dirty mustache

dirty mustache — CS2 Stats

MM76561198810930901[U:1:850665173]Steam profile ↗✓ No bans

514Tracked matches56%Win rate2020Tracked since
2,000Hours in CS13Hrs last 2 wks
CSDB Rating6.0 SolidSupport
Premier CS Rating13,128Blue band · top ~38.3% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 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: 13,128 +2,691 15 Aug – 13 Nov · 50 days played
6,53714,403peak 14,40315 Aug13 Nov
14,403Peak Premier in tracked matches
48Days played since 2026-08-15

Premier CS Rating

  • 1,275 below peak (14,403)
  • +1,996 over 30 days · improving
  • +2,691 over 90 days
  • Next: Purple band at 15,000 — 1,872 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-10-02
  • Light Blue band first seen 2026-09-13

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches3235−3
Win rate50%69%−19pp
K/D1.101.22−0.13
Headshot %46%47%−1pp

Measured 19 Oct 2026 → 14 Nov 2026; previous 13 Sep 2026 → 19 Oct 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,505), 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 playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate41.2%41.8%42.7%1.5% short
Shot accuracy8.5%12.2%11.2%2.7% short
Kill/death ratio0.880.980.990.11 short
Match win rate43.1%43.3%43.9%meets

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGdirty mustacheFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER13,128 · Blue 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

Aim61
Positioning61
Utility63

0–100 skill scores via Leetify.

Recent form

COLD53–43–4Last 10053%Win rateLWLWLLLLWL

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · +0.8pp headshot accuracy · −25ms reaction

Win rate down 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 (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 661ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 594ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 606ms

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 (+1.4 against its own average).

Aim6.1
Utility6.3
Positioning6.1
Opening Duels2.3

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

iM

Plays most like iM 76% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Areas to improve

CT openings. Opening success drops from 58% on T to 41% on CT — first contacts on the defending side are being lost.

Reaction time. 614ms 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

Aim6.1
Positioning6.1
Utility6.3
Mechanics7.3
Opening Duels4.9
Win Impact6.9

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time618ms+27ms
first ⅓ avg 591ms → last ⅓ avg 618ms
Headshot accuracy17.7%+2.1%
first ⅓ avg 15.7% → last ⅓ avg 17.7%

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 · 13–2 · ancient, 13 Sept →
33%Best headshot accuracy · 13–8 · cache, 15 Oct →
461msFastest reaction time · 5–13 · cache, 11 Nov →
13–1Biggest win · inferno, 18 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
7–14In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 63% over 8infernoWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
cacheB199–1047%0.02
dust2A1710–759%0.03
mirageA169–756%0.01
ancientA169–756%0.02
infernoC145–936%0.03
nukeA106–460%0.02
anubisA85–363%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

42,020Lifetime kills
0.88K/D
2,605Matches
43.1%Match win rate
41.2%Headshot %
8.5%Shot accuracy
4,548MVPs
1,151Hours (in match)
3,237Bombs planted
563Bombs defused

Most-used weapons

AK-4714,990
AWP4,406
UMP-451,340
FAMAS1,271
MAC-101,201
P2501,070

Lifetime map wins

7,278inferno
4,290dust2
1,210nuke
573vertigo
176cbble
167train
32office
16ar_shoots

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

Faceit stats

Combat

128Matches
51%Win rate
0.97Avg K/D
—ADR
41%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLW

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.

16.7%Headshot accuracy
32.9%Accuracy (enemy spotted)
31.2%Spray accuracy
82.9%Counter-strafing
9.9°Preaim
614msReaction time
58.2%T opening success
41.0%CT opening success
0.63Enemies flashed / flash
5.9%Flash assists
8.18HE damage / grenade
15.27Flashes / match

