Malé

Malé — CS2 Stats

HU76561198050181307[U:1:89915579]Steam profile ↗✓ No bans

827Tracked matches62%Win rate2021Tracked since
1,784Hours in CS11Hrs last 2 wks
CSDB Rating7.9 StrongSupport
Premier CS Rating18,220Purple band · top ~15.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (2 days ago). 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: 18,220 -2,209 18 Aug – 3 Nov · 25 days played
16,42220,953peak 20,95318 Aug3 Nov
20,953Peak Premier in tracked matches
25Days played since 2026-08-18

Premier CS Rating

  • 2,733 below peak (20,953)
  • +801 over 30 days · improving
  • -2,209 over 90 days
  • Next: Pink band at 20,000 — 1,780 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate41.2%44.4%46.9%5.7% short
Shot accuracy6.4%11.9%13.0%6.6% short
Kill/death ratio0.931.031.080.15 short
Match win rate40.1%45.2%46.7%6.5% short

This profile sits below the typical Pink band player on every metric we can compare.

Widest gap: Shot accuracy. 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

CSDB.GGMaléPREMIER18,220 · Purple bandcsdb.gg/stats

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Performance scores

Aim83
Positioning74
Utility77

0–100 skill scores via Leetify.

Recent form

COLD51–48–1Last 10051%Win rateWWTWLLLLLL

Last 10 vs previous 10: −50pp win rate · +0.00 avg rating · +0.0pp headshot accuracy · +38ms reaction

Win rate down 50pp 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 12%
  • Avg reaction 494ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 14%
  • Avg reaction 519ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 14%
  • Avg reaction 500ms

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: Support — Utility contribution stands above the rest of this profile (+1.9 against its own average).

Aim8.3
Utility7.7
Positioning7.4
Opening Duels5.8
Clutch2.2

High utility contribution

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 83% playstyle similarity

Most alike: positioning profile, utility contribution.

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

T openings. 61% T opening-duel success — entries that actually open the round.

Utility. Utility score of 77 — grenade impact well above the norm.

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

Aim8.3
Positioning7.4
Utility7.7
Mechanics7.4
Opening Duels7.5
Win Impact9.0

Composite 7.9/10 (Strong), 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 time508ms−23ms
first ⅓ avg 531ms → last ⅓ avg 508ms
Headshot accuracy14.3%−2.3%
first ⅓ avg 16.6% → last ⅓ avg 14.3%

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

0.19Best match rating · 13–11 · inferno, 20 Aug →
30%Best headshot accuracy · 13–10 · inferno, 9 Oct →
313msFastest reaction time · 3–9 · vertigo, 8 Oct →
13–2Biggest win · mirage, 3 Oct →

Across the last 100 tracked matches.

Highlights

10Longest win streak
W2Current streak
11–6In matches decided by ≤2 rounds
16Overtime games

Map breakdown

ancientBest map · 58% over 19anubisWeakest map · 33% over 18
MapGradePlayedRecordWin rateAvg rating
ancientA1911–858%0.03
infernoA1911–858%0.02
anubisD186–1233%0.03
nukeB168–850%0.02
mirageA127–558%0.02
dust2B126–650%0.03
cache—32–167%0.01
vertigo—10–10%-0.13

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

53,216Lifetime kills
0.93K/D
2,740Matches
40.1%Match win rate
41.2%Headshot %
6.4%Shot accuracy
5,712MVPs
1,206Hours (in match)
3,105Bombs planted
559Bombs defused

Most-used weapons

AK-4717,963
AWP5,815
MAC-101,326
MP91,139
P901,021

Lifetime map wins

3,715inferno
3,568dust2
2,171nuke
1,069vertigo
428train
323office
49italy
18assault

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

Faceit stats

Combat

77Matches
56%Win rate
1.24Avg K/D
91.4ADR
42%Headshot %

Clutches & streaks

31%1v1 clutch win
26%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2370%1.3216.7
Dust21533%0.8713.7
Ancient1136%1.2217.6
Nuke743%0.9315.4
Inferno771%1.7918.3
Anubis667%1.6620.5
Overpass475%1.1515.0
Cache475%1.3213.8

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.

