Maku

Maku — CS2 Stats

EE76561198846178406[U:1:885912678]Steam profile ↗✓ No bans

559Tracked matches52%Win rate2022Tracked since
695Hours in CS
CSDB Rating5.8 SolidClutch Specialist
CSDB Leaderboard#80609 of 226291 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify
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. 34 days played since 19 Mar 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 19,624 +1,886 20 Mar17 Jun · 26 days played
15,29320,000peak 20,00020 Mar17 Jun
20,489Peak Premier in tracked matches
34Days played since 2026-03-19

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

Compare periods

Last 7 days vs previous 7

No matches recorded between 12 Sep 2026 and 18 Sep 2026.

Measured 12 Sep 202618 Sep 2026; no observation near 14 days ago, so there is no previous window yet.

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=8,862), 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 rate49.1%41.9%42.7%above
Shot accuracy8.9%12.2%11.2%2.3% short
Kill/death ratio1.210.981.00above
Match win rate50.5%43.3%43.9%above

This profile matches the typical Level 4 player on 3 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.GGMakuFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim69
Positioning48
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY54442Last 10054%Win rateWWWWLWLLLL

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · −2.2pp headshot accuracy · −22ms 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

  • 41 · 80% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 21%
  • Avg reaction 606ms

Last 10

  • 55 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 665ms

Last 20

  • 119 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 676ms

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: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+1.7 against its own average).

Aim6.9
Utility5.2
Positioning4.8
Opening Duels4.8
Clutch7.2

Reliable in 1v1s

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

ZywOo

Plays most like ZywOo 90% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 647ms 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

Aim6.9
Positioning4.8
Utility5.2
Mechanics6.8
Opening Duels4.0
Win Impact5.6

Composite 5.8/10 (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 rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time647ms+9ms
first ⅓ avg 637ms → last ⅓ avg 647ms
Headshot accuracy21.3%−0.1%
first ⅓ avg 21.4% → last ⅓ avg 21.3%

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

0.20Best match rating · 13–4 · cache, 20 May
50%Best headshot accuracy · 9–2 · dust2, 23 Apr
453msFastest reaction time · 16–14 · inferno, 27 Apr
13–0Biggest win · dust2, 28 Apr

Across the last 100 tracked matches.

Highlights

9Longest win streak
W4Current streak
75In matches decided by ≤2 rounds
4Overtime games

Map breakdown

infernoBest map · 75% over 8nukeWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A25151060%0.01
mirageB21101148%0.03
overpassS107370%0.03
nukeD93633%-0.01
infernoS86275%0.02
ancientC83538%0.00
cacheB63350%0.05
anubisA53260%-0.02
office31233%0.06
train32167%0.00
shelter110100%0.10
vertigo1010%0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

37,433Lifetime kills
1.21K/D · Top 25% of Level 3 players
1,897Matches
50.5%Match win rate · Top 10% of Level 3 players
49.1%Headshot % · Top 25% of Level 3 players
8.9%Shot accuracy
5,692MVPs
695Hours (in match)
1,284Bombs planted
477Bombs defused

Most-used weapons

Lifetime map wins

2,797dust2
2,140inferno
1,611office
1,388nuke
1,121vertigo
780train
313italy
59cbble

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

Faceit stats

Combat

70Matches
61%Win rate
1.95Avg K/D
98.6ADR
43%Headshot %

Clutches & streaks

56%1v1 clutch win
47%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage862%1.5918.3
Ancient580%1.4818.8
Dust2367%8.3423.0
Anubis250%1.7421.5
Inferno1100%0.8416.0
Nuke10%1.0715.0
Cache1100%1.2316.0

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.

