Maku

Maku — CS2 Stats

EE76561198273443476[U:1:313177748]Steam profile ↗✓ No bans

1,432Tracked matches63%Win rate2020Tracked since
CSDB Rating6.4 SolidSupport
Premier CS Rating15,584Purple band · top ~26.1% of ranked players (population est.)
FaceitLevel 6 · 1,016 ELOTop 54.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Sep 2026 (12 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 21 days played since 27 Jun 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 15,584 -1,229 27 Jun7 Sept · 14 days played
15,58416,930peak 16,93027 Jun7 Sept
17,168Peak Premier in tracked matches
1,016Highest Faceit ELO seen on CSDB
21Days played since 2026-06-27

Faceit ELO

  • At peak — 1,016
  • Next: Level 5 at 1,051 35 to go
  • Reached: Level 4 · Level 3 · Level 2

Premier CS Rating

  • 1,346 below peak (16,930)
  • Next: Pink band at 20,000 4,416 to go
  • Reached: 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.

Share this profile

CSDB.GGMakuFACEITLevel 6 · 1,016 ELOSTANDINGTop 54.0% of rankedPREMIER15,584 · Purple bandPEAK ELO1,016csdb.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

Aim75
Positioning48
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY47467Last 10047%Win rateWLLWLWWWLW

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −0.3pp headshot accuracy · +59ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 19%
  • Avg reaction 639ms

Last 10

  • 64 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 644ms

Last 20

  • 137 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 615ms

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: SupportUtility contribution stands above the rest of this profile (+1.4 against its own average).

Aim7.5
Utility6.3
Positioning4.8
Opening Duels4.4
Clutch4.0

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 83% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower positioning 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

T-side openings. Opening success drops from 50% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 605ms 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

Aim7.5
Positioning4.8
Utility6.3
Mechanics6.9
Opening Duels2.9
Win Impact9.4

Composite 6.4/10 (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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time607ms+15ms
first ⅓ avg 592ms → last ⅓ avg 607ms
Headshot accuracy18.5%+1.6%
first ⅓ avg 16.9% → last ⅓ avg 18.5%

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

0.38Best match rating · 9–0 · vertigo, 3 Jul
31%Best headshot accuracy · 13–9 · overpass, 21 Jul
414msFastest reaction time · 4–13 · mirage, 28 Jun
13–1Biggest win · inferno, 5 Jul

Across the last 100 tracked matches.

Highlights

4Longest win streak
35In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 67% over 15ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageC25111444%0.01
infernoA2012860%0.00
nukeS1510567%0.03
anubisD72529%0.01
cacheD72529%-0.02
vertigoC73443%0.05
ancientD51420%-0.03
dust2C52340%-0.03
overpass43175%0.02
office3030%0.03
train110100%0.14
debris1010%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

122Matches
47%Win rate
0.99Avg K/D
83.6ADR
43%Headshot %

Clutches & streaks

40%1v1 clutch win
33%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3551%1.0715.3
Nuke1540%1.1117.0
Inferno1560%1.0215.7
Ancient8100%0.9513.9
Overpass743%0.8413.7
Dust2729%0.9215.3
Anubis425%1.2618.0
Cache367%1.5724.7

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.

