marlo

marlo — CS2 Stats

MN76561199442989788[U:1:1482724060]Steam profile ↗✓ No bans

981Tracked matches52%Win rate2023Tracked since
983Hours in CS
CSDB Rating5.6 SolidPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Sep 2026 (54 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 981 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 13,102 -3,558 25 May – 28 Jun · 11 days played
12,73216,660peak 16,66025 May28 Jun
16,660Peak Premier in tracked matches
57Days played since 2025-04-04

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

Performance scores

Aim67
Positioning58
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY48–47–5Last 10048%Win rateLWWLWWWLLW

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · −6.4pp headshot accuracy · +37ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 625ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 636ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 617ms

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: Positional Player — Positioning stands above the rest of this profile (+1.5 against its own average).

Aim6.7
Utility3.9
Positioning5.8
Opening Duels3.7
Clutch3.8

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

m0NESY

Plays most like m0NESY 90% playstyle similarity

Most alike: positioning profile, opening-duel success.

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 →

Strengths & areas to improve

Areas to improve

Reaction time. 644ms 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

Aim6.7
Positioning5.8
Utility3.9
Mechanics6.8
Opening Duels2.7
Win Impact5.6

Composite 5.6/10 (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 rating0.00+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time642ms−16ms
first ⅓ avg 658ms → last ⅓ avg 642ms
Headshot accuracy21.1%−0.6%
first ⅓ avg 21.7% → last ⅓ avg 21.1%

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

0.14Best match rating · 13–7 · dust2, 22 Jun →
46%Best headshot accuracy · 5–13 · mirage, 28 Jun →
430msFastest reaction time · 13–0 · vertigo, 10 Jun →
13–0Biggest win · vertigo, 10 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–4In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 56% over 9ancientWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B3820–1853%-0.00
ancientD103–730%-0.02
anubisA95–456%0.00
mirageC94–544%-0.02
nukeB84–450%0.01
overpassC73–443%0.00
infernoD62–433%-0.00
cache—40–40%0.01
vertigo—21–150%-0.00
warden—22–0100%-0.01
alpine—11–0100%-0.01
agency—10–10%-0.03
jura—11–0100%0.04
grail—11–0100%0.06
train—11–0100%-0.08

Across the last 100 tracked matches.

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

Lifetime stats

42,836Lifetime kills
0.93K/D
1,532Matches
46.9%Match win rate · Top 50% of tracked players
60.2%Headshot % · Top 5% of tracked players
3.7%Shot accuracy
3,252MVPs
983Hours (in match)
1,877Bombs planted
412Bombs defused

Most-used weapons

Lifetime map wins

5,228dust2
1,169inferno
1,085nuke
918vertigo
191train
30cbble
9italy
6office

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

Faceit stats

Combat

544Matches
49%Win rate
1.17Avg K/D
78.8ADR
47%Headshot %

Clutches & streaks

39%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Anubis11859%1.2917.3
Dust210647%1.1616.5
Mirage8842%1.1115.8
Ancient5746%1.1417.2
Inferno4641%1.0614.7
Nuke3653%1.0214.5
Vertigo2055%1.2316.1
Train757%1.2516.0

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.

21.2%Headshot accuracy
33.0%Accuracy (enemy spotted)
35.2%Spray accuracy
80.7%Counter-strafing
9.2°Preaim
644msReaction time
36.8%T opening success
45.1%CT opening success
0.58Enemies flashed / flash
8.6%Flash assists
7.53HE damage / grenade
6.86Flashes / 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. 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 36.7755% — below the 40% mark we flag

