Markku Mutanen

Markku Mutanen — CS2 Stats

EE76561198846327728[U:1:886062000]Steam profile ↗✓ No bans

710Tracked matches37%Win rate2021Tracked since
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating20,925Top 50% of 215,558 CSDB-tracked playersPink band · top ~7.5% of ranked players (population est.)
CSDB Leaderboard#71738 of 261702 tracked
FaceitLevel 7 · 1,353 ELOTop 42.3% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 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: 20,925 -1,287 23 Sept – 14 Nov · 25 days played
20,60922,996peak 22,99623 Sept14 Nov
23,422Peak Premier in tracked matches
1,353Highest Faceit ELO seen on CSDB
30Days played since 2026-09-23

Faceit ELO

  • At peak — 1,353
  • Next: Level 8 at 1,531 — 178 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

Premier CS Rating

  • 2,071 below peak (22,996)
  • Next: Red band at 25,000 — 4,075 to go
  • Reached: Pink band · 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.GGMarkku MutanenFACEITLevel 7 · 1,353 ELOSTANDINGTop 42.3% of rankedPREMIER20,925 · Pink bandPEAK ELO1,353csdb.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
Positioning60
Utility32

0–100 skill scores via Leetify.

Recent form

COLD45–53–2Last 10045%Win rateLLLLLWWWLL

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · −0.1pp headshot accuracy · −5ms reaction

Win rate down 20pp 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

  • 0–5 · 0% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 594ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 596ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 599ms

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).

Aim7.5
Utility3.2
Positioning6.0
Opening Duels4.5
Clutch4.4

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

donk

Plays most like donk 91% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

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

Reaction time. 601ms 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
Positioning6.0
Utility3.2
Mechanics5.4
Opening Duels5.0
Win Impact0.6

Composite 5.4/10 (Developing), 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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time610ms+53ms
first ⅓ avg 557ms → last ⅓ avg 610ms
Headshot accuracy24.0%+0.0%
first ⅓ avg 24.0% → last ⅓ avg 24.0%

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

0.13Best match rating · 8–13 · cache, 26 Sept →
50%Best headshot accuracy · 1–13 · dust2, 25 Sept →
406msFastest reaction time · 0–8 · mirage, 10 Nov →
13–0Biggest win · ancient, 6 Nov →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L5Current streak
7–3In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 64% over 14infernoWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
mirageC2310–1343%-0.02
nukeB1910–953%0.01
ancientA149–564%0.01
infernoD134–931%0.00
anubisC135–838%0.01
cacheD93–633%0.03
dust2C83–538%-0.00
office—11–0100%0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

376Matches
52%Win rate
1.12Avg K/D
81.3ADR
50%Headshot %

Clutches & streaks

42%1v1 clutch win
22%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage11059%1.2718.1
Dust25256%1.0916.6
Nuke3751%1.1614.8
Ancient2030%1.0615.3
Anubis1747%0.8313.6
Inferno1436%0.9412.6
Overpass933%0.8212.9
Vertigo1100%0.9416.0

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.

24.6%Headshot accuracy
35.5%Accuracy (enemy spotted)
39.9%Spray accuracy
74.2%Counter-strafing
9.9°Preaim
601msReaction time
49.8%T opening success
49.9%CT opening success
0.39Enemies flashed / flash
15.4%Flash assists
7.38HE damage / grenade
2.83Flashes / 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. 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 0.3857 — below the 0.5 mark we flag

