Mariano — CS2 Stats

76561198057702491[U:1:97436763]Steam profile ↗✓ No bans

1,514Tracked matches47%Win rate2020Tracked since

2,040Hours in CS8Hrs last 2 wks

CSDB Rating6.3 SolidHybrid Rifler

Premier CS Rating19,360Purple band · top ~11% of ranked players (population est.)

CSDB Leaderboard#24479 of 58561 tracked

WingmanMaster Guardian II

Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=7,746), 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	Purple band median	Pink band median	vs Pink band
Headshot rate	44.2%	44.2%	47.1%	2.9% short
Shot accuracy	12.7%	11.7%	12.8%	meets
Kill/death ratio	1.13	1.03	1.08	above
Match win rate	42.0%	45.2%	46.7%	4.6% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim79

Positioning64

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY49–45–6Last 10049%Win rateLLLWLWWWLW

Last 10 vs previous 10: +0pp win rate · +0.05 avg rating

Player DNA

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

Aim7.9

Aggression6.3

Utility6.5

Positioning6.4

Opening Duels2.2

Clutch4.0

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 b1t 95% 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

Strengths

Flashes. 0.83 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 58% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 556ms 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

Aim7.9

Positioning6.4

Utility6.5

Mechanics6.2

Opening Duels3.5

Win Impact3.9

Composite 6.3/10 (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 rating0.03+0.02

first ⅓ avg 0.01 → last ⅓ avg 0.03

Reaction time557ms−35ms

first ⅓ avg 593ms → last ⅓ avg 557ms

Headshot accuracy14.0%−1.3%

first ⅓ avg 15.2% → last ⅓ avg 14.0%

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

0.29Best rating — dust2 13–2

13–0Biggest win — dust2

6Longest win streak

L3Current streak

10–9In matches decided by ≤2 rounds

4Overtime games

Map breakdown

ancientBest map · 73% over 11trainWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	20	7–13	35%	0.01
dust2	B	20	10–10	50%	0.03
cache	B	14	7–7	50%	0.03
ancient	S	11	8–3	73%	0.03
anubis	A	7	4–3	57%	0.03
train	D	7	1–6	14%	0.05
nuke	C	7	3–4	43%	-0.01
office	S	6	4–2	67%	0.04
inferno	—	4	3–1	75%	0.01
overpass	—	3	1–2	33%	0.01
vertigo	—	1	1–0	100%	-0.06

Across the last 100 tracked matches.

Lifetime stats

69,612Lifetime kills

1.13K/D · Top 50% of Purple band

2,988Matches

42.0%Match win rate

44.2%Headshot %

12.7%Shot accuracy · Top 50% of Purple band

6,737MVPs

1,424Hours (in match)

3,526Bombs planted

895Bombs defused

Most-used weapons

AK-4730,002

M4A4 / M4A1-S12,012

AWP5,542

P2000 / USP-S3,606

Glock-182,995

Desert Eagle2,107

MAC-101,605

MP91,529

P2501,123

Tec-9851

Lifetime map wins

8,561dust2

2,651nuke

2,247inferno

1,135vertigo

827train

470office

38cbble

37lake

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

Faceit stats

Combat

198Matches

54%Win rate

1.20Avg K/D

79.6ADR

40%Headshot %

Clutches & streaks

40%1v1 clutch win

23%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	38	50%	1.11	15.4
Anubis	28	61%	1.57	18.0
Ancient	25	36%	0.91	15.2
Dust2	21	67%	1.34	17.3
Inferno	15	67%	1.02	16.1
Nuke	11	64%	1.35	18.1
Train	9	78%	1.11	14.8
Vertigo	8	25%	1.05	16.6

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.

14.3%Headshot accuracy

40.9%Accuracy (enemy spotted)

46.6%Spray accuracy

77.7%Counter-strafing

10.4°Preaim

556msReaction time

19.6%T opening success

57.9%CT opening success

0.83Enemies flashed / flash

11.2%Flash assists

13.59HE damage / grenade

8.90Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.2938% — below the 15% mark we flag
Aim Training →
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 19.5715% — below the 40% mark we flag

