ViLE. — CS2 Stats

76561198042049184[U:1:81783456]

1,710Tracked matches32%Win rate2020Tracked since

CSDB Rating6.0 SolidAggressive Rifler

FaceitLevel 9Top 20.7% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

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Performance scores

Aim84

Positioning56

Utility60

0–100 skill scores via Leetify.

Recent form

COLD36–50–14Last 10036%Win rateLLLWLWTLTT

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

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

Aim8.4

Aggression7.9

Utility6.0

Positioning5.6

Opening Duels4.6

Clutch2.4

Strong 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 iM 94% playstyle similarity

Most alike: opening-duel success, 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

Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 58% on CT to 39% 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

Aim8.4

Positioning5.6

Utility6.0

Mechanics6.6

Opening Duels4.6

Win Impact0.0

Composite 6.0/10 (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 0.05 → last ⅓ avg 0.04

Reaction time527ms−54ms

first ⅓ avg 581ms → last ⅓ avg 527ms

Headshot accuracy21.9%−5.0%

first ⅓ avg 26.9% → last ⅓ avg 21.9%

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

0.18Best rating — vertigo 13–0

13–0Biggest win — mirage

3Longest win streak

L3Current streak

5–8In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 44% over 9cacheWeakest map · 29% over 21

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	23	10–13	43%	0.03
cache	D	21	6–15	29%	0.05
mirage	C	14	5–9	36%	0.05
inferno	C	11	4–7	36%	0.03
nuke	D	9	3–6	33%	0.07
anubis	C	9	4–5	44%	0.04
ancient	D	7	2–5	29%	0.02
vertigo	—	2	2–0	100%	0.13
overpass	—	2	0–2	0%	0.02
shelter	—	1	0–1	0%	0.03
train	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Faceit stats

Combat

272Matches

55%Win rate

1.27Avg K/D

89.0ADR

47%Headshot %

Clutches & streaks

32%1v1 clutch win

17%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	12	58%	1.00	16.9
Inferno	7	43%	1.34	19.7
Dust2	7	29%	1.04	16.4
Mirage	7	43%	1.09	17.0
Nuke	6	83%	1.80	20.7
Train	5	80%	1.93	20.0
Anubis	1	0%	0.85	17.0

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.

21.0%Headshot accuracy

38.5%Accuracy (enemy spotted)

41.6%Spray accuracy

79.6%Counter-strafing

10.1°Preaim

517msReaction time

39.2%T opening success

57.6%CT opening success

0.50Enemies flashed / flash

6.0%Flash assists

12.36HE damage / grenade

10.66Flashes / 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 0.4966 — 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 39.2009% — below the 40% mark we flag