18.5%Headshot accuracy
34.4%Accuracy (enemy spotted)
38.3%Spray accuracy
80.9%Counter-strafing
8.0°Preaim
605msReaction time
34.0%T opening success
49.6%CT opening success
0.56Enemies flashed / flash
7.2%Flash assists
7.70HE damage / grenade
13.08Flashes / 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 33.9686% — 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–70.0324%7 Sept
mirage11–130.0313%24 Jul
anubis9–130.0727%24 Jul
inferno13–80.0924%24 Jul
anubis7–13-0.025%23 Jul
inferno16–12-0.0126%22 Jul
cache13–3-0.0221%22 Jul
nuke13–4-0.0520%22 Jul
inferno10–130.0318%22 Jul
vertigo13–50.0315%21 Jul
overpass13–90.0031%21 Jul
train13–80.1426%21 Jul
anubis10–13-0.0320%20 Jul
nuke13–90.0220%20 Jul
ancient13–9-0.0116%15 Jul
cache13–90.0315%15 Jul
nuke13–100.0215%14 Jul
ancient11–130.0215%14 Jul
anubis13–10-0.0521%14 Jul
anubis8–130.0118%13 Jul
mirage13–100.0620%13 Jul
mirage16–120.0511%13 Jul
mirage13–100.0221%12 Jul
cache5–130.0022%12 Jul
nuke13–100.0415%12 Jul
mirage13–60.0313%12 Jul
debris8–8-0.0416%12 Jul
inferno5–9-0.0721%12 Jul
dust213–90.0311%12 Jul
nuke5–13-0.0624%12 Jul
vertigo8–13-0.0319%11 Jul
ancient7–13-0.0510%11 Jul
mirage13–6-0.0218%11 Jul
nuke10–130.0120%11 Jul
dust213–60.0013%11 Jul
inferno12–12-0.0516%11 Jul
dust26–13-0.1013%11 Jul
nuke13–90.0420%11 Jul
cache15–150.0017%11 Jul
inferno13–40.0119%11 Jul
cache11–13-0.0719%11 Jul
inferno6–13-0.0415%9 Jul
mirage9–130.0215%9 Jul
vertigo10–13-0.0119%9 Jul
inferno8–130.0116%9 Jul
ancient7–13-0.1013%9 Jul
anubis13–80.0112%9 Jul
cache8–13-0.0613%9 Jul
nuke12–160.0214%9 Jul
mirage15–150.0225%9 Jul
inferno13–60.0312%9 Jul
inferno12–12-0.069%8 Jul
mirage13–60.0224%8 Jul
vertigo13–8-0.0229%8 Jul
mirage6–13-0.0112%7 Jul
nuke8–13-0.0416%7 Jul
cache2–13-0.0524%7 Jul
inferno13–80.0523%7 Jul
mirage8–13-0.0320%5 Jul
mirage13–90.0414%5 Jul
mirage13–90.0330%5 Jul
nuke13–100.0816%5 Jul
inferno13–10.0115%5 Jul
mirage10–13-0.0822%5 Jul
nuke13–9-0.0310%5 Jul
anubis10–130.0624%3 Jul
overpass13–20.0421%3 Jul
nuke10–130.0213%3 Jul
vertigo9–00.3830%3 Jul
mirage13–90.1012%3 Jul
mirage10–13-0.0416%3 Jul
inferno13–30.0312%3 Jul
mirage10–130.0320%1 Jul
mirage6–130.0621%30 Jun
office10–13-0.0415%30 Jun
inferno12–12-0.0517%30 Jun
mirage16–140.0214%29 Jun
inferno13–110.0123%29 Jun
mirage6–13-0.0219%29 Jun
mirage9–130.0522%29 Jun
inferno6–2-0.0318%29 Jun
overpass11–13-0.0016%29 Jun
mirage4–13-0.0121%28 Jun
nuke13–110.0618%28 Jun
mirage7–13-0.0018%28 Jun
inferno7–13-0.0526%28 Jun
overpass13–100.0229%28 Jun
office6–130.0611%27 Jun
nuke13–10-0.039%27 Jun
vertigo7–13-0.0217%27 Jun
inferno13–100.0211%27 Jun
office11–130.0617%27 Jun
mirage13–8-0.0013%27 Jun
vertigo5–13-0.0110%27 Jun
nuke12–00.3630%27 Jun
mirage12–120.028%27 Jun
dust24–13-0.075%27 Jun
ancient5–13-0.0315%27 Jun
inferno13–30.0719%27 Jun
dust24–13-0.0312%27 Jun

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →