pino — CS2 Stats

US76561198359347359[U:1:399081631]Steam profile ↗✓ No bans

1,645Tracked matches54%Win rate2020Tracked since

1,341Hours in CS

CSDB Rating5.9 SolidHybrid Rifler

Premier CS Rating21,568Top 50% of 29,473 CSDB-tracked playersPink band · top ~6.8% of ranked players (population est.)

CSDB Leaderboard#12755 of 41627 tracked

FaceitLevel 10 · 2,315 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=4,917), 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	67.5%	51.9%
Shot accuracy	15.5%	13.7%
Kill/death ratio	2.09	1.08
Match win rate	50.2%	48.7%

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Performance scores

Aim74

Positioning50

Utility49

0–100 skill scores via Leetify.

Recent form

HOT53–43–4Last 10053%Win rateWWWLWLWWLW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating

Player DNA

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

Aim7.4

Aggression4.7

Utility4.9

Positioning5.0

Opening Duels2.1

Clutch2.8

Effective 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 88% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.4

Positioning5.0

Utility4.9

Mechanics6.5

Opening Duels2.1

Win Impact6.2

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+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time551ms−41ms

first ⅓ avg 592ms → last ⅓ avg 551ms

Headshot accuracy18.6%−1.1%

first ⅓ avg 19.7% → last ⅓ avg 18.6%

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

0.19Best rating — mirage 2–0

13–0Biggest win — nuke

7Longest win streak

W3Current streak

8–3In matches decided by ≤2 rounds

6Overtime games

Map breakdown

nukeBest map · 83% over 6infernoWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	38	21–17	55%	0.02
dust2	A	17	10–7	59%	0.01
cache	A	14	8–6	57%	0.01
anubis	C	10	4–6	40%	0.01
inferno	D	7	2–5	29%	0.02
nuke	S	6	5–1	83%	0.05
overpass	C	5	2–3	40%	-0.01
ancient	—	2	1–1	50%	0.03
alpine	—	1	0–1	0%	0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

128,598Lifetime kills

2.09K/D · Top 5% of Level 10 players

3,063Matches

50.2%Match win rate · Top 50% of Level 10 players

67.5%Headshot % · Top 10% of Level 10 players

15.5%Shot accuracy · Top 50% of Level 10 players

8,052MVPs

1,341Hours (in match)

3,492Bombs planted

762Bombs defused

Most-used weapons

AK-4741,854

M4A4 / M4A1-S15,778

P2000 / USP-S9,807

AWP6,330

SSG 085,980

Galil AR5,764

Desert Eagle5,382

Glock-183,898

SG 5533,789

P2503,564

Lifetime map wins

4,243dust2

2,565inferno

1,374nuke

343train

241vertigo

132office

56lake

42cbble

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

Faceit stats

Combat

416Matches

55%Win rate

1.13Avg K/D

81.4ADR

47%Headshot %

Clutches & streaks

34%1v1 clutch win

23%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	124	55%	1.12	16.0
Dust2	43	47%	1.15	18.4
Anubis	43	67%	1.16	16.4
Ancient	32	53%	1.05	16.1
Inferno	26	50%	1.30	17.0
Nuke	9	67%	1.12	16.7
Overpass	8	62%	1.34	19.5
Cache	7	57%	1.20	18.7

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.

18.3%Headshot accuracy

36.9%Accuracy (enemy spotted)

