m3hu

m3hu — CS2 Stats

CX76561199111730029[U:1:1151464301]Steam profile ↗✓ No bans

524Tracked matches39%Win rate2025Tracked since
1,296Hours in CS18Hrs last 2 wks
CSDB Rating3.5 LearningPositional Player
Premier CS Rating3,061Grey band · top ~87% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 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: 3,061 -1,110 8 Sept – 2 Nov · 30 days played
3,0565,730peak 5,7308 Sept2 Nov
5,868Peak Premier in tracked matches
31Days played since 2026-09-08

Premier CS Rating

  • 2,669 below peak (5,730)
  • -702 over 30 days · declining
  • Next: Light Blue band at 5,000 — 1,939 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-20

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 Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate31.9%38.2%39.9%8.1% short
Shot accuracy0.3%3.6%7.0%6.7% short
Kill/death ratio0.760.830.920.16 short
Match win rate38.6%40.2%42.3%3.7% short

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

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

Share this profile

CSDB.GGm3huPREMIER3,061 · Grey bandcsdb.gg/stats

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Performance scores

Aim49
Positioning39
Utility33

0–100 skill scores via Leetify.

Recent form

COLD41–55–4Last 10041%Win rateLTLLWLWLWL

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · −0.3pp headshot accuracy · +26ms 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

  • 1–3–1 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 697ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 656ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 643ms

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).

Aim4.9
Utility3.3
Positioning3.9
Opening Duels0.0
Clutch2.6

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

iM

Plays most like iM 87% 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. 641ms 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

Aim4.9
Positioning3.9
Utility3.3
Mechanics6.5
Opening Duels0.8
Win Impact1.4

Composite 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.03
first ⅓ avg -0.03 → last ⅓ avg -0.00
Reaction time640ms+4ms
first ⅓ avg 635ms → last ⅓ avg 640ms
Headshot accuracy13.6%−0.3%
first ⅓ avg 13.9% → last ⅓ avg 13.6%

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

0.17Best match rating · 9–3 · poseidon, 24 Sept →
30%Best headshot accuracy · 4–13 · office, 2 Nov →
375msFastest reaction time · 2–13 · nuke, 12 Sept →
13–2Biggest win · mirage, 19 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–10In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 73% over 11dust2Weakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
nukeC187–1139%-0.03
mirageC176–1135%-0.04
ancientC125–742%-0.05
infernoD123–925%-0.02
anubisS118–373%-0.04
dust2D92–722%-0.04
cacheB84–450%-0.01
poseidonA53–260%0.04
office—42–250%-0.03
train—31–233%0.07
overpass—10–10%0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,736Lifetime kills
0.76K/D
1,721Matches
38.6%Match win rate
31.9%Headshot %
0.3%Shot accuracy
3,003MVPs
598Hours (in match)
2,542Bombs planted
449Bombs defused

Most-used weapons

Lifetime map wins

2,662nuke
1,814inferno
1,407dust2
592office
554train
282vertigo
11assault
6italy

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

Faceit stats

Combat

10Matches
20%Win rate
0.34Avg K/D
32.1ADR
55%Headshot %

Clutches & streaks

33%1v1 clutch win
17%1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust2333%0.386.3
Mirage30%0.213.3
Inferno20%0.325.0
Ancient10%0.385.0
Nuke1100%0.565.0

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.

13.2%Headshot accuracy
33.2%Accuracy (enemy spotted)
34.3%Spray accuracy
79.2%Counter-strafing
11.2°Preaim
641msReaction time
36.1%T opening success
30.3%CT opening success
0.46Enemies flashed / flash
3.9%Flash assists
6.60HE damage / grenade
3.54Flashes / 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 13.1793% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.46 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 36.0932% — below the 40% mark we flag

