Vincenzo Santorini #1 — CS2 Stats

76561198053958904[U:1:93693176]Steam profile ↗✓ No bans

4,343Tracked matches50%Win rate2020Tracked since

9,020Hours in CS33Hrs last 2 wks

CSDB Rating6.1 SolidAggressive Rifler

FaceitLevel 10 · 2,187 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	42.2%	52.8%
Shot accuracy	15.4%	13.7%
Kill/death ratio	1.10	1.08
Match win rate	42.3%	49.2%

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Performance scores

Aim76

Positioning63

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY51–49Last 10051%Win rateLWLWWWLWLW

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

Player DNA

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

Aim7.6

Aggression9.3

Utility6.5

Positioning6.3

Opening Duels4.5

Clutch3.8

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 device 94% playstyle similarity

Most alike: utility contribution, positioning profile.

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 39% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim7.6

Positioning6.3

Utility6.5

Mechanics4.3

Opening Duels4.5

Win Impact5.0

Composite 6.1/10 (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 time522ms−37ms

first ⅓ avg 559ms → last ⅓ avg 522ms

Headshot accuracy20.8%+3.1%

first ⅓ avg 17.7% → last ⅓ avg 20.8%

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

0.12Best rating — inferno 13–2

13–1Biggest win — cache

6Longest win streak

16–8In matches decided by ≤2 rounds

12Overtime games

Map breakdown

dust2Best map · 67% over 6anubisWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	34	17–17	50%	0.02
inferno	S	17	11–6	65%	0.01
nuke	B	15	8–7	53%	0.02
cache	B	15	8–7	53%	0.01
anubis	D	10	3–7	30%	-0.00
dust2	S	6	4–2	67%	0.03
mirage	—	2	0–2	0%	-0.01
overpass	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

247,400Lifetime kills

1.10K/D · Top 50% of Level 10 players

10,758Matches

42.3%Match win rate

42.2%Headshot %

15.4%Shot accuracy · Top 50% of Level 10 players

25,356MVPs

4,443Hours (in match)

7,793Bombs planted

2,875Bombs defused

Most-used weapons

AK-4768,791

AWP48,336

M4A4 / M4A1-S31,710

P2000 / USP-S14,753

Glock-1812,204

Desert Eagle9,531

MAC-105,541

Knife4,962

MP94,923

Galil AR4,207

Lifetime map wins

17,313inferno

8,881nuke

6,953train

6,938vertigo

5,864dust2

2,277cbble

260safehouse

254lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

3,188Matches

51%Win rate

1.05Avg K/D

78.3ADR

38%Headshot %

Clutches & streaks

39%1v1 clutch win

19%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	322	53%	1.07	17.5
Mirage	221	47%	0.95	15.9
Inferno	210	54%	1.09	15.8
Nuke	168	52%	1.09	17.1
Anubis	131	47%	0.98	15.9
Overpass	118	55%	1.15	16.0
Dust2	96	46%	1.04	16.6
Vertigo	49	49%	1.08	16.7

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.

20.7%Headshot accuracy

37.8%Accuracy (enemy spotted)

40.1%Spray accuracy

69.5%Counter-strafing

10.3°Preaim

521msReaction time

38.9%T opening success

56.8%CT opening success

0.55Enemies flashed / flash

13.7%Flash assists

10.70HE damage / grenade

11.46Flashes / 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 38.8772% — below the 40% mark we flag

