blackmoustache

blackmoustache — CS2 Stats

AT76561198116918400[U:1:156652672]Steam profile ↗✓ No bans

685Tracked matches46%Win rate2023Tracked since
CSDB Rating7.5 StrongAll-Rounder
Premier CS Rating23,969Top 25% of 204,097 CSDB-tracked playersPink band · top ~4.1% of ranked players (population est.)
CSDB Leaderboard#31391 of 251169 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Oct 2026 (3 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: 23,969 -563 16 Jun – 7 Oct · 13 days played
21,24824,532peak 24,53216 Jun7 Oct
24,532Peak Premier in tracked matches
32Days played since 2026-06-11

Premier CS Rating

  • 563 below peak (24,532)
  • +1,884 over 30 days · improving
  • Next: Red band at 25,000 — 1,031 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-05
  • Purple band first seen 2026-09-05

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

Share this profile

CSDB.GGblackmoustachePREMIER23,969 · Pink bandcsdb.gg/stats

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Performance scores

Aim93
Positioning73
Utility61

0–100 skill scores via Leetify.

Recent form

COLD48–48–4Last 10048%Win rateLTLWLWLLLL

Last 10 vs previous 10: −40pp win rate · −0.04 avg rating · +3.7pp headshot accuracy · +12ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 26%
  • Avg reaction 524ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 27%
  • Avg reaction 499ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 25%
  • Avg reaction 493ms

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.

Aim9.3
Utility6.1
Positioning7.3
Opening Duels6.2

Sharp aimerEffective flashes

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

jL

Plays most like jL 97% playstyle similarity

Most alike: aim profile, opening-duel success.

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 93 — the mechanical foundation is a clear strength.

Areas to improve

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

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

Aim9.3
Positioning7.3
Utility6.1
Mechanics7.8
Opening Duels6.0
Win Impact3.8

Composite 7.5/10 (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 rating0.06+0.02
first ⅓ avg 0.03 → last ⅓ avg 0.06
Reaction time486ms−84ms
first ⅓ avg 571ms → last ⅓ avg 486ms
Headshot accuracy26.1%+0.8%
first ⅓ avg 25.3% → last ⅓ avg 26.1%

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

0.27Best match rating · 13–3 · dust2, 14 Jul →
48%Best headshot accuracy · 13–4 · mirage, 3 Jul →
375msFastest reaction time · 13–5 · inferno, 23 Sept →
13–0Biggest win · dust2, 18 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–3In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 65% over 17vertigoWeakest map · 33% over 18
MapGradePlayedRecordWin rateAvg rating
vertigoD186–1233%0.02
cacheS1711–665%0.01
infernoB157–847%0.09
anubisB115–645%0.07
dust2A106–460%0.04
ancientD93–633%0.06
mirageA95–456%0.01
trainB63–350%0.01
nukeC52–340%0.04

Across the last 100 tracked matches.

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

26.1%Headshot accuracy
41.2%Accuracy (enemy spotted)
41.8%Spray accuracy
84.9%Counter-strafing
9.9°Preaim
491msReaction time
55.6%T opening success
52.1%CT opening success
0.70Enemies flashed / flash
8.5%Flash assists
11.32HE damage / grenade
8.99Flashes / match

Recommended for you

Spend your practice time on Vertigo

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.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust24–13-0.0128%7 Oct →
vertigo12–12-0.0226%7 Oct →
vertigo11–130.1026%7 Oct →
inferno13–40.1437%3 Oct →
ancient10–130.0414%3 Oct →
nuke13–90.0522%29 Sept →
inferno8–130.0135%28 Sept →
nuke4–13-0.0026%28 Sept →
inferno11–130.1232%28 Sept →
dust210–130.0224%28 Sept →
anubis13–30.1421%28 Sept →
mirage8–130.0315%26 Sept →
mirage13–3-0.0110%26 Sept →
inferno13–60.1628%26 Sept →
nuke10–130.0523%26 Sept →
inferno8–130.1032%25 Sept →
anubis13–110.0516%25 Sept →
inferno13–90.1227%25 Sept →
inferno8–130.0022%23 Sept →
inferno13–50.1539%23 Sept →
mirage13–110.0331%23 Sept →
nuke13–40.1530%23 Sept →
cache15–150.0228%18 Sept →
ancient6–130.0722%17 Sept →
inferno13–70.1432%17 Sept →
vertigo13–100.0034%15 Sept →
vertigo5–13-0.0124%15 Sept →
vertigo4–130.0128%15 Sept →
dust29–130.0029%5 Sept →
ancient8–00.0423%5 Sept →
anubis11–130.0826%5 Sept →
cache13–60.1124%5 Sept →
inferno13–40.0633%5 Sept →
inferno13–160.1922%5 Sept →
inferno6–130.0823%5 Sept →
inferno6–130.0319%4 Sept →
anubis15–150.0522%4 Sept →
ancient16–120.0736%2 Sept →
anubis13–80.0822%2 Sept →
ancient8–130.1518%2 Sept →
nuke2–13-0.0622%2 Sept →
anubis13–100.0620%2 Sept →
cache8–13-0.0321%2 Sept →
cache9–13-0.0634%26 Aug →
vertigo8–13-0.1013%26 Aug →
anubis16–14-0.0022%22 Aug →
cache13–100.0621%22 Aug →
cache13–8-0.0116%21 Aug →
vertigo5–130.0429%21 Aug →
dust213–80.0726%18 Aug →
dust213–00.0447%18 Aug →
ancient13–00.0626%18 Aug →
vertigo13–70.0433%18 Aug →
vertigo0–3-0.070%18 Aug →
train13–9-0.0126%18 Aug →
ancient5–130.0525%29 Jul →
dust26–13-0.0116%29 Jul →
anubis2–130.0522%29 Jul →
inferno13–7-0.0314%29 Jul →
cache13–5-0.0043%28 Jul →
cache3–130.0731%28 Jul →
train13–20.0233%28 Jul →
cache13–60.0126%28 Jul →
ancient15–150.0720%28 Jul →
train8–13-0.0129%28 Jul →
cache13–10-0.0024%27 Jul →
train5–130.0124%27 Jul →
vertigo4–130.1019%26 Jul →
vertigo8–13-0.0128%26 Jul →
vertigo0–13-0.0327%26 Jul →
anubis7–130.1121%21 Jul →
vertigo13–100.0120%21 Jul →
cache13–10.0241%21 Jul →
dust213–30.2726%14 Jul →
anubis10–130.0833%14 Jul →
ancient8–13-0.0116%14 Jul →
cache13–100.1122%14 Jul →
dust213–90.0921%14 Jul →
inferno8–130.1421%14 Jul →
anubis5–130.0919%14 Jul →
cache13–9-0.0128%14 Jul →
vertigo4–13-0.0124%9 Jul →
cache9–13-0.0624%8 Jul →
vertigo13–50.0527%8 Jul →
vertigo13–80.1133%3 Jul →
vertigo6–130.0124%3 Jul →
mirage13–40.0548%3 Jul →
mirage10–13-0.0233%1 Jul →
mirage13–10.0626%1 Jul →
cache3–13-0.0323%1 Jul →
mirage13–5-0.1123%28 Jun →
mirage8–130.0024%28 Jun →
mirage10–130.0223%24 Jun →
cache13–80.0423%24 Jun →
dust213–10-0.0635%24 Jun →
cache13–11-0.0519%17 Jun →
train13–60.0213%17 Jun →
dust213–11-0.0227%16 Jun →
vertigo9–10.1312%11 Jun →
train5–130.0429%11 Jun →

Match data via Leetify.

Recent teammates

Milestones

500 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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