Spend your practice time on Dust 2

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.1413%2 Nov →
train12–120.1316%2 Nov →
office4–13-0.0330%2 Nov →
cache13–160.0512%28 Oct →
cache13–100.0614%28 Oct →
mirage9–13-0.0413%28 Oct →
anubis13–60.0112%27 Oct →
ancient7–13-0.069%27 Oct →
poseidon9–70.0912%27 Oct →
ancient4–13-0.025%26 Oct →
inferno7–90.018%25 Oct →
nuke11–130.067%25 Oct →
inferno11–13-0.0618%22 Oct →
cache13–7-0.0212%22 Oct →
poseidon9–50.1118%22 Oct →
dust213–90.089%22 Oct →
nuke13–9-0.023%22 Oct →
cache11–13-0.0416%19 Oct →
mirage13–2-0.0220%19 Oct →
poseidon5–9-0.1926%19 Oct →
inferno8–80.0120%19 Oct →
dust29–13-0.056%18 Oct →
mirage7–10.127%18 Oct →
dust22–13-0.1111%18 Oct →
anubis13–110.0311%17 Oct →
office13–50.0219%17 Oct →
dust27–13-0.1015%16 Oct →
dust25–13-0.0711%16 Oct →
nuke10–130.0018%16 Oct →
train9–13-0.0514%15 Oct →
overpass12–120.0811%15 Oct →
train13–40.1220%15 Oct →
anubis7–13-0.0216%15 Oct →
ancient10–13-0.0713%15 Oct →
inferno13–60.0020%12 Oct →
ancient8–13-0.1215%11 Oct →
anubis8–13-0.0911%11 Oct →
anubis13–6-0.0128%11 Oct →
nuke11–13-0.0011%9 Oct →
dust213–10-0.0018%9 Oct →
dust25–13-0.0214%9 Oct →
ancient13–9-0.0612%8 Oct →
nuke3–13-0.0013%7 Oct →
nuke13–40.0513%7 Oct →
ancient10–13-0.056%6 Oct →
inferno10–13-0.0113%6 Oct →
office10–13-0.0817%4 Oct →
dust29–13-0.0011%25 Sept →
inferno13–7-0.0013%25 Sept →
cache9–13-0.0410%25 Sept →
mirage9–13-0.0120%25 Sept →
anubis9–13-0.068%24 Sept →
nuke11–13-0.0816%24 Sept →
anubis13–10-0.0514%24 Sept →
mirage10–13-0.0415%24 Sept →
dust210–13-0.086%24 Sept →
nuke13–10-0.0413%24 Sept →
mirage14–16-0.0710%24 Sept →
poseidon9–30.1713%24 Sept →
inferno6–13-0.0117%23 Sept →
nuke6–13-0.067%22 Sept →
inferno9–13-0.088%22 Sept →
nuke8–13-0.1314%21 Sept →
mirage7–13-0.129%21 Sept →
ancient16–13-0.0618%21 Sept →
inferno7–13-0.0318%21 Sept →
mirage13–11-0.0518%21 Sept →
ancient8–13-0.0612%21 Sept →
nuke16–13-0.0619%20 Sept →
nuke13–7-0.059%20 Sept →
mirage6–13-0.075%20 Sept →
cache13–11-0.079%20 Sept →
mirage13–11-0.029%15 Sept →
anubis16–12-0.0714%15 Sept →
nuke11–13-0.0414%14 Sept →
nuke2–13-0.0620%12 Sept →
ancient4–13-0.080%11 Sept →
mirage8–13-0.0112%10 Sept →
mirage13–10-0.0125%10 Sept →
cache13–4-0.0512%10 Sept →
office13–8-0.0526%10 Sept →
mirage13–5-0.0527%10 Sept →
inferno11–13-0.0318%10 Sept →
anubis13–7-0.042%10 Sept →
ancient13–8-0.0612%10 Sept →
cache6–130.0221%9 Sept →
ancient13–30.0412%9 Sept →
nuke13–5-0.108%9 Sept →
inferno13–80.0329%9 Sept →
ancient13–7-0.028%9 Sept →
mirage15–15-0.058%9 Sept →
nuke13–4-0.0326%9 Sept →
anubis13–6-0.066%9 Sept →
inferno4–13-0.046%9 Sept →
mirage9–13-0.0013%8 Sept →
nuke11–13-0.0213%8 Sept →
nuke7–130.0810%8 Sept →
anubis13–7-0.0316%8 Sept →
poseidon4–90.0227%8 Sept →
mirage4–13-0.0310%8 Sept →

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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