Milan — CS2 Stats

76561198161268476[U:1:201002748]✓ No bans

2,769Tracked matches67%Win rate2020Tracked since

6,098Hours in CS25Hrs last 2 wks

CSDB Rating7.4 StrongAggressive Rifler

Premier CS Rating23,072Top 50% of 819 CSDB-tracked playersPink band · top ~5.1% of ranked players (population est.)

CSDB Leaderboard#2347 of 8505 tracked

FaceitLevel 10Top 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	49.2%	52.8%
Shot accuracy	14.5%	13.7%
Kill/death ratio	0.97	1.08
Match win rate	47.1%	49.2%

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Performance scores

Aim94

Positioning67

Utility46

0–100 skill scores via Leetify.

Recent form

STEADY51–42–7Last 10051%Win rateLWTLLWWWWW

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

Player DNA

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

Aim9.4

Aggression10.0

Utility4.6

Positioning6.7

Opening Duels4.9

Clutch4.4

Sharp aimerStrong 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 sh1ro 95% playstyle similarity

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

Where you differ: lower utility contribution.

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

Aim. Aim score of 94 — the mechanical foundation is a clear strength.

CT openings. 73% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 73% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.4

Positioning6.7

Utility4.6

Mechanics6.0

Opening Duels5.0

Win Impact10.0

Composite 7.4/10 (Strong), 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 rating0.05+0.02

first ⅓ avg 0.02 → last ⅓ avg 0.05

Reaction time496ms−94ms

first ⅓ avg 590ms → last ⅓ avg 496ms

Headshot accuracy29.1%+5.5%

first ⅓ avg 23.6% → last ⅓ avg 29.1%

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 — cache 13–1

13–1Biggest win — mirage

9Longest win streak

6–5In matches decided by ≤2 rounds

5Overtime games

Map breakdown

nukeBest map · 83% over 6anubisWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	25	12–13	48%	0.01
mirage	C	25	11–14	44%	0.03
ancient	A	17	10–7	59%	0.02
cache	B	13	7–6	54%	0.03
inferno	B	6	3–3	50%	0.06
anubis	D	6	2–4	33%	0.00
nuke	S	6	5–1	83%	0.06
train	—	2	1–1	50%	0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

153,516Lifetime kills

0.97K/D

7,996Matches

47.1%Match win rate

49.2%Headshot %

14.5%Shot accuracy · Top 50% of Level 10 players

21,236MVPs

3,753Hours (in match)

6,605Bombs planted

3,058Bombs defused

Most-used weapons

AK-4762,069

AWP22,910

M4A4 / M4A1-S22,806

Desert Eagle12,580

P2000 / USP-S9,316

Glock-184,976

P2502,853

UMP-452,162

MP91,624

Knife1,478

Lifetime map wins

12,952dust2

6,659inferno

3,754nuke

3,046train

2,813cbble

1,645vertigo

98lake

92safehouse

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

Faceit stats

Combat

580Matches

53%Win rate

1.27Avg K/D

77.4ADR

43%Headshot %

Clutches & streaks

42%1v1 clutch win

22%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	69	52%	1.23	16.1
Ancient	52	60%	1.33	17.6
Anubis	46	48%	1.19	15.8
Dust2	28	57%	1.02	15.0
Vertigo	16	50%	1.09	17.2
Nuke	14	50%	1.32	17.6
Cache	10	60%	1.24	15.5
Inferno	8	62%	1.38	18.5

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.

28.5%Headshot accuracy

39.2%Accuracy (enemy spotted)

39.6%Spray accuracy

76.8%Counter-strafing

7.0°Preaim

484msReaction time

27.0%T opening success

72.5%CT opening success

0.58Enemies flashed / flash

5.5%Flash assists

10.91HE damage / grenade

5.21Flashes / 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 27.0046% — 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.

