VILQYSTÖÖ — CS2 Stats

76561198115307003[U:1:155041275]Steam profile ↗

3,085Tracked matches50%Win rate2020Tracked since

CSDB Rating4.2 Developing

Ladder ranks via Leetify

Performance scores

Aim48

Positioning38

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY41–53–6Last 10041%Win rateLLWWLWWLTW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Aim4.8

Aggression2.3

Utility6.5

Positioning3.8

Opening Duels0.0

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 77% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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. 607ms 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

Aim4.8

Positioning3.8

Utility6.5

Mechanics4.5

Opening Duels0.7

Win Impact5.0

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01

first ⅓ avg -0.02 → last ⅓ avg -0.03

Reaction time608ms−9ms

first ⅓ avg 617ms → last ⅓ avg 608ms

Headshot accuracy19.3%−3.5%

first ⅓ avg 22.8% → last ⅓ avg 19.3%

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

0.08Best rating — anubis 13–6

13–1Biggest win — cache

6Longest win streak

L2Current streak

1–9In matches decided by ≤2 rounds

13Overtime games

Map breakdown

anubisBest map · 60% over 10dust2Weakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	24	10–14	42%	-0.02
inferno	B	22	10–12	45%	-0.02
overpass	D	13	3–10	23%	-0.04
anubis	A	10	6–4	60%	-0.01
mirage	C	8	3–5	38%	-0.03
ancient	A	7	4–3	57%	-0.02
dust2	D	6	1–5	17%	-0.05
cache	A	5	3–2	60%	-0.02
train	—	4	1–3	25%	-0.05
vertigo	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,745Matches

51%Win rate

0.94Avg K/D

69.2ADR

43%Headshot %

Clutches & streaks

38%1v1 clutch win

17%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	211	65%	0.99	14.3
Ancient	172	48%	0.92	14.5
Inferno	112	46%	0.83	13.0
Mirage	103	41%	0.81	13.4
Anubis	103	42%	0.84	13.4
Dust2	57	37%	0.77	12.5
Overpass	37	54%	0.91	13.8
Vertigo	30	60%	1.05	16.6

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.

19.6%Headshot accuracy

31.6%Accuracy (enemy spotted)

36.1%Spray accuracy

70.2%Counter-strafing

12.8°Preaim

607msReaction time

21.7%T opening success

35.7%CT opening success

0.52Enemies flashed / flash

10.1%Flash assists

9.80HE damage / grenade

13.43Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.7744° — above the 12° mark we flag
Aim Training →

