VNG — CS2 Stats

76561198061354514[U:1:101088786]

3,790Tracked matches57%Win rate2020Tracked since

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating19,646Purple band · top ~9.9% of ranked players (population est.)

CSDB Leaderboard#4179 of 8638 tracked

FaceitLevel 10 · 2,144 ELOTop 12.4% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim78

Positioning60

Utility66

0–100 skill scores via Leetify.

Recent form

STEADY49–51Last 10049%Win rateWLWLLLWLLW

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

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

Aim7.8

Aggression8.7

Utility6.6

Positioning6.0

Opening Duels3.3

Clutch3.2

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 b1t 93% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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

T-side openings. Opening success drops from 54% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 630ms 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

Aim7.8

Positioning6.0

Utility6.6

Mechanics7.6

Opening Duels3.3

Win Impact7.2

Composite 6.7/10 (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 rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time633ms−8ms

first ⅓ avg 641ms → last ⅓ avg 633ms

Headshot accuracy22.8%+1.2%

first ⅓ avg 21.6% → last ⅓ avg 22.8%

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

0.17Best rating — nuke 13–7

13–1Biggest win — nuke

4Longest win streak

8–6In matches decided by ≤2 rounds

12Overtime games

Map breakdown

nukeBest map · 63% over 27infernoWeakest map · 29% over 17

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	27	17–10	63%	0.02
anubis	C	20	8–12	40%	-0.00
ancient	A	18	11–7	61%	0.02
inferno	D	17	5–12	29%	0.03
overpass	B	8	4–4	50%	0.03
dust2	B	6	3–3	50%	0.02
mirage	—	3	1–2	33%	0.03
cache	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,652Matches

51%Win rate

1.16Avg K/D

78.7ADR

40%Headshot %

Clutches & streaks

36%1v1 clutch win

21%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	308	60%	1.26	17.6
Anubis	281	52%	1.19	16.3
Ancient	279	44%	1.13	16.6
Inferno	150	38%	1.23	16.4
Vertigo	138	50%	1.29	17.4
Mirage	79	47%	1.16	16.9
Overpass	75	56%	1.21	17.1
Dust2	50	38%	1.06	15.8

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

35.1%Accuracy (enemy spotted)

37.5%Spray accuracy

84.1%Counter-strafing

8.7°Preaim

630msReaction time

32.4%T opening success

53.8%CT opening success

0.57Enemies flashed / flash

8.1%Flash assists

9.62HE damage / grenade

12.80Flashes / 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 32.3656% — below the 40% mark we flag

