vici0us-- — CS2 Stats

BG76561198120173120[U:1:159907392]Steam profile ↗✓ No bans

4,343Tracked matches63%Win rate2021Tracked since

CSDB Rating6.4 SolidHybrid Rifler

FaceitLevel 10 · 2,274 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim71

Positioning55

Utility65

0–100 skill scores via Leetify.

Recent form

HOT52–45–3Last 10052%Win rateWWWWLWLWLW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

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

Aim7.1

Aggression5.7

Utility6.5

Positioning5.5

Opening Duels3.0

Clutch3.8

Strong CT-side openerEffective flashes

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 93% playstyle similarity

Most alike: utility contribution, opening-duel success.

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 57% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 632ms 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

Aim7.1

Positioning5.5

Utility6.5

Mechanics6.3

Opening Duels3.4

Win Impact9.4

Composite 6.4/10 (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 rating-0.00+0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time632ms+26ms

first ⅓ avg 606ms → last ⅓ avg 632ms

Headshot accuracy20.3%−0.1%

first ⅓ avg 20.5% → last ⅓ avg 20.3%

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

0.19Best rating — mirage 13–4

13–1Biggest win — inferno

4Longest win streak

W4Current streak

12–17In matches decided by ≤2 rounds

11Overtime games

Map breakdown

mirageBest map · 63% over 27infernoWeakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	31	17–14	55%	-0.01
mirage	A	27	17–10	63%	0.01
ancient	B	15	8–7	53%	-0.01
inferno	D	14	4–10	29%	-0.02
cache	C	5	2–3	40%	0.02
nuke	—	4	2–2	50%	-0.02
overpass	—	2	1–1	50%	-0.03
anubis	—	2	1–1	50%	-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,343Matches

51%Win rate

1.08Avg K/D

80.2ADR

51%Headshot %

Clutches & streaks

39%1v1 clutch win

19%1v2 clutch win

13Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	862	48%	1.05	15.9
Dust2	823	51%	1.10	16.2
Ancient	566	52%	1.09	16.5
Anubis	524	55%	1.10	16.4
Inferno	359	54%	1.08	16.2
Overpass	71	42%	1.05	16.8
Nuke	60	48%	1.07	16.5
Vertigo	58	38%	1.07	16.3

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.

20.2%Headshot accuracy

35.8%Accuracy (enemy spotted)