    Grenade Lineups →
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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache2–130.0019%15 Nov →
inferno6–130.0832%15 Nov →
ancient6–130.0114%14 Nov →
nuke14–16-0.0418%14 Nov →
cache9–130.0329%14 Nov →
mirage13–11-0.0225%13 Nov →
office13–110.0740%12 Nov →
anubis13–80.0627%12 Nov →
anubis8–13-0.0312%12 Nov →
anubis9–13-0.0320%12 Nov →
mirage3–130.0127%11 Nov →
mirage13–9-0.0524%11 Nov →
anubis6–130.0723%11 Nov →
anubis13–90.0926%10 Nov →
dust213–10-0.0315%10 Nov →
nuke13–100.0437%10 Nov →
mirage0–8-0.0118%10 Nov →
ancient8–13-0.0223%10 Nov →
cache13–40.0510%10 Nov →
nuke4–130.0134%9 Nov →
anubis8–13-0.0637%8 Nov →
anubis7–130.0014%8 Nov →
mirage1–8-0.0225%7 Nov →
ancient13–40.0324%6 Nov →
ancient13–00.0826%6 Nov →
inferno7–13-0.0026%5 Nov →
mirage9–130.0114%3 Nov →
ancient13–10-0.0423%2 Nov →
mirage6–13-0.0732%1 Nov →
dust24–13-0.0146%1 Nov →
mirage9–13-0.0320%1 Nov →
mirage13–7-0.0018%31 Oct →
cache11–130.0616%31 Oct →
dust216–120.0138%31 Oct →
ancient13–60.0428%31 Oct →
ancient7–130.0826%29 Oct →
nuke13–40.0316%28 Oct →
mirage13–60.0623%28 Oct →
inferno6–130.0433%28 Oct →
nuke10–13-0.0237%27 Oct →
inferno13–60.0516%27 Oct →
mirage13–4-0.075%26 Oct →
dust27–130.0239%26 Oct →
nuke12–160.0412%25 Oct →
inferno8–13-0.0725%25 Oct →
anubis13–70.0721%25 Oct →
mirage13–4-0.0427%25 Oct →
anubis10–13-0.0633%25 Oct →
mirage13–11-0.0120%25 Oct →
ancient3–13-0.080%25 Oct →
inferno8–80.0431%24 Oct →
nuke8–13-0.0133%24 Oct →
mirage13–50.0425%24 Oct →
ancient13–11-0.0442%23 Oct →
mirage10–13-0.0139%23 Oct →
inferno13–11-0.0131%23 Oct →
mirage13–60.0129%23 Oct →
nuke7–13-0.0640%4 Oct →
anubis4–13-0.0231%4 Oct →
ancient13–70.0114%4 Oct →
cache13–80.0322%4 Oct →
cache8–13-0.0321%3 Oct →
mirage9–13-0.0732%3 Oct →
nuke13–40.0429%3 Oct →
nuke9–130.0117%3 Oct →
nuke11–13-0.0013%3 Oct →
nuke5–13-0.0240%3 Oct →
anubis5–130.0323%2 Oct →
ancient16–14-0.0715%2 Oct →
mirage7–13-0.0628%2 Oct →
inferno13–90.0018%2 Oct →
inferno8–13-0.0620%2 Oct →
anubis13–9-0.0634%2 Oct →
nuke13–100.0322%27 Sept →
inferno13–16-0.0114%27 Sept →
nuke13–4-0.0031%27 Sept →
nuke13–90.0717%27 Sept →
mirage6–13-0.0134%27 Sept →
mirage7–13-0.0118%27 Sept →
ancient16–140.0121%27 Sept →
cache8–130.1320%26 Sept →
dust213–100.0220%26 Sept →
mirage8–13-0.0226%26 Sept →
nuke16–120.0712%26 Sept →
dust25–13-0.0630%26 Sept →
ancient13–8-0.0117%26 Sept →
anubis16–120.0430%26 Sept →
nuke13–50.0538%26 Sept →
cache9–13-0.0226%26 Sept →
nuke13–9-0.0018%25 Sept →
dust21–130.0050%25 Sept →
cache16–130.0220%25 Sept →
nuke13–90.0311%25 Sept →
mirage16–120.0322%24 Sept →
dust26–130.0320%24 Sept →
inferno4–13-0.0436%24 Sept →
ancient15–150.0819%23 Sept →
inferno13–90.0136%23 Sept →
inferno9–130.0025%23 Sept →
mirage6–13-0.0320%23 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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