vibezenko — CS2 Stats

76561198857758331[U:1:897492603]

1,863Tracked matches68%Win rate2020Tracked since

CSDB Rating7.4 StrongHybrid Rifler

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

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Performance scores

Aim84

Positioning59

Utility78

0–100 skill scores via Leetify.

Recent form

HOT59–33–8Last 10059%Win rateWWLWWWWWWL

Last 10 vs previous 10: +40pp win rate · +0.06 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim8.4

Aggression6.3

Utility7.8

Positioning5.9

Opening Duels3.1

Clutch4.2

Strong CT-side openerEffective flashesHigh utility contribution

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 Twistzz 95% playstyle similarity

Most alike: opening-fight frequency, positioning 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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Utility. Utility score of 78 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 61% on CT to 23% 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

Positioning5.9

Utility7.8

Mechanics7.6

Opening Duels3.9

Win Impact10.0

Composite 7.4/10 (Strong), 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 time536ms−14ms

first ⅓ avg 550ms → last ⅓ avg 536ms

Headshot accuracy23.6%+0.6%

first ⅓ avg 23.0% → last ⅓ avg 23.6%

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

0.36Best rating — poseidon 9–1

13–0Biggest win — cache

6Longest win streak

W2Current streak

9–8In matches decided by ≤2 rounds

5Overtime games

Map breakdown

mirageBest map · 83% over 6dust2Weakest map · 44% over 18

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	19	9–10	47%	0.00
dust2	C	18	8–10	44%	-0.01
inferno	A	15	9–6	60%	0.05
overpass	S	9	6–3	67%	0.01
poseidon	B	8	4–4	50%	0.06
anubis	S	8	6–2	75%	0.04
mirage	S	6	5–1	83%	0.04
nuke	S	6	4–2	67%	0.07
eldorado	—	3	2–1	67%	0.07
cache	—	3	3–0	100%	0.00
vertigo	—	3	1–2	33%	0.03
shelter	—	1	1–0	100%	0.00
debris	—	1	1–0	100%	0.19

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (44% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,192Matches

59%Win rate

1.24Avg K/D

72.3ADR

51%Headshot %

Clutches & streaks

41%1v1 clutch win

18%1v2 clutch win

19Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	44	52%	1.08	13.3
Dust2	34	59%	1.05	14.2
Mirage	31	68%	1.06	13.0
Anubis	20	70%	1.13	14.3
Cache	13	69%	1.16	15.5
Nuke	7	43%	0.99	13.9
Overpass	6	67%	1.06	13.3
Inferno	4	75%	1.22	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.

22.0%Headshot accuracy

36.5%Accuracy (enemy spotted)

36.4%Spray accuracy

84.0%Counter-strafing

8.9°Preaim

543msReaction time

23.5%T opening success

61.1%CT opening success

0.72Enemies flashed / flash

15.3%Flash assists

10.33HE damage / grenade

16.77Flashes / 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 23.4676% — below the 40% mark we flag

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.