38.4%Spray accuracy

79.3%Counter-strafing

11.1°Preaim

546msReaction time

32.2%T opening success

45.0%CT opening success

0.71Enemies flashed / flash

5.3%Flash assists

5.94HE damage / grenade

7.42Flashes / 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 32.1971% — 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 7 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
anubis	13–6	0.03	13%	30 Aug →
cache	13–1	0.10	15%	30 Aug →
mirage	13–5	-0.01	11%	24 Aug →
inferno	11–13	0.06	36%	24 Aug →
dust2	13–6	-0.01	18%	24 Aug →
inferno	0–7	-0.08	0%	24 Aug →
mirage	13–9	0.02	15%	17 Aug →
anubis	13–2	0.15	12%	17 Aug →
inferno	14–16	-0.05	10%	17 Aug →
mirage	13–5	0.08	17%	16 Aug →
mirage	16–14	0.00	15%	9 Aug →
anubis	8–13	0.02	17%	9 Aug →
mirage	9–13	-0.03	23%	9 Aug →
dust2	5–13	-0.08	22%	8 Aug →
anubis	10–13	-0.02	13%	30 Jul →
mirage	13–11	0.03	22%	24 Jul →
cache	13–1	0.04	26%	24 Jul →
cache	10–13	0.05	20%	24 Jul →
dust2	14–16	0.01	25%	24 Jul →
mirage	9–13	0.06	25%	22 Jul →
anubis	10–13	-0.04	17%	20 Jul →
mirage	16–13	0.05	14%	13 Jul →
mirage	15–15	0.03	19%	11 Jul →
inferno	13–3	0.07	14%	11 Jul →
cache	13–6	-0.09	21%	3 Jul →
nuke	4–13	0.01	16%	3 Jul →
mirage	12–12	0.08	16%	3 Jul →
mirage	2–0	0.19	40%	3 Jul →
mirage	13–7	0.02	19%	3 Jul →
mirage	10–13	-0.01	24%	3 Jul →
overpass	10–13	-0.01	23%	29 Jun →
mirage	5–13	0.02	25%	28 Jun →
overpass	13–7	-0.01	12%	28 Jun →
dust2	13–7	0.07	26%	27 Jun →
anubis	13–7	0.00	21%	27 Jun →
mirage	9–13	0.02	20%	27 Jun →
nuke	13–4	0.06	12%	27 Jun →
inferno	7–3	0.03	12%	24 Jun →
mirage	13–4	0.03	5%	24 Jun →
mirage	6–13	0.01	10%	23 Jun →
dust2	3–13	-0.06	17%	23 Jun →
mirage	9–13	-0.02	20%	22 Jun →
cache	7–13	-0.03	13%	21 Jun →
dust2	13–9	-0.03	27%	21 Jun →
mirage	13–7	-0.00	19%	18 Jun →
ancient	13–5	0.09	15%	18 Jun →
inferno	12–12	0.12	25%	18 Jun →
nuke	13–9	0.01	15%	10 Jun →
cache	13–11	-0.01	29%	10 Jun →
alpine	6–13	0.00	19%	10 Jun →
mirage	4–13	0.01	24%	10 Jun →
ancient	3–13	-0.04	18%	7 Jun →
nuke	13–6	0.02	14%	7 Jun →
cache	1–7	-0.00	17%	7 Jun →
mirage	7–13	0.04	27%	7 Jun →
nuke	13–0	0.07	15%	7 Jun →
cache	13–7	0.05	12%	7 Jun →
mirage	3–13	-0.04	10%	7 Jun →
nuke	13–11	0.13	25%	6 Jun →
overpass	13–10	0.02	23%	6 Jun →
cache	8–13	-0.05	27%	6 Jun →
dust2	9–13	-0.03	19%	6 Jun →
anubis	9–13	0.03	18%	6 Jun →
dust2	13–3	0.05	20%	6 Jun →
cache	12–12	0.03	23%	4 Jun →
dust2	8–13	0.01	15%	4 Jun →
mirage	13–10	0.04	15%	3 Jun →
mirage	13–10	0.03	19%	3 Jun →
mirage	13–10	-0.05	15%	31 May →
mirage	7–13	-0.07	21%	31 May →
anubis	2–6	-0.04	29%	30 May →
mirage	13–8	-0.02	29%	30 May →
mirage	13–10	0.04	19%	30 May →
anubis	13–7	0.04	27%	29 May →
dust2	13–6	0.08	21%	29 May →
dust2	13–4	0.01	23%	29 May →
cache	13–5	0.07	25%	29 May →
dust2	13–11	-0.03	23%	29 May →
mirage	5–13	0.01	16%	29 May →
mirage	6–13	-0.06	20%	28 May →
mirage	8–13	0.06	14%	28 May →
mirage	13–11	0.03	17%	27 May →
mirage	13–7	0.10	11%	27 May →
dust2	8–13	-0.01	19%	22 May →
mirage	13–7	-0.03	18%	22 May →
anubis	6–13	-0.02	14%	22 May →
overpass	6–13	-0.05	18%	18 May →
inferno	8–13	0.02	22%	18 May →
dust2	13–10	0.00	20%	18 May →
dust2	6–13	0.04	18%	18 May →
mirage	16–12	0.01	12%	18 May →
overpass	2–6	-0.02	17%	17 May →
cache	13–11	-0.02	25%	17 May →
cache	13–6	0.04	9%	16 May →
cache	10–13	-0.02	26%	13 May →
mirage	4–13	-0.02	21%	13 May →
dust2	13–8	0.03	23%	12 May →
mirage	13–10	0.06	24%	11 May →
dust2	13–6	0.15	16%	10 May →
mirage	13–8	0.02	21%	10 May →