Spend your practice time on Train

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
anubis	8–13	0.10	14%	30 Aug →
mirage	6–13	-0.00	10%	29 Aug →
mirage	10–13	-0.02	11%	28 Aug →
ancient	13–7	-0.02	13%	28 Aug →
cache	2–13	-0.04	3%	28 Aug →
office	13–6	0.09	28%	27 Aug →
dust2	13–2	0.29	12%	27 Aug →
cache	13–4	0.12	8%	27 Aug →
train	4–7	0.13	22%	27 Aug →
office	13–8	0.09	12%	25 Aug →
train	11–13	0.03	11%	25 Aug →
dust2	13–0	0.02	19%	25 Aug →
office	13–8	-0.05	14%	19 Aug →
train	9–13	0.00	12%	17 Aug →
ancient	13–11	0.05	9%	17 Aug →
train	13–7	0.08	12%	16 Aug →
ancient	13–11	0.05	13%	16 Aug →
nuke	8–13	-0.01	9%	16 Aug →
mirage	11–13	-0.02	15%	16 Aug →
train	7–13	0.08	27%	15 Aug →
train	7–13	0.04	20%	14 Aug →
ancient	9–13	-0.03	13%	14 Aug →
dust2	13–5	0.07	25%	9 Aug →
anubis	13–7	-0.00	13%	8 Aug →
mirage	13–5	-0.07	9%	8 Aug →
mirage	16–14	0.03	10%	8 Aug →
ancient	10–13	0.01	18%	8 Aug →
dust2	8–13	-0.06	21%	8 Aug →
office	8–13	-0.00	16%	8 Aug →
office	7–13	0.09	16%	7 Aug →
dust2	8–13	0.01	8%	7 Aug →
cache	9–13	-0.01	10%	25 Jul →
anubis	8–13	0.01	8%	25 Jul →
cache	13–5	0.12	16%	25 Jul →
ancient	13–7	0.05	17%	25 Jul →
dust2	11–13	0.00	11%	25 Jul →
dust2	13–3	0.07	21%	22 Jul →
dust2	9–13	-0.02	16%	22 Jul →
dust2	10–13	-0.01	19%	22 Jul →
ancient	6–13	-0.01	5%	20 Jul →
dust2	13–10	-0.01	20%	20 Jul →
dust2	16–14	0.01	6%	19 Jul →
inferno	13–8	0.06	4%	19 Jul →
cache	7–13	0.01	22%	19 Jul →
nuke	7–9	-0.10	14%	19 Jul →
dust2	13–5	0.09	15%	18 Jul →
dust2	13–11	0.02	9%	18 Jul →
dust2	8–13	0.01	16%	16 Jul →
mirage	13–8	0.08	11%	16 Jul →
cache	4–13	0.07	12%	14 Jul →
inferno	13–10	-0.02	18%	6 Jul →
mirage	3–13	-0.04	18%	6 Jul →
dust2	13–11	0.03	23%	4 Jul →
overpass	13–8	0.06	13%	4 Jul →
dust2	13–8	0.01	8%	4 Jul →
anubis	13–5	0.07	23%	3 Jul →
mirage	13–6	0.10	12%	3 Jul →
cache	13–5	0.08	14%	3 Jul →
dust2	11–13	-0.02	16%	2 Jul →
cache	13–6	0.09	14%	1 Jul →
anubis	8–13	0.02	16%	30 Jun →
ancient	13–5	0.04	15%	30 Jun →
vertigo	8–6	-0.06	16%	30 Jun →
cache	13–4	-0.00	20%	29 Jun →
anubis	13–6	0.02	10%	29 Jun →
mirage	7–13	-0.01	7%	29 Jun →
mirage	11–13	-0.01	16%	28 Jun →
ancient	13–11	0.09	14%	27 Jun →
office	13–11	0.01	11%	27 Jun →
nuke	13–10	0.03	11%	27 Jun →
ancient	13–9	0.06	22%	27 Jun →
mirage	12–12	0.17	19%	25 Jun →
dust2	5–13	0.05	15%	25 Jun →
nuke	5–9	-0.00	8%	24 Jun →
anubis	13–8	-0.03	13%	24 Jun →
inferno	8–8	-0.06	14%	24 Jun →
mirage	13–6	0.02	20%	23 Jun →
dust2	12–12	-0.02	13%	23 Jun →
mirage	13–9	0.08	23%	22 Jun →
mirage	11–13	-0.01	7%	22 Jun →
mirage	13–10	0.03	9%	22 Jun →
mirage	7–13	-0.01	6%	22 Jun →
train	11–13	-0.03	10%	22 Jun →
mirage	12–12	-0.02	13%	21 Jun →
cache	13–11	0.03	29%	20 Jun →
cache	13–10	0.05	21%	19 Jun →
cache	7–13	-0.03	19%	19 Jun →
mirage	1–13	-0.05	20%	19 Jun →
nuke	7–13	0.03	28%	17 Jun →
cache	3–13	0.01	13%	6 Jun →
mirage	6–13	0.09	20%	6 Jun →
cache	12–12	-0.03	11%	6 Jun →
mirage	10–13	-0.04	16%	6 Jun →
overpass	15–15	-0.01	10%	6 Jun →
nuke	13–5	0.05	11%	6 Jun →
inferno	9–4	0.05	15%	6 Jun →
dust2	11–13	0.04	24%	5 Jun →
ancient	16–13	0.00	12%	31 May →
overpass	7–13	-0.02	6%	31 May →
nuke	13–8	-0.05	17%	31 May →