Spend your practice time on Inferno

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 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–3	0.09	24%	26 Aug →
nuke	3–13	-0.03	13%	26 Aug →
inferno	13–8	0.09	16%	26 Aug →
inferno	11–13	0.05	20%	25 Aug →
dust2	5–13	0.02	19%	23 Aug →
anubis	5–13	-0.04	38%	23 Aug →
anubis	13–8	0.03	24%	19 Aug →
inferno	10–13	-0.01	13%	15 Aug →
anubis	9–13	-0.01	8%	15 Aug →
ancient	13–9	-0.07	42%	15 Aug →
anubis	16–13	-0.00	27%	13 Aug →
ancient	13–7	0.08	11%	13 Aug →
nuke	13–9	0.04	29%	13 Aug →
nuke	4–13	-0.05	26%	13 Aug →
inferno	13–11	0.03	26%	13 Aug →
anubis	10–13	0.03	30%	6 Aug →
anubis	7–13	0.02	26%	6 Aug →
anubis	13–4	0.00	20%	24 Jul →
ancient	13–5	0.06	23%	20 Jul →
ancient	16–13	-0.01	18%	17 Jul →
anubis	8–13	0.01	33%	17 Jul →
mirage	13–8	0.04	19%	16 Jul →
inferno	13–2	0.16	22%	3 Jul →
anubis	13–10	0.01	9%	3 Jul →
cache	3–13	0.01	26%	3 Jul →
nuke	13–9	0.03	22%	25 Jun →
ancient	13–9	0.05	13%	25 Jun →
ancient	7–13	-0.08	20%	16 Jun →
overpass	13–3	0.04	24%	10 Jun →
nuke	11–13	0.06	36%	10 Jun →
nuke	13–11	-0.01	43%	10 Jun →
nuke	9–13	-0.04	15%	3 Jun →
ancient	13–6	0.02	16%	1 Jun →
ancient	13–10	0.07	19%	14 May →
inferno	10–13	0.09	20%	14 May →
nuke	16–12	-0.02	23%	14 May →
inferno	7–13	0.04	24%	9 May →
nuke	13–7	0.04	13%	25 Apr →
anubis	10–13	0.01	22%	25 Apr →
nuke	8–13	-0.01	23%	25 Apr →
overpass	12–16	0.04	20%	25 Apr →
nuke	8–13	-0.00	31%	25 Apr →
inferno	6–13	0.06	30%	25 Apr →
ancient	6–13	0.11	15%	25 Apr →
ancient	8–13	-0.05	32%	24 Apr →
dust2	16–14	0.03	21%	24 Apr →
anubis	10–13	-0.04	16%	24 Apr →
nuke	13–1	0.10	27%	24 Apr →
dust2	7–13	-0.01	21%	24 Apr →
mirage	12–16	0.04	26%	24 Apr →
inferno	5–13	-0.05	16%	23 Apr →
ancient	14–16	-0.05	15%	23 Apr →
inferno	9–13	-0.05	10%	23 Apr →
nuke	13–6	0.06	16%	21 Apr →
nuke	10–13	0.01	29%	19 Apr →
nuke	13–5	0.02	18%	19 Apr →
anubis	11–13	-0.01	15%	12 Apr →
overpass	7–13	0.02	31%	10 Apr →
inferno	8–13	0.04	33%	10 Apr →
ancient	5–13	-0.00	21%	10 Apr →
nuke	7–13	0.02	17%	10 Apr →
overpass	13–16	-0.00	18%	10 Apr →
nuke	13–9	0.04	35%	10 Apr →
nuke	13–7	0.17	25%	9 Apr →
inferno	9–13	-0.03	18%	9 Apr →
inferno	13–11	-0.03	26%	7 Apr →
anubis	13–7	0.07	30%	7 Apr →
nuke	13–10	0.01	24%	7 Apr →
nuke	13–5	0.02	32%	7 Apr →
anubis	6–13	-0.03	13%	7 Apr →
mirage	10–13	0.01	18%	7 Apr →
nuke	13–8	0.01	21%	7 Apr →
nuke	13–4	-0.03	16%	1 Apr →
nuke	13–10	-0.00	19%	1 Apr →
dust2	13–8	0.00	23%	1 Apr →
ancient	14–16	-0.03	15%	1 Apr →
dust2	13–11	0.01	15%	1 Apr →
overpass	16–14	0.05	23%	1 Apr →
dust2	8–13	0.04	24%	1 Apr →
inferno	8–13	0.05	42%	1 Apr →
anubis	13–7	0.00	28%	23 Mar →
overpass	10–13	0.01	20%	23 Mar →
inferno	13–11	-0.02	21%	23 Mar →
inferno	9–13	0.06	25%	15 Mar →
anubis	13–9	-0.04	13%	15 Mar →
nuke	13–9	-0.02	18%	15 Mar →
anubis	13–5	0.01	23%	15 Mar →
ancient	13–4	0.00	16%	15 Mar →
anubis	9–13	0.00	25%	13 Mar →
ancient	13–8	0.13	23%	13 Mar →
anubis	2–13	-0.05	18%	13 Mar →
nuke	7–13	-0.03	9%	13 Mar →
ancient	13–7	0.01	24%	13 Mar →
nuke	14–16	0.03	18%	10 Mar →
ancient	7–13	-0.02	19%	10 Mar →
overpass	13–8	0.06	29%	10 Mar →
inferno	9–13	-0.02	19%	10 Mar →
anubis	8–13	-0.04	19%	10 Mar →
nuke	19–17	0.06	26%	10 Mar →
overpass	13–9	0.05	37%	10 Mar →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches

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