Recommended for you

Spend your practice time on Inferno

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

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis11–13-0.006%13 Nov →
nuke13–20.1516%13 Nov →
mirage8–13-0.0418%12 Nov →
mirage13–90.0624%12 Nov →
ancient11–13-0.0315%12 Nov →
cache5–130.0215%11 Nov →
inferno11–13-0.0318%11 Nov →
mirage5–130.0329%11 Nov →
anubis13–110.099%10 Nov →
nuke11–13-0.0320%5 Nov →
mirage13–9-0.0012%5 Nov →
ancient16–140.0212%4 Nov →
nuke9–13-0.0413%4 Nov →
dust24–130.017%4 Nov →
anubis15–15-0.0014%2 Nov →
inferno13–90.0422%2 Nov →
cache13–70.0328%1 Nov →
cache11–13-0.0111%1 Nov →
ancient13–20.0325%29 Oct →
inferno10–13-0.0118%28 Oct →
cache15–15-0.049%28 Oct →
mirage8–13-0.0328%27 Oct →
inferno15–150.1122%27 Oct →
mirage13–8-0.0418%26 Oct →
nuke13–60.087%26 Oct →
ancient13–100.0918%26 Oct →
anubis13–50.0421%22 Oct →
dust213–30.1223%22 Oct →
dust213–9-0.0215%22 Oct →
ancient13–110.0020%21 Oct →
nuke4–13-0.0825%21 Oct →
dust213–100.0416%15 Oct →
cache13–8-0.0233%15 Oct →
dust213–40.0925%14 Oct →
inferno7–130.0321%13 Oct →
cache7–13-0.0516%13 Oct →
cache6–13-0.0713%8 Oct →
inferno8–130.0112%6 Oct →
dust211–13-0.0213%4 Oct →
mirage13–11-0.0115%1 Oct →
mirage3–13-0.0111%1 Oct →
anubis9–13-0.0412%28 Sept →
mirage13–80.0417%28 Sept →
cache9–13-0.059%28 Sept →
nuke16–120.0515%26 Sept →
cache13–30.1422%25 Sept →
anubis13–50.0520%25 Sept →
dust213–5-0.0216%24 Sept →
nuke13–80.0718%24 Sept →
inferno11–130.1023%24 Sept →
ancient5–130.0013%23 Sept →
cache13–100.0413%23 Sept →
cache13–40.0619%22 Sept →
mirage13–6-0.0111%22 Sept →
inferno13–4-0.0315%22 Sept →
nuke13–10-0.0310%21 Sept →
ancient13–80.0222%21 Sept →
dust213–80.0419%19 Sept →
mirage11–13-0.0219%19 Sept →
dust213–60.0116%19 Sept →
inferno13–10.1221%18 Sept →
ancient13–5-0.0117%18 Sept →
cache13–50.0616%17 Sept →
ancient13–110.0116%16 Sept →
mirage13–60.1122%16 Sept →
dust213–80.0110%16 Sept →
cache5–130.0318%13 Sept →
ancient13–20.1619%13 Sept →
anubis13–70.0714%13 Sept →
dust213–70.0113%11 Sept →
inferno13–10.1224%7 Sept →
anubis13–60.1116%5 Sept →
cache5–130.1011%5 Sept →
mirage9–13-0.0313%3 Sept →
inferno8–13-0.0316%3 Sept →
ancient11–13-0.0311%2 Sept →
inferno13–60.0822%31 Aug →
dust28–130.0222%31 Aug →
ancient10–130.0515%31 Aug →
dust214–160.0315%30 Aug →
ancient5–130.0212%30 Aug →
inferno11–13-0.0114%30 Aug →
dust210–130.0115%29 Aug →
ancient15–150.0120%29 Aug →
inferno6–13-0.0211%29 Aug →
nuke9–130.0211%29 Aug →
dust213–90.029%28 Aug →
mirage13–9-0.045%28 Aug →
mirage9–130.0518%27 Aug →
ancient11–13-0.0319%27 Aug →
dust211–130.0823%27 Aug →
cache13–100.0520%25 Aug →
dust29–130.0220%25 Aug →
mirage16–140.0421%24 Aug →
cache11–130.0113%24 Aug →
cache13–100.0614%17 Aug →
cache13–160.0716%16 Aug →
nuke13–80.0414%16 Aug →
cache13–100.0316%15 Aug →
ancient16–140.0012%15 Aug →

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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