37.7%Spray accuracy

78.2%Counter-strafing

9.2°Preaim

632msReaction time

27.0%T opening success

57.3%CT opening success

0.75Enemies flashed / flash

6.3%Flash assists

9.74HE damage / grenade

12.15Flashes / 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 27.014% — 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 14 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
dust2	13–7	0.07	31%	28 Jul →
cache	13–3	-0.03	16%	21 Jun →
mirage	13–7	0.02	30%	21 Jun →
mirage	13–11	-0.02	22%	21 Jun →
dust2	9–13	0.01	18%	21 Jun →
dust2	13–11	-0.01	20%	20 Jun →
ancient	6–13	0.09	20%	20 Jun →
mirage	13–4	0.08	19%	20 Jun →
dust2	11–13	-0.02	25%	20 Jun →
dust2	13–10	-0.05	13%	19 Jun →
ancient	6–13	0.02	26%	19 Jun →
mirage	14–16	0.01	16%	19 Jun →
dust2	8–13	-0.02	13%	19 Jun →
mirage	13–9	-0.05	16%	19 Jun →
dust2	13–8	0.01	30%	18 Jun →
mirage	13–11	-0.01	21%	18 Jun →
ancient	16–13	-0.02	16%	17 Jun →
inferno	8–13	-0.02	29%	17 Jun →
cache	11–13	0.00	21%	17 Jun →
ancient	13–11	-0.03	16%	17 Jun →
mirage	13–3	0.10	33%	16 Jun →
mirage	8–13	0.04	21%	16 Jun →
dust2	13–11	-0.01	22%	16 Jun →
mirage	2–13	-0.05	9%	16 Jun →
ancient	13–6	-0.03	12%	16 Jun →
dust2	8–13	-0.04	21%	16 Jun →
nuke	13–10	-0.04	20%	16 Jun →
dust2	19–17	-0.00	16%	16 Jun →
inferno	13–1	-0.01	25%	15 Jun →
dust2	13–10	0.00	18%	15 Jun →
mirage	8–13	-0.04	14%	15 Jun →
nuke	11–13	0.02	25%	15 Jun →
dust2	6–13	0.02	17%	15 Jun →
cache	11–13	0.07	23%	15 Jun →
inferno	11–13	0.01	26%	15 Jun →
dust2	11–13	-0.03	13%	14 Jun →
dust2	11–13	-0.02	17%	14 Jun →
ancient	3–13	-0.07	7%	14 Jun →
mirage	16–12	-0.04	17%	14 Jun →
mirage	13–8	-0.01	23%	14 Jun →
dust2	19–16	-0.05	23%	12 Jun →
mirage	2–13	-0.09	19%	12 Jun →
mirage	13–10	-0.03	12%	10 Jun →
mirage	11–13	-0.00	15%	10 Jun →
mirage	13–7	-0.01	20%	10 Jun →
ancient	13–5	0.03	12%	10 Jun →
dust2	7–13	-0.02	9%	9 Jun →
mirage	11–13	-0.02	11%	9 Jun →
dust2	13–11	0.01	15%	9 Jun →
inferno	3–13	0.02	22%	9 Jun →
ancient	11–13	-0.04	17%	9 Jun →
dust2	11–13	-0.03	15%	9 Jun →
inferno	1–13	-0.13	11%	9 Jun →
mirage	13–7	0.04	25%	9 Jun →
dust2	13–4	0.09	26%	9 Jun →
mirage	13–11	-0.00	14%	9 Jun →
ancient	10–13	-0.03	17%	9 Jun →
ancient	2–13	-0.05	31%	9 Jun →
inferno	13–6	-0.01	16%	9 Jun →
mirage	6–13	-0.04	22%	8 Jun →
nuke	12–16	-0.03	15%	8 Jun →
dust2	8–13	-0.04	24%	8 Jun →
dust2	3–13	-0.10	19%	8 Jun →
ancient	13–7	-0.00	28%	8 Jun →
mirage	16–13	0.04	19%	7 Jun →
dust2	13–7	0.04	17%	7 Jun →
cache	13–11	0.04	31%	7 Jun →
inferno	11–13	0.01	25%	7 Jun →
ancient	13–9	-0.00	25%	7 Jun →
mirage	14–16	0.01	21%	7 Jun →
inferno	11–13	-0.01	29%	7 Jun →
ancient	10–13	-0.03	19%	7 Jun →
dust2	13–7	-0.00	23%	6 Jun →
dust2	9–13	-0.02	20%	6 Jun →
inferno	13–11	0.03	16%	6 Jun →
inferno	11–13	-0.03	23%	6 Jun →
ancient	13–8	0.03	27%	6 Jun →
mirage	13–11	0.04	19%	6 Jun →
inferno	3–13	-0.09	21%	6 Jun →
dust2	13–8	-0.01	26%	5 Jun →
cache	12–12	-0.00	19%	28 May →
dust2	7–13	-0.06	17%	26 Feb →
overpass	13–9	-0.00	24%	24 Feb →
dust2	13–6	0.01	13%	24 Feb →
mirage	13–5	0.06	20%	23 Feb →
mirage	6–13	-0.06	5%	23 Feb →
inferno	6–13	-0.06	18%	19 Feb →
mirage	13–10	0.02	19%	19 Feb →
nuke	13–4	-0.02	31%	18 Feb →
anubis	15–15	0.05	18%	24 Jan →
dust2	13–11	-0.03	19%	24 Jan →
ancient	16–13	0.05	22%	24 Jan →
anubis	13–9	-0.06	24%	24 Jan →
inferno	12–12	0.04	23%	21 Jan →
mirage	13–4	0.19	25%	21 Jan →
dust2	13–9	0.02	10%	21 Jan →
dust2	13–2	0.03	21%	30 Dec →
overpass	2–13	-0.06	16%	28 Dec →
inferno	16–12	-0.04	19%	28 Dec →
dust2	11–13	-0.02	19%	20 Dec →