🎤 Vincentius 🎧 — CS2 Stats

76561198040186479[U:1:79920751]Steam profile ↗✓ No bans

1,777Tracked matches45%Win rate2020Tracked since

CSDB Rating5.9 SolidHybrid Rifler

Premier CS Rating22,306Top 50% of 17,162 CSDB-tracked playersPink band · top ~6% of ranked players (population est.)

CSDB Leaderboard#7277 of 25393 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim70

Positioning55

Utility66

0–100 skill scores via Leetify.

Recent form

STEADY39–55–6Last 10039%Win rateWLLLWWLLWL

Last 10 vs previous 10: -10pp win rate · -0.00 avg rating

Player DNA

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

Aim7.0

Aggression6.3

Utility6.6

Positioning5.5

Opening Duels2.3

Effective flashesLimited utility dependence

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 93% playstyle similarity

Most alike: opening-fight frequency, 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

Reaction time. 609ms 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

Aim7.0

Positioning5.5

Utility6.6

Mechanics6.7

Opening Duels2.3

Win Impact3.3

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time612ms−14ms

first ⅓ avg 625ms → last ⅓ avg 612ms

Headshot accuracy20.2%+2.8%

first ⅓ avg 17.3% → last ⅓ avg 20.2%

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 — overpass 7–13

13–3Biggest win — mirage

5Longest win streak

4–6In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 75% over 8ancientWeakest map · 9% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	21	10–11	48%	0.03
inferno	D	16	4–12	25%	0.01
dust2	A	13	8–5	62%	0.05
ancient	D	11	1–10	9%	0.02
cache	D	11	1–10	9%	0.03
nuke	D	10	3–7	30%	-0.00
anubis	S	8	6–2	75%	0.03
overpass	—	4	3–1	75%	0.07
train	—	2	1–1	50%	0.05
vertigo	—	2	1–1	50%	-0.04
office	—	1	1–0	100%	0.04
shelter	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (9% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

697Matches

52%Win rate

1.05Avg K/D

—ADR

45%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

11Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	44	59%	0.91	14.4
Anubis	35	71%	0.88	14.1
Ancient	19	42%	0.96	14.4
Vertigo	17	41%	0.84	13.5
Overpass	16	62%	0.96	15.0
Inferno	16	62%	0.81	14.9
Nuke	6	50%	0.84	19.5

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.

18.8%Headshot accuracy

36.3%Accuracy (enemy spotted)

36.4%Spray accuracy

80.0%Counter-strafing

10.1°Preaim

609msReaction time

45.4%T opening success

33.2%CT opening success

0.73Enemies flashed / flash

8.9%Flash assists

16.75HE damage / grenade

4.35Flashes / 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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 33.1888% — below the 40% mark we flag