Spend your practice time on Anubis

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	10–13	-0.02	15%	26 Aug →
dust2	13–4	0.00	14%	25 Aug →
ancient	9–13	0.02	9%	25 Aug →
dust2	13–5	0.01	36%	25 Aug →
ancient	16–13	0.04	13%	25 Aug →
inferno	13–9	0.04	28%	25 Aug →
mirage	11–13	0.03	37%	24 Aug →
inferno	13–7	0.01	8%	24 Aug →
nuke	6–13	0.05	23%	24 Aug →
ancient	13–7	0.11	15%	24 Aug →
ancient	7–13	0.06	18%	24 Aug →
cache	13–3	0.04	27%	24 Aug →
ancient	13–9	0.06	19%	24 Aug →
nuke	13–8	0.00	15%	24 Aug →
inferno	13–11	-0.02	20%	21 Aug →
ancient	10–13	0.02	11%	21 Aug →
cache	8–13	-0.05	27%	20 Aug →
inferno	11–13	-0.03	10%	20 Aug →
dust2	7–13	0.00	36%	18 Aug →
inferno	13–11	-0.00	21%	18 Aug →
dust2	13–8	0.06	40%	18 Aug →
ancient	9–13	-0.03	18%	17 Aug →
inferno	16–13	0.08	25%	17 Aug →
cache	11–13	-0.00	29%	16 Aug →
ancient	7–13	-0.04	28%	12 Aug →
inferno	13–11	-0.03	24%	11 Aug →
inferno	16–14	0.02	16%	11 Aug →
ancient	7–13	0.07	20%	11 Aug →
ancient	16–19	-0.04	20%	10 Aug →
ancient	8–13	-0.01	8%	8 Aug →
inferno	12–16	0.05	21%	8 Aug →
ancient	13–10	-0.02	14%	8 Aug →
nuke	13–9	0.01	24%	8 Aug →
ancient	4–13	0.07	16%	8 Aug →
anubis	10–13	0.02	17%	7 Aug →
inferno	13–6	0.06	16%	6 Aug →
dust2	13–8	0.09	20%	6 Aug →
ancient	16–14	0.06	18%	6 Aug →
ancient	13–2	-0.02	11%	5 Aug →
cache	19–16	0.02	16%	5 Aug →
nuke	9–13	-0.04	14%	3 Aug →
ancient	19–17	-0.03	14%	29 Jul →
nuke	13–8	0.02	20%	27 Jul →
nuke	13–16	-0.00	13%	27 Jul →
cache	7–13	0.02	6%	25 Jul →
anubis	4–13	-0.08	12%	24 Jul →
nuke	13–11	0.06	21%	24 Jul →
nuke	13–10	0.01	30%	24 Jul →
ancient	15–19	-0.06	18%	24 Jul →
cache	13–6	0.05	37%	23 Jul →
inferno	10–13	0.01	38%	23 Jul →
ancient	13–11	0.04	27%	22 Jul →
ancient	13–10	-0.04	11%	22 Jul →
cache	13–5	0.05	9%	21 Jul →
ancient	13–11	-0.02	13%	21 Jul →
ancient	13–11	0.01	11%	20 Jul →
ancient	13–11	0.06	19%	20 Jul →
inferno	6–13	0.02	31%	19 Jul →
nuke	13–9	0.02	19%	18 Jul →
nuke	6–13	0.01	13%	14 Jul →
ancient	11–13	0.08	27%	14 Jul →
nuke	5–13	0.01	35%	13 Jul →
cache	7–13	-0.02	15%	13 Jul →
cache	9–2	-0.09	17%	9 Jul →
ancient	11–13	0.05	20%	9 Jul →
anubis	13–5	0.02	13%	9 Jul →
cache	13–11	0.01	21%	9 Jul →
cache	13–1	0.07	16%	9 Jul →
anubis	7–13	-0.05	10%	8 Jul →
anubis	8–13	0.05	16%	8 Jul →
nuke	13–7	0.02	9%	8 Jul →
inferno	3–13	-0.10	10%	7 Jul →
ancient	11–13	0.05	19%	7 Jul →
anubis	16–13	0.01	26%	7 Jul →
inferno	13–11	-0.01	27%	7 Jul →
ancient	6–13	-0.04	16%	7 Jul →
dust2	8–13	0.01	26%	7 Jul →
inferno	13–10	-0.02	18%	7 Jul →
anubis	13–7	0.04	18%	5 Jul →
nuke	6–13	0.02	17%	5 Jul →
anubis	10–13	-0.04	14%	5 Jul →
ancient	13–11	0.06	19%	5 Jul →
anubis	10–13	0.01	9%	5 Jul →
nuke	13–5	0.09	24%	5 Jul →
ancient	10–13	-0.03	17%	4 Jul →
cache	9–13	0.04	24%	4 Jul →
ancient	13–11	0.01	20%	3 Jul →
cache	13–4	0.04	23%	3 Jul →
ancient	13–6	0.01	14%	3 Jul →
ancient	10–13	0.04	15%	3 Jul →
overpass	9–13	0.02	22%	3 Jul →
inferno	13–2	0.12	14%	3 Jul →
nuke	11–13	-0.03	18%	3 Jul →
ancient	13–11	0.04	19%	3 Jul →
ancient	5–13	-0.05	16%	2 Jul →
cache	10–13	-0.04	19%	2 Jul →
inferno	6–13	-0.06	19%	2 Jul →
mirage	11–13	-0.06	20%	2 Jul →
ancient	19–16	-0.02	13%	2 Jul →
cache	6–13	-0.01	15%	2 Jul →