33% win rate across 6 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
dust2	9–13	0.04	25%	28 Aug →
ancient	13–6	-0.08	14%	27 Aug →
cache	12–12	0.08	24%	27 Aug →
mirage	11–13	0.07	39%	27 Aug →
ancient	11–13	0.03	19%	26 Aug →
mirage	8–0	0.10	50%	26 Aug →
mirage	13–5	0.09	33%	26 Aug →
inferno	13–5	0.10	100%	25 Aug →
dust2	13–11	0.04	19%	24 Aug →
cache	13–3	0.12	50%	24 Aug →
mirage	10–13	0.05	32%	24 Aug →
dust2	13–11	0.09	26%	22 Aug →
mirage	13–5	0.05	28%	22 Aug →
ancient	13–11	0.11	18%	22 Aug →
anubis	8–13	-0.06	25%	22 Aug →
dust2	13–11	0.03	39%	21 Aug →
mirage	13–1	0.07	33%	21 Aug →
ancient	13–10	0.07	24%	21 Aug →
mirage	13–8	0.11	15%	19 Aug →
mirage	8–13	0.02	23%	18 Aug →
ancient	15–15	0.05	19%	18 Aug →
dust2	13–9	0.04	21%	18 Aug →
dust2	13–1	0.03	10%	17 Aug →
cache	11–13	-0.01	18%	17 Aug →
dust2	5–13	0.01	19%	17 Aug →
mirage	12–12	0.01	17%	17 Aug →
dust2	13–8	0.05	22%	17 Aug →
mirage	9–13	0.06	63%	17 Aug →
ancient	13–7	0.03	38%	17 Aug →
nuke	13–3	0.05	19%	17 Aug →
ancient	16–12	0.03	20%	16 Aug →
train	13–5	0.03	24%	16 Aug →
inferno	13–5	0.06	33%	16 Aug →
dust2	13–9	0.00	40%	16 Aug →
anubis	3–13	0.03	35%	15 Aug →
dust2	3–13	0.09	40%	15 Aug →
mirage	9–13	0.01	20%	14 Aug →
inferno	11–13	0.08	32%	14 Aug →
dust2	13–10	-0.06	24%	14 Aug →
ancient	13–8	-0.01	44%	14 Aug →
ancient	6–13	0.01	25%	14 Aug →
cache	13–7	-0.02	14%	14 Aug →
anubis	13–8	0.01	11%	14 Aug →
mirage	12–12	0.01	32%	12 Aug →
dust2	0–6	-0.14	17%	9 Aug →
mirage	1–6	0.02	0%	8 Aug →
ancient	13–3	0.05	20%	8 Aug →
inferno	11–13	0.04	18%	8 Aug →
anubis	10–13	0.02	11%	8 Aug →
cache	13–10	-0.04	22%	8 Aug →
ancient	5–13	-0.02	33%	7 Aug →
mirage	9–13	-0.06	23%	7 Aug →
nuke	13–6	0.04	29%	6 Aug →
dust2	1–13	0.03	29%	6 Aug →
mirage	13–4	0.09	25%	6 Aug →
nuke	13–10	0.01	29%	6 Aug →
ancient	5–13	0.02	10%	2 Aug →
dust2	4–13	0.04	22%	2 Aug →
nuke	13–7	0.12	27%	2 Aug →
ancient	13–4	0.06	18%	2 Aug →
cache	0–6	-0.11	33%	1 Aug →
ancient	13–6	0.07	22%	1 Aug →
mirage	13–8	0.10	24%	1 Aug →
mirage	13–10	-0.03	13%	1 Aug →
cache	13–7	0.03	21%	1 Aug →
dust2	13–7	0.00	26%	1 Aug →
dust2	13–6	-0.02	29%	30 Jul →
dust2	9–13	0.07	25%	29 Jul →
cache	12–12	0.11	27%	29 Jul →
mirage	12–12	0.04	30%	29 Jul →
ancient	5–13	0.02	29%	26 Jul →
cache	4–13	-0.04	24%	25 Jul →
mirage	1–13	-0.05	24%	25 Jul →
inferno	9–13	0.04	41%	25 Jul →
inferno	13–6	0.01	39%	25 Jul →
ancient	9–13	-0.02	39%	25 Jul →
mirage	9–13	-0.04	25%	25 Jul →
dust2	4–13	-0.06	21%	25 Jul →
anubis	13–4	0.03	11%	25 Jul →
cache	13–5	0.08	35%	25 Jul →
dust2	13–8	0.09	17%	25 Jul →
mirage	13–11	0.04	14%	25 Jul →
mirage	13–2	0.07	24%	24 Jul →
ancient	13–3	0.00	14%	24 Jul →
dust2	13–6	0.04	21%	24 Jul →
cache	13–1	0.18	39%	24 Jul →
mirage	13–10	0.05	26%	24 Jul →
dust2	9–13	0.01	14%	18 Jul →
cache	13–11	0.08	21%	18 Jul →
mirage	13–16	-0.03	13%	18 Jul →
nuke	13–10	0.07	21%	17 Jul →
dust2	9–13	0.04	20%	12 Jul →
cache	13–16	0.00	13%	12 Jul →
dust2	9–13	-0.03	22%	5 Jul →
anubis	7–13	-0.02	17%	4 Jul →
mirage	15–15	0.00	25%	4 Jul →
dust2	9–13	-0.02	27%	4 Jul →
nuke	8–13	0.05	19%	4 Jul →
dust2	3–13	-0.05	13%	2 Jul →
train	9–13	-0.02	30%	2 Jul →