Spend your practice time on Ancient

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

9% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–7	0.02	16%	5 Aug →
nuke	11–13	-0.06	14%	5 Aug →
ancient	3–13	-0.07	17%	5 Aug →
mirage	6–13	0.01	21%	5 Aug →
mirage	4–2	0.06	33%	18 Jul →
mirage	13–6	0.03	17%	17 Jul →
inferno	4–13	0.02	26%	17 Jul →
nuke	8–13	-0.03	11%	17 Jul →
dust2	13–5	0.04	17%	17 Jul →
cache	6–13	-0.02	17%	16 Jul →
cache	0–13	-0.06	25%	16 Jul →
dust2	13–8	0.01	15%	16 Jul →
dust2	13–10	-0.02	28%	15 Jul →
mirage	13–9	0.04	14%	15 Jul →
cache	13–8	0.10	34%	15 Jul →
inferno	14–16	-0.00	7%	13 Jul →
dust2	6–13	0.06	20%	13 Jul →
mirage	9–13	-0.07	18%	13 Jul →
anubis	13–8	0.01	12%	13 Jul →
inferno	2–13	-0.07	8%	13 Jul →
cache	10–13	0.05	31%	13 Jul →
dust2	13–5	0.11	17%	13 Jul →
dust2	3–10	0.16	21%	13 Jul →
nuke	12–12	0.17	13%	13 Jul →
inferno	13–8	0.02	22%	12 Jul →
office	13–4	0.04	0%	12 Jul →
nuke	13–9	0.04	13%	12 Jul →
shelter	5–13	0.03	37%	12 Jul →
inferno	3–13	-0.06	21%	12 Jul →
mirage	9–13	0.06	31%	12 Jul →
mirage	9–13	0.16	21%	12 Jul →
nuke	11–13	-0.02	35%	11 Jul →
anubis	13–8	0.09	31%	11 Jul →
train	10–13	0.04	24%	11 Jul →
inferno	5–13	0.01	33%	11 Jul →
ancient	10–13	0.10	26%	11 Jul →
anubis	16–13	0.03	10%	10 Jul →
ancient	8–13	0.08	17%	4 Jul →
cache	10–13	0.09	26%	1 Jul →
mirage	15–15	-0.04	25%	1 Jul →
dust2	13–4	0.14	29%	23 Jun →
inferno	9–13	0.03	21%	22 Jun →
anubis	8–13	0.05	19%	22 Jun →
mirage	11–13	-0.02	24%	22 Jun →
mirage	13–9	0.03	21%	18 Jun →
nuke	6–13	-0.11	23%	18 Jun →
cache	8–13	0.00	22%	17 Jun →
vertigo	2–13	-0.04	10%	17 Jun →
mirage	13–10	0.10	20%	17 Jun →
dust2	13–9	0.02	27%	13 Jun →
inferno	13–8	0.03	28%	13 Jun →
mirage	13–6	-0.02	14%	7 Jun →
overpass	7–13	0.18	24%	7 Jun →
cache	2–13	0.01	37%	7 Jun →
cache	5–13	0.16	27%	3 Jun →
cache	10–13	0.02	15%	3 Jun →
mirage	13–8	0.01	13%	28 May →
dust2	16–13	-0.06	17%	28 May →
overpass	13–5	-0.00	13%	28 May →
mirage	11–13	0.00	27%	27 May →
inferno	11–13	-0.05	12%	24 May →
ancient	8–13	-0.02	9%	24 May →
overpass	13–11	0.05	19%	24 May →
mirage	6–1	0.06	30%	23 May →
inferno	10–13	-0.01	11%	23 May →
dust2	8–13	0.08	19%	23 May →
ancient	4–13	-0.05	12%	23 May →
overpass	13–8	0.04	15%	23 May →
nuke	13–11	0.04	18%	23 May →
ancient	5–13	0.00	27%	13 May →
anubis	13–4	0.05	17%	10 May →
dust2	6–13	-0.01	23%	9 May →
inferno	13–4	0.09	27%	9 May →
cache	12–12	-0.02	23%	9 May →
mirage	9–13	0.06	21%	9 May →
inferno	15–15	-0.04	3%	5 May →
ancient	15–15	0.02	12%	5 May →
mirage	9–13	0.06	28%	29 Apr →
ancient	7–13	0.15	18%	29 Apr →
cache	4–13	-0.01	5%	29 Apr →
train	13–10	0.06	40%	25 Apr →
nuke	4–13	-0.01	21%	25 Apr →
anubis	13–11	-0.02	9%	24 Apr →
mirage	16–13	-0.00	26%	24 Apr →
inferno	13–5	0.04	8%	21 Apr →
anubis	13–10	0.05	13%	21 Apr →
vertigo	9–1	-0.04	15%	21 Apr →
dust2	4–13	0.01	35%	21 Apr →
mirage	8–13	-0.02	8%	20 Apr →
mirage	13–3	0.08	13%	16 Apr →
nuke	7–13	-0.05	10%	16 Apr →
ancient	7–13	0.01	21%	11 Apr →
ancient	0–4	-0.02	10%	11 Apr →
inferno	6–13	0.05	12%	11 Apr →
inferno	15–15	0.04	21%	10 Apr →
ancient	11–1	0.04	7%	10 Apr →
inferno	9–13	0.04	16%	10 Apr →
anubis	10–13	-0.02	23%	9 Apr →
dust2	13–4	0.15	14%	9 Apr →
mirage	0–7	-0.02	17%	9 Apr →