Spend your practice time on Ancient

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.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust21–9-0.0628%26 Aug →
dust213–80.0419%12 Jul →
nuke13–100.0118%28 Jun →
vertigo10–130.0110%23 Jun →
dust213–70.1428%22 Jun →
warden13–80.0310%22 Jun →
alpine12–0-0.0125%22 Jun →
ancient3–130.0613%22 Jun →
ancient5–13-0.0310%20 Jun →
warden13–8-0.0615%20 Jun →
dust212–12-0.0331%19 Jun →
vertigo13–0-0.0114%10 Jun →
dust213–20.0721%10 Jun →
cache1–130.0322%8 Jun →
nuke9–130.0819%3 Jun →
anubis13–60.0320%2 Jun →
nuke16–120.0330%1 Jun →
nuke8–130.0118%1 Jun →
ancient8–13-0.0621%31 May →
anubis11–13-0.0043%31 May →
dust21–13-0.0129%29 May →
nuke3–13-0.0317%27 May →
inferno11–13-0.0230%26 May →
dust29–13-0.0329%26 May →
dust213–10-0.0023%25 May →
mirage13–90.0423%25 May →
ancient9–13-0.0211%25 May →
overpass13–50.0131%25 May →
dust213–1-0.004%25 May →
nuke13–9-0.0115%25 May →
dust213–6-0.0419%25 May →
inferno13–11-0.0129%25 May →
inferno11–13-0.0421%24 May →
dust22–13-0.1016%24 May →
overpass13–30.1221%24 May →
anubis13–60.0114%24 May →
ancient2–13-0.0519%24 May →
anubis13–10-0.0125%24 May →
dust29–13-0.0325%24 May →
dust22–130.0233%24 May →
cache9–130.0632%4 May →
overpass4–13-0.0423%4 May →
cache8–13-0.0220%29 Apr →
cache3–13-0.0319%28 Apr →
mirage3–13-0.0527%28 Apr →
mirage13–11-0.029%16 Jan →
ancient13–60.0116%16 Jan →
ancient13–1-0.0235%15 Jan →
dust213–6-0.0220%23 Dec →
overpass8–13-0.0225%22 Dec →
mirage7–13-0.0222%22 Dec →
dust23–13-0.0623%19 Dec →
dust22–9-0.130%9 Dec →
dust213–7-0.0425%8 Dec →
dust213–100.0227%6 Dec →
overpass5–13-0.0510%22 Nov →
mirage13–8-0.0436%22 Nov →
inferno10–130.0316%3 Nov →
nuke13–60.0224%3 Nov →
dust213–70.0223%3 Nov →
dust28–13-0.0632%24 Oct →
overpass16–14-0.0324%27 Sept →
dust26–13-0.0326%11 Sept →
dust216–130.0330%13 Aug →
dust210–6-0.0710%15 Jul →
dust210–13-0.0025%9 Jul →
dust212–12-0.0514%28 Jun →
mirage5–13-0.0246%28 Jun →
mirage7–13-0.0536%11 Jun →
anubis13–16-0.0212%14 May →
dust213–50.0423%13 May →
inferno13–90.0021%11 May →
agency6–13-0.0327%8 May →
dust213–00.0319%8 May →
jura8–10.0436%8 May →
grail13–100.0627%8 May →
inferno9–130.0019%28 Apr →
anubis6–13-0.0216%24 Apr →
mirage13–60.0016%23 Apr →
dust213–8-0.0415%23 Apr →
anubis13–30.0619%22 Apr →
dust213–40.0817%16 Apr →
dust213–80.029%16 Apr →
nuke6–13-0.0117%13 Apr →
mirage8–13-0.0618%12 Apr →
dust212–12-0.0515%11 Apr →
anubis10–13-0.0616%11 Apr →
ancient15–15-0.0515%10 Apr →
dust213–2-0.0536%9 Apr →
ancient5–13-0.0119%8 Apr →
dust211–130.1027%8 Apr →
anubis22–180.0112%6 Apr →
train13–11-0.0813%6 Apr →
overpass12–120.0117%6 Apr →
dust26–130.0230%6 Apr →
dust213–30.0734%6 Apr →
dust29–130.0322%5 Apr →
dust213–30.0436%5 Apr →
ancient16–12-0.0312%5 Apr →
dust27–130.0421%4 Apr →

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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