20.7%Headshot accuracy
33.2%Accuracy (enemy spotted)
34.9%Spray accuracy
80.5%Counter-strafing
8.3°Preaim
647msReaction time
42.8%T opening success
49.5%CT opening success
0.60Enemies flashed / flash
6.3%Flash assists
6.53HE damage / grenade
9.26Flashes / match

Recommended for you

Spend your practice time on Nuke

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 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
shelter13–110.1017%11 Jul
inferno13–60.0424%11 Jul
overpass13–40.0819%21 Jun
dust213–70.0827%21 Jun
overpass4–13-0.0116%17 Jun
overpass13–10-0.0517%14 Jun
dust211–13-0.0511%14 Jun
vertigo9–130.0321%6 Jun
cache5–13-0.0325%6 Jun
cache1–13-0.0820%5 Jun
cache7–130.1031%5 Jun
ancient13–8-0.0121%27 May
dust213–110.0123%25 May
cache13–40.2024%20 May
dust24–13-0.0119%20 May
overpass13–10.0912%19 May
nuke3–13-0.0122%19 May
overpass13–50.0626%19 May
mirage13–50.0220%19 May
ancient5–130.0622%18 May
inferno13–8-0.0114%18 May
dust24–13-0.0414%18 May
dust215–15-0.0018%17 May
office2–90.0824%30 Apr
cache13–90.0825%30 Apr
cache13–60.0418%30 Apr
ancient12–160.0530%28 Apr
dust28–130.0725%28 Apr
nuke2–13-0.0614%28 Apr
dust213–0-0.0121%28 Apr
inferno7–30.0345%28 Apr
nuke13–10.0429%27 Apr
dust213–11-0.0012%27 Apr
inferno16–14-0.0113%27 Apr
nuke13–7-0.0019%27 Apr
mirage3–13-0.0521%27 Apr
mirage13–6-0.0126%27 Apr
dust213–4-0.0232%27 Apr
ancient6–13-0.0332%26 Apr
inferno5–130.0238%26 Apr
mirage6–130.0721%25 Apr
office13–20.0430%25 Apr
overpass4–130.0025%25 Apr
dust214–16-0.0122%25 Apr
overpass13–30.0219%25 Apr
anubis13–80.0330%24 Apr
office11–130.0730%24 Apr
mirage13–110.0621%24 Apr
dust213–80.0528%24 Apr
mirage13–80.0928%23 Apr
dust213–5-0.0535%23 Apr
dust29–20.1050%23 Apr
mirage13–10.1329%23 Apr
dust213–90.0026%22 Apr
anubis13–110.0122%22 Apr
dust213–50.0926%22 Apr
mirage4–13-0.0031%22 Apr
ancient13–100.0224%22 Apr
nuke1–13-0.0421%22 Apr
train13–80.0233%22 Apr
train12–12-0.0225%22 Apr
train13–50.0131%22 Apr
inferno13–20.0620%21 Apr
overpass13–10.0918%21 Apr
overpass13–110.1029%20 Apr
anubis3–13-0.0428%20 Apr
mirage13–60.067%20 Apr
dust210–13-0.0423%20 Apr
dust213–50.0219%20 Apr
dust26–13-0.0326%19 Apr
mirage3–130.0215%19 Apr
inferno13–70.0630%19 Apr
anubis6–13-0.0917%18 Apr
mirage4–13-0.0226%18 Apr
inferno9–13-0.0130%18 Apr
nuke11–130.0120%17 Apr
dust213–20.1724%17 Apr
nuke6–130.0314%17 Apr
dust23–13-0.0111%17 Apr
mirage3–13-0.0327%17 Apr
mirage13–10.1220%17 Apr
ancient13–70.0736%15 Apr
mirage7–130.0523%7 Apr
mirage13–2-0.0017%6 Apr
mirage13–70.0534%6 Apr
mirage6–13-0.0121%5 Apr
anubis13–50.0014%1 Apr
nuke13–100.0518%30 Mar
overpass7–13-0.0617%21 Mar
mirage9–130.0721%21 Mar
mirage12–10.1112%21 Mar
dust213–2-0.0313%20 Mar
dust213–100.0521%20 Mar
dust213–7-0.0129%20 Mar
mirage9–13-0.0416%20 Mar
ancient2–13-0.0823%20 Mar
mirage9–13-0.0419%20 Mar
nuke9–13-0.0815%20 Mar
dust211–130.0323%19 Mar
ancient7–13-0.0233%19 Mar

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 →