Spend your practice time on Dust 2

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	8–13	0.07	14%	7 Aug →
nuke	13–16	-0.02	25%	7 Aug →
nuke	13–4	-0.05	18%	29 Jun →
nuke	13–9	0.02	16%	25 Jun →
inferno	6–13	-0.04	17%	25 Jun →
inferno	13–2	0.03	11%	9 Jun →
mirage	13–6	-0.07	12%	21 May →
vertigo	9–13	-0.03	17%	21 May →
overpass	12–12	-0.09	26%	21 May →
cache	13–7	-0.02	13%	21 May →
train	6–13	-0.10	8%	21 May →
cache	13–10	-0.02	20%	10 May →
anubis	13–10	-0.08	21%	10 May →
cache	12–12	-0.05	16%	9 May →
cache	11–13	-0.09	24%	9 May →
inferno	2–13	-0.01	41%	9 May →
nuke	3–9	-0.09	11%	9 May →
mirage	13–5	0.06	23%	5 May →
cache	13–1	0.07	19%	30 Apr →
inferno	13–1	-0.01	17%	27 Apr →
overpass	14–16	-0.06	20%	26 Apr →
inferno	11–13	0.04	20%	22 Apr →
nuke	13–7	0.00	23%	22 Apr →
mirage	7–13	-0.05	21%	18 Apr →
overpass	14–16	-0.04	26%	18 Apr →
inferno	7–13	-0.07	18%	18 Apr →
overpass	6–13	-0.05	5%	18 Apr →
inferno	13–7	-0.01	18%	18 Apr →
nuke	8–13	-0.03	31%	18 Apr →
anubis	13–10	-0.02	20%	16 Apr →
inferno	13–9	0.03	23%	16 Apr →
overpass	1–13	-0.11	16%	13 Apr →
inferno	13–9	-0.05	30%	13 Apr →
nuke	3–13	0.01	24%	9 Apr →
inferno	13–7	-0.01	21%	9 Apr →
inferno	13–8	-0.07	14%	5 Apr →
nuke	10–13	-0.01	19%	5 Apr →
anubis	13–6	0.08	24%	5 Apr →
nuke	4–13	-0.03	9%	4 Apr →
nuke	9–13	-0.03	17%	4 Apr →
nuke	11–13	-0.04	5%	4 Apr →
anubis	8–13	-0.05	13%	4 Apr →
mirage	5–13	-0.09	6%	2 Apr →
inferno	10–13	-0.07	13%	2 Apr →
dust2	15–15	-0.01	27%	2 Apr →
anubis	13–8	0.05	20%	2 Apr →
inferno	12–16	-0.04	17%	28 Mar →
nuke	13–6	-0.08	17%	28 Mar →
nuke	13–6	0.02	8%	28 Mar →
ancient	2–13	-0.05	10%	28 Mar →
nuke	13–9	-0.02	21%	28 Mar →
inferno	0–13	-0.09	60%	28 Mar →
overpass	3–13	-0.10	0%	27 Mar →
anubis	13–5	-0.02	30%	27 Mar →
ancient	9–13	-0.08	20%	27 Mar →
inferno	15–15	-0.06	33%	27 Mar →
inferno	2–13	-0.09	18%	27 Mar →
nuke	6–13	-0.02	15%	27 Mar →
mirage	9–13	-0.05	30%	26 Mar →
anubis	8–13	-0.04	30%	24 Mar →
inferno	5–2	0.02	56%	24 Mar →
nuke	13–10	-0.01	20%	15 Mar →
inferno	10–13	-0.04	24%	15 Mar →
nuke	9–4	0.07	25%	15 Mar →
dust2	11–13	-0.04	12%	14 Mar →
inferno	13–5	0.02	14%	6 Mar →
anubis	13–7	-0.03	21%	2 Mar →
mirage	13–6	-0.03	33%	21 Feb →
overpass	13–7	-0.01	30%	21 Feb →
dust2	13–2	-0.04	21%	21 Feb →
train	13–5	-0.03	22%	21 Feb →
mirage	6–13	-0.01	38%	20 Feb →
ancient	16–14	-0.02	27%	18 Feb →
anubis	7–13	-0.01	28%	18 Feb →
nuke	14–16	-0.08	22%	8 Feb →
ancient	12–16	0.01	20%	8 Feb →
inferno	13–7	0.06	15%	8 Feb →
anubis	5–13	-0.01	26%	7 Feb →
mirage	3–13	-0.01	11%	17 Jan →
nuke	5–13	-0.02	27%	17 Jan →
ancient	13–9	-0.06	23%	15 Jan →
nuke	13–7	-0.04	26%	15 Jan →
ancient	13–7	0.05	22%	15 Jan →
overpass	11–13	0.03	21%	12 Jan →
dust2	7–13	-0.08	37%	7 Jan →
inferno	5–13	-0.04	14%	2 Jan →
train	5–13	0.00	29%	2 Jan →
overpass	13–16	-0.03	20%	14 Dec →
dust2	15–15	-0.06	20%	1 Dec →
nuke	15–15	0.04	17%	30 Nov →
overpass	3–13	-0.05	6%	28 Sept →
train	9–13	-0.07	27%	28 Sept →
dust2	10–13	-0.06	18%	28 Sept →
ancient	13–1	0.03	30%	28 Sept →
overpass	13–7	-0.01	17%	28 Sept →
nuke	4–13	-0.01	19%	23 Sept →
nuke	11–13	0.00	20%	23 Sept →
overpass	7–13	-0.04	18%	21 Sept →
overpass	16–13	-0.02	18%	21 Sept →
nuke	9–4	-0.01	30%	21 Sept →