Spend your practice time on Cache

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

29% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
nuke	2–3	0.13	36%	19 Aug →
cache	5–13	0.09	23%	19 Aug →
mirage	4–13	-0.05	25%	18 Aug →
mirage	13–10	0.01	23%	17 Aug →
cache	10–13	0.01	11%	16 Aug →
dust2	13–11	0.06	21%	16 Aug →
nuke	12–12	0.06	28%	15 Aug →
nuke	1–6	-0.01	33%	15 Aug →
cache	12–12	0.03	21%	15 Aug →
dust2	12–12	0.06	19%	14 Aug →
dust2	13–5	-0.03	18%	14 Aug →
anubis	6–13	-0.01	12%	12 Aug →
mirage	6–13	0.05	24%	11 Aug →
dust2	10–13	0.01	18%	11 Aug →
inferno	11–13	-0.01	13%	5 Aug →
dust2	12–12	-0.01	14%	5 Aug →
nuke	5–13	0.02	16%	3 Aug →
inferno	13–7	0.08	28%	3 Aug →
nuke	11–13	0.08	15%	3 Aug →
dust2	7–13	-0.01	35%	3 Aug →
mirage	10–13	0.11	22%	2 Aug →
cache	13–11	-0.00	24%	1 Aug →
dust2	7–13	-0.02	29%	1 Aug →
ancient	13–4	0.07	22%	30 Jul →
dust2	13–7	0.10	30%	30 Jul →
anubis	11–13	0.05	7%	29 Jul →
dust2	6–13	0.02	34%	27 Jul →
ancient	13–3	0.05	24%	27 Jul →
mirage	12–12	0.00	15%	27 Jul →
dust2	10–13	0.16	19%	23 Jul →
mirage	11–13	0.07	20%	23 Jul →
dust2	13–10	0.08	19%	22 Jul →
cache	12–12	0.07	25%	22 Jul →
dust2	4–13	-0.04	23%	19 Jul →
cache	13–9	0.02	19%	19 Jul →
mirage	10–4	0.07	21%	19 Jul →
anubis	13–7	0.01	17%	19 Jul →
anubis	4–13	-0.01	38%	19 Jul →
cache	5–13	-0.01	24%	18 Jul →
cache	4–13	0.01	23%	17 Jul →
dust2	3–13	-0.06	16%	17 Jul →
ancient	1–13	-0.07	11%	16 Jul →
anubis	13–5	0.10	26%	16 Jul →
inferno	4–13	0.03	21%	16 Jul →
dust2	4–13	-0.00	16%	16 Jul →
cache	7–13	0.03	22%	15 Jul →
dust2	13–5	0.10	25%	15 Jul →
anubis	8–13	0.03	18%	15 Jul →
inferno	13–4	0.02	15%	15 Jul →
mirage	13–11	0.02	11%	15 Jul →
mirage	8–13	0.07	31%	12 Jul →
nuke	13–5	0.08	17%	12 Jul →
cache	13–7	0.16	25%	9 Jul →
dust2	13–6	0.02	24%	9 Jul →
shelter	12–12	0.03	22%	9 Jul →
cache	8–13	-0.01	13%	9 Jul →
cache	13–5	0.10	14%	8 Jul →
vertigo	13–4	0.07	38%	6 Jul →
ancient	10–13	0.02	22%	1 Jul →
cache	10–13	0.14	26%	1 Jul →
mirage	12–12	0.07	17%	1 Jul →
ancient	9–13	0.03	23%	30 Jun →
mirage	1–13	0.03	39%	27 Jun →
inferno	12–12	0.06	18%	27 Jun →
nuke	13–5	0.17	16%	27 Jun →
overpass	4–13	0.01	19%	25 Jun →
mirage	11–13	0.06	29%	24 Jun →
dust2	12–12	0.08	27%	24 Jun →
cache	7–13	0.15	27%	24 Jun →
inferno	7–1	0.14	41%	24 Jun →
ancient	12–12	0.07	20%	24 Jun →
cache	9–13	0.08	22%	13 Jun →
dust2	13–6	0.09	33%	13 Jun →
inferno	13–2	0.03	22%	13 Jun →
inferno	3–13	-0.02	41%	11 Jun →
anubis	5–13	0.08	33%	11 Jun →
mirage	13–0	0.14	27%	11 Jun →
dust2	11–13	0.01	29%	2 Jun →
cache	12–12	0.06	23%	1 Jun →
anubis	13–5	0.07	24%	1 Jun →
vertigo	13–0	0.18	39%	1 Jun →
inferno	4–13	-0.02	18%	1 Jun →
nuke	11–13	0.09	17%	1 Jun →
cache	12–12	-0.02	28%	25 May →
nuke	13–11	0.03	21%	25 May →
cache	13–9	0.02	33%	25 May →
dust2	13–9	0.08	24%	25 May →
inferno	12–12	0.07	24%	24 May →
cache	13–10	0.07	28%	24 May →
dust2	7–13	0.03	30%	24 May →
train	5–13	-0.07	28%	22 May →
ancient	7–13	-0.01	11%	22 May →
anubis	13–7	0.05	24%	22 May →
dust2	13–9	0.02	22%	22 May →
cache	9–13	0.05	41%	19 May →
overpass	6–13	0.02	37%	19 May →
mirage	13–11	0.00	25%	19 May →
cache	6–13	-0.05	28%	18 May →
dust2	13–8	0.02	27%	18 May →
inferno	6–13	-0.02	14%	18 May →