44% win rate across 18 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
ancient	13–11	-0.02	24%	25 Aug →
poseidon	9–5	0.16	23%	18 Aug →
poseidon	6–9	-0.06	15%	17 Aug →
inferno	9–2	0.22	19%	17 Aug →
poseidon	9–1	0.36	31%	16 Aug →
dust2	13–11	0.01	27%	16 Aug →
poseidon	9–7	-0.02	27%	14 Aug →
eldorado	9–3	0.05	29%	13 Aug →
poseidon	9–2	0.12	23%	13 Aug →
inferno	6–9	-0.10	34%	13 Aug →
ancient	14–16	0.01	33%	1 Aug →
anubis	13–10	0.02	18%	1 Aug →
anubis	11–13	0.04	17%	26 Jul →
dust2	10–13	-0.02	17%	24 Jul →
inferno	13–11	0.01	15%	24 Jul →
eldorado	8–8	-0.10	21%	22 Jul →
ancient	10–13	-0.06	18%	20 Jul →
dust2	1–13	-0.09	30%	17 Jul →
shelter	13–7	0.00	18%	12 Jul →
eldorado	9–1	0.27	46%	12 Jul →
debris	9–3	0.19	23%	12 Jul →
dust2	13–4	0.01	26%	12 Jul →
mirage	13–7	0.07	26%	11 Jul →
inferno	12–12	0.00	21%	21 Jun →
ancient	13–1	0.02	21%	21 Jun →
cache	13–0	-0.02	27%	20 Jun →
ancient	5–13	-0.07	30%	17 Jun →
anubis	13–6	0.06	10%	17 Jun →
ancient	13–10	0.08	25%	17 Jun →
dust2	13–10	0.02	24%	16 Jun →
ancient	13–9	0.08	27%	13 Jun →
ancient	13–7	0.03	21%	2 Jun →
overpass	13–8	-0.03	13%	29 May →
ancient	12–12	0.03	27%	26 May →
ancient	13–3	0.04	21%	12 May →
inferno	9–3	0.18	27%	9 May →
inferno	1–9	-0.13	20%	9 May →
ancient	13–6	-0.01	19%	7 May →
dust2	11–13	-0.02	18%	4 May →
dust2	17–19	0.07	25%	3 May →
cache	13–7	0.06	23%	3 May →
cache	13–8	-0.04	14%	3 May →
dust2	8–13	0.01	23%	3 May →
overpass	13–6	-0.02	16%	2 May →
dust2	11–13	-0.01	23%	2 May →
mirage	13–10	-0.02	27%	22 Apr →
nuke	9–3	0.07	14%	16 Apr →
overpass	2–1	0.12	75%	16 Apr →
dust2	11–13	-0.01	30%	16 Apr →
ancient	4–13	-0.06	8%	16 Apr →
overpass	13–10	0.05	22%	14 Apr →
dust2	13–11	0.00	19%	12 Apr →
anubis	15–15	-0.05	13%	12 Apr →
vertigo	6–13	-0.03	13%	12 Apr →
inferno	13–8	-0.01	24%	5 Apr →
overpass	9–7	-0.05	20%	2 Apr →
inferno	9–4	0.05	39%	2 Apr →
overpass	13–4	-0.02	21%	2 Apr →
nuke	13–6	0.14	26%	2 Apr →
ancient	7–13	0.00	28%	30 Mar →
poseidon	8–8	0.01	24%	27 Mar →
poseidon	5–9	-0.02	26%	21 Mar →
vertigo	9–6	0.25	28%	21 Mar →
dust2	1–6	-0.13	40%	19 Mar →
overpass	13–7	0.03	17%	17 Mar →
inferno	5–9	-0.05	19%	17 Mar →
dust2	13–5	0.06	20%	14 Mar →
anubis	13–5	0.06	33%	14 Mar →
anubis	13–7	-0.03	13%	10 Mar →
ancient	6–13	0.05	21%	10 Mar →
mirage	16–12	0.02	13%	10 Mar →
inferno	9–7	0.09	27%	8 Mar →
inferno	8–8	0.10	27%	8 Mar →
ancient	12–12	0.02	23%	8 Mar →
overpass	8–13	-0.06	13%	7 Mar →
inferno	13–4	0.01	12%	7 Mar →
ancient	7–2	-0.00	8%	7 Mar →
ancient	6–13	-0.06	9%	7 Mar →
dust2	13–6	0.02	28%	7 Mar →
nuke	16–12	0.01	22%	6 Mar →
inferno	9–4	0.15	40%	6 Mar →
poseidon	6–9	-0.09	16%	6 Mar →
nuke	9–5	0.28	25%	6 Mar →
ancient	13–8	-0.03	18%	5 Mar →
mirage	13–11	0.04	24%	5 Mar →
dust2	13–11	0.00	17%	5 Mar →
overpass	11–13	0.08	27%	5 Mar →
anubis	13–7	0.10	16%	5 Mar →
ancient	9–13	-0.01	28%	4 Mar →
nuke	8–8	-0.01	21%	28 Feb →
inferno	9–13	-0.04	26%	27 Feb →
dust2	13–9	0.01	23%	27 Feb →
dust2	8–13	-0.06	43%	27 Feb →
mirage	2–13	0.01	25%	26 Feb →
dust2	5–13	-0.04	47%	26 Feb →
anubis	13–5	0.12	23%	24 Feb →
inferno	9–5	0.22	24%	23 Feb →
mirage	13–1	0.14	37%	22 Feb →
vertigo	2–9	-0.12	15%	19 Feb →
nuke	3–9	-0.09	14%	19 Feb →