.17	30%	17 Aug →
anubis	8–13	0.01	19%	16 Aug →
dust2	10–13	0.09	14%	16 Aug →
train	13–8	-0.02	24%	15 Aug →
inferno	13–2	-0.01	22%	14 Aug →
mirage	7–13	0.01	26%	13 Aug →
inferno	8–13	-0.02	31%	13 Aug →
anubis	13–7	0.12	28%	13 Aug →
dust2	13–11	0.03	23%	12 Aug →
office	13–9	0.03	12%	12 Aug →
mirage	6–10	-0.00	27%	12 Aug →
train	12–12	0.05	25%	12 Aug →
nuke	13–2	0.15	35%	11 Aug →
office	12–12	0.09	32%	11 Aug →
vertigo	4–13	0.03	19%	9 Aug →
nuke	9–0	0.09	53%	7 Aug →
mirage	13–9	0.12	23%	7 Aug →
ancient	7–13	0.08	17%	7 Aug →
nuke	7–1	0.07	13%	7 Aug →
dust2	13–10	0.03	31%	7 Aug →
mirage	9–13	-0.02	13%	7 Aug →
cache	11–13	0.02	13%	6 Aug →
office	12–12	0.08	26%	6 Aug →
dust2	13–1	0.12	31%	6 Aug →
mirage	10–13	0.09	19%	6 Aug →
ancient	11–13	-0.03	18%	4 Aug →
dust2	13–11	0.07	31%	3 Aug →
mirage	13–5	0.15	21%	2 Aug →
dust2	5–13	0.02	11%	2 Aug →
poseidon	6–9	-0.03	16%	2 Aug →
nuke	9–4	0.18	18%	2 Aug →
ancient	13–7	0.06	16%	1 Aug →
nuke	13–10	0.05	24%	30 Jul →
dust2	8–13	-0.01	27%	30 Jul →
shelter	13–8	0.05	19%	30 Jul →
dust2	5–13	-0.05	15%	29 Jul →
dust2	10–13	0.07	15%	29 Jul →
mirage	13–9	-0.02	16%	29 Jul →
mirage	11–13	0.23	18%	29 Jul →
mirage	10–13	0.09	24%	29 Jul →
nuke	6–13	0.04	24%	29 Jul →
mirage	13–6	-0.03	16%	29 Jul →
nuke	10–13	0.00	22%	29 Jul →
nuke	12–12	-0.02	14%	27 Jul →
anubis	12–12	0.00	20%	26 Jul →
nuke	13–6	0.02	13%	25 Jul →
mirage	3–13	-0.07	10%	25 Jul →
office	9–13	-0.00	19%	25 Jul →
cache	7–13	-0.00	25%	24 Jul →
mirage	13–4	0.05	27%	24 Jul →
office	13–6	0.07	16%	23 Jul →
anubis	0–13	-0.11	16%	23 Jul →
office	13–4	0.16	13%	22 Jul →
anubis	2–13	-0.04	13%	22 Jul →
anubis	2–13	0.01	23%	22 Jul →
mirage	6–13	0.03	24%	21 Jul →
office	12–12	0.04	20%	21 Jul →
nuke	10–13	0.11	27%	21 Jul →
cache	13–10	0.00	25%	20 Jul →
dust2	13–5	0.07	21%	20 Jul →
office	13–3	0.12	14%	20 Jul →
office	0–13	-0.07	22%	20 Jul →
dust2	13–3	0.17	17%	20 Jul →
office	13–11	-0.03	29%	20 Jul →
dust2	13–11	0.10	22%	20 Jul →
debris	8–8	0.01	31%	20 Jul →
dust2	13–7	0.05	22%	20 Jul →
nuke	7–13	0.05	24%	16 Jul →
ancient	0–13	0.02	24%	16 Jul →
dust2	13–7	-0.02	28%	16 Jul →
mirage	5–13	0.02	17%	16 Jul →
office	9–13	0.05	20%	16 Jul →
inferno	8–13	0.08	25%	16 Jul →
inferno	13–8	0.04	28%	15 Jul →
cache	3–13	-0.05	20%	15 Jul →
mirage	5–13	-0.04	17%	14 Jul →
dust2	11–13	0.01	11%	14 Jul →
fachwerk	5–13	-0.00	23%	14 Jul →
mirage	13–7	0.11	21%	14 Jul →
dust2	13–9	-0.04	21%	12 Jul →
dust2	13–8	0.01	31%	12 Jul →