14.5%Headshot accuracy
39.0%Accuracy (enemy spotted)
38.3%Spray accuracy
83.2%Counter-strafing
8.4°Preaim
512msReaction time
61.4%T opening success
58.6%CT opening success
0.67Enemies flashed / flash
11.9%Flash assists
8.98HE damage / grenade
18.93Flashes / 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. 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 14.4928% — below the 15% mark we flag

    Aim Training →
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 18 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–110.0915%3 Nov →
ancient13–40.056%3 Nov →
ancient15–150.0513%1 Nov →
mirage13–90.0512%1 Nov →
ancient8–130.0713%1 Nov →
nuke13–160.0324%29 Oct →
dust26–130.0621%29 Oct →
anubis9–130.0516%29 Oct →
anubis2–13-0.038%27 Oct →
mirage9–130.0112%26 Oct →
ancient8–130.0210%26 Oct →
nuke16–130.1013%26 Oct →
anubis13–160.0516%20 Oct →
nuke13–9-0.0512%20 Oct →
ancient13–100.0311%20 Oct →
cache13–50.0616%20 Oct →
mirage16–140.0117%15 Oct →
ancient13–30.0918%15 Oct →
ancient13–100.0112%15 Oct →
mirage13–80.0815%15 Oct →
cache13–7-0.047%15 Oct →
anubis13–30.0911%9 Oct →
inferno13–100.0230%9 Oct →
nuke6–13-0.046%9 Oct →
dust216–120.0422%9 Oct →
nuke13–60.0716%8 Oct →
dust213–50.0617%8 Oct →
dust213–11-0.0112%8 Oct →
ancient11–130.0214%8 Oct →
anubis8–130.039%8 Oct →
inferno2–13-0.0618%8 Oct →
ancient5–13-0.0615%8 Oct →
inferno9–50.0616%8 Oct →
vertigo3–9-0.134%8 Oct →
inferno13–100.0218%7 Oct →
dust213–160.0615%7 Oct →
nuke13–8-0.019%7 Oct →
ancient4–130.0413%7 Oct →
anubis3–13-0.087%7 Oct →
dust214–160.046%4 Oct →
inferno8–13-0.0115%4 Oct →
mirage13–100.0419%4 Oct →
ancient14–160.028%4 Oct →
mirage13–20.065%3 Oct →
dust28–13-0.0214%3 Oct →
inferno13–100.0113%3 Oct →
anubis10–130.0213%3 Oct →
ancient13–110.0510%3 Oct →
mirage7–130.0413%3 Oct →
inferno13–110.1014%3 Oct →
dust22–13-0.034%3 Oct →
mirage13–2-0.017%28 Sept →
dust213–80.1113%28 Sept →
anubis13–20.0920%28 Sept →
inferno6–13-0.0310%28 Sept →
nuke8–130.0711%27 Sept →
mirage10–13-0.0111%27 Sept →
inferno13–60.0621%27 Sept →
anubis13–100.1018%27 Sept →
inferno9–130.0526%24 Sept →
nuke13–110.0223%24 Sept →
anubis10–13-0.0116%24 Sept →
ancient16–120.0819%24 Sept →
mirage16–140.0212%24 Sept →
anubis13–70.1115%20 Sept →
dust213–80.0018%20 Sept →
nuke6–130.0619%20 Sept →
inferno13–80.0619%17 Sept →
anubis8–13-0.0112%17 Sept →
mirage11–13-0.0111%11 Sept →
dust25–13-0.0523%11 Sept →
anubis7–13-0.0120%11 Sept →
ancient7–130.0221%11 Sept →
inferno13–90.0411%11 Sept →
ancient13–11-0.0115%11 Sept →
inferno14–160.0317%6 Sept →
nuke14–160.0220%6 Sept →
inferno13–7-0.0517%6 Sept →
nuke6–13-0.0310%6 Sept →
cache5–130.0117%6 Sept →
anubis13–80.0521%1 Sept →
dust213–110.0816%1 Sept →
ancient13–10-0.0311%1 Sept →
nuke13–2-0.0116%30 Aug →
anubis8–130.0217%30 Aug →
inferno8–13-0.0123%30 Aug →
ancient16–120.0720%30 Aug →
ancient16–140.0614%29 Aug →
anubis13–40.0717%29 Aug →
inferno13–40.0422%29 Aug →
mirage3–13-0.0114%29 Aug →
nuke13–160.0417%20 Aug →
inferno13–110.1921%20 Aug →
anubis5–130.0213%20 Aug →
nuke9–13-0.0128%19 Aug →
ancient13–10-0.0016%19 Aug →
nuke13–9-0.0116%19 Aug →
inferno5–13-0.1115%19 Aug →
anubis4–13-0.0216%18 Aug →
inferno4–13-0.093%18 Aug →

Match data via Leetify.

Recent teammates

Milestones

500 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.