marcelloN

marcelloN — CS2 Stats

DE76561197997003755[U:1:36738027]Steam profile ↗✓ No bans

811Tracked matches52%Win rate2020Tracked since
CSDB Rating5.9 SolidAll-Rounder
Premier CS Rating16,614Purple band · top ~22% of ranked players (population est.)
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,614 -3,898 7 Jun – 29 Oct · 24 days played
16,61421,878peak 21,8787 Jun29 Oct
22,303Peak Premier in tracked matches
34Days played since 2026-06-07

Premier CS Rating

  • 5,264 below peak (21,878)
  • -939 over 90 days
  • Next: Pink band at 20,000 — 3,386 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-31
  • Blue band first seen 2026-08-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGmarcelloNFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER16,614 · Purple bandcsdb.gg/stats

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

Aim64
Positioning59
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY47–48–5Last 10047%Win rateWLLWWWWLLW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · +5.1pp headshot accuracy · +16ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 658ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 611ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 603ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.4
Utility4.9
Positioning5.9
Opening Duels5.9
Clutch5.2

Limited 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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

s1mple

Plays most like s1mple 86% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 598ms 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

Aim6.4
Positioning5.9
Utility4.9
Mechanics6.4
Opening Duels5.2
Win Impact5.6

Composite 5.9/10 (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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time595ms−7ms
first ⅓ avg 602ms → last ⅓ avg 595ms
Headshot accuracy22.1%−1.8%
first ⅓ avg 24.0% → last ⅓ avg 22.1%

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.

Personal bests

0.16Best match rating · 6–0 · overpass, 4 Jul →
50%Best headshot accuracy · 0–6 · mirage, 4 Jul →
297msFastest reaction time · 0–6 · mirage, 4 Jul →
13–2Biggest win · dust2, 31 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–6In matches decided by ≤2 rounds
14Overtime games

Map breakdown

dust2Best map · 69% over 13mirageWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB2814–1450%0.02
ancientC208–1240%0.02
dust2S139–469%0.02
nukeD124–833%0.02
cacheS96–367%0.04
overpassC73–443%0.03
anubisD62–433%-0.03
mirageD51–420%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 5). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

316Matches
53%Win rate
1.00Avg K/D
82.8ADR
51%Headshot %

Clutches & streaks

46%1v1 clutch win
48%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno1377%1.6219.6
Dust21155%1.0416.4
Anubis617%0.9718.2
Ancient450%1.7616.8
Cache367%1.8221.3
Overpass10%1.1925.0

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.

22.5%Headshot accuracy
31.9%Accuracy (enemy spotted)
30.8%Spray accuracy
78.6%Counter-strafing
10.0°Preaim
598msReaction time
43.6%T opening success
57.9%CT opening success
0.52Enemies flashed / flash
5.9%Flash assists
8.29HE damage / grenade
3.07Flashes / 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.

  1. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.0706 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–90.0116%29 Oct →
dust29–13-0.0131%24 Oct →
inferno7–13-0.0234%18 Sept →
dust213–20.0314%31 Aug →
cache13–100.0425%31 Aug →
ancient13–5-0.0337%6 Aug →
cache13–30.0124%6 Aug →
cache5–13-0.0823%5 Aug →
mirage4–13-0.0530%5 Aug →
anubis13–110.0126%4 Aug →
inferno6–13-0.0114%2 Aug →
cache13–110.1118%2 Aug →
inferno13–10-0.0621%2 Aug →
ancient2–13-0.0221%24 Jul →
cache13–10-0.0019%24 Jul →
dust213–90.0930%24 Jul →
cache13–70.0317%20 Jul →
inferno14–16-0.0116%20 Jul →
anubis11–130.0027%20 Jul →
nuke7–13-0.0428%20 Jul →
dust213–7-0.0426%16 Jul →
inferno7–130.0023%15 Jul →
ancient13–60.0112%15 Jul →
cache6–130.0318%15 Jul →
ancient13–80.0317%15 Jul →
ancient5–13-0.0126%13 Jul →
cache13–60.1220%13 Jul →
ancient11–13-0.0215%13 Jul →
anubis11–13-0.0114%9 Jul →
ancient12–120.0834%7 Jul →
cache7–130.0715%7 Jul →
inferno16–140.0218%6 Jul →
ancient15–150.0219%6 Jul →
anubis7–13-0.0410%4 Jul →
overpass9–13-0.0316%4 Jul →
overpass6–00.1615%4 Jul →
ancient13–90.1120%4 Jul →
mirage0–6-0.1050%4 Jul →
dust215–150.0514%3 Jul →
inferno13–40.0814%3 Jul →
nuke10–130.0025%3 Jul →
nuke13–50.1229%3 Jul →
ancient10–130.0629%3 Jul →
ancient15–150.0719%3 Jul →
inferno13–16-0.0115%3 Jul →
dust213–70.0018%2 Jul →
mirage13–6-0.0427%2 Jul →
anubis2–13-0.1517%2 Jul →
inferno11–13-0.0318%1 Jul →
dust29–13-0.0419%1 Jul →
mirage7–13-0.0512%30 Jun →
inferno13–80.0236%30 Jun →
dust213–10-0.0514%30 Jun →
inferno13–7-0.0017%30 Jun →
ancient16–13-0.0222%29 Jun →
inferno10–130.0221%28 Jun →
nuke2–13-0.0316%28 Jun →
inferno9–130.0222%26 Jun →
nuke13–60.0520%26 Jun →
ancient13–60.1125%26 Jun →
dust29–130.0012%26 Jun →
inferno13–110.0111%26 Jun →
inferno13–70.0524%26 Jun →
mirage7–130.0122%22 Jun →
nuke13–9-0.0213%21 Jun →
ancient13–20.0212%21 Jun →
inferno10–13-0.0323%17 Jun →
ancient8–13-0.0328%17 Jun →
overpass5–13-0.0333%17 Jun →
nuke5–130.0410%17 Jun →
dust213–110.0322%17 Jun →
inferno8–13-0.0034%17 Jun →
ancient12–16-0.0221%15 Jun →
dust213–70.0822%15 Jun →
ancient10–130.0830%15 Jun →
nuke6–13-0.049%15 Jun →
inferno12–160.0725%14 Jun →
overpass13–110.0718%14 Jun →
inferno13–90.1137%14 Jun →
inferno13–60.1131%14 Jun →
overpass13–30.1418%13 Jun →
overpass6–13-0.0518%11 Jun →
inferno13–6-0.0137%11 Jun →
overpass9–13-0.0323%11 Jun →
ancient14–160.0316%11 Jun →
inferno15–150.0628%11 Jun →
inferno13–110.0623%11 Jun →
inferno13–100.0421%10 Jun →
nuke13–90.0827%10 Jun →
inferno8–130.0225%8 Jun →
dust213–80.0932%8 Jun →
anubis16–140.0234%8 Jun →
inferno16–14-0.0333%8 Jun →
nuke12–16-0.0421%7 Jun →
nuke9–130.1228%7 Jun →
inferno6–130.0118%7 Jun →
ancient6–13-0.0515%7 Jun →
ancient13–80.0025%7 Jun →
inferno13–5-0.0113%7 Jun →
nuke10–